John McMenamy | Health Professions | Best Researcher Award

Dr. John McMenamy | Health Professions | Best Researcher Award

Dr. John McMenamy, Denver Health & Hospital Authority, United States

Dr. John McMenamy, MD, MBA, CPE, CMQ, is a distinguished radiologist specializing in neuroradiology and diagnostic imaging. Born in St. Louis, Missouri, he has over two decades of experience in medical imaging and healthcare leadership. Currently serving as Associate Professor at the University of Colorado School of Medicine and Associate Chair of Radiology at Denver Health, Dr. McMenamy has been instrumental in advancing radiological practices and integrating innovative technologies to enhance patient care. His commitment to excellence is evident in his efforts to streamline clinical operations, implement AI-driven imaging solutions, and foster a culture of continuous improvement within healthcare systems. Beyond his clinical duties, he is recognized for his contributions to medical education and quality improvement initiatives, making significant strides in optimizing healthcare delivery and patient outcomes.

Professional Profile

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John McMenamy, MD, MBA: Suitability for the Research for Best Researcher Award

Dr. John McMenamy, MD, MBA, stands out as an exceptional candidate for the Research for Best Researcher Award due to his comprehensive contributions to clinical radiology, operational efficiency, and leadership in healthcare innovation. His educational background, consisting of an MD from the University of Texas Medical School and an MBA from the University of Massachusetts, Amherst, coupled with specialized postdoctoral training, provides a solid foundation for his leadership in radiology. With certifications in radiology and clinical quality, Dr. McMenamy has proven himself as a subject matter expert in medical imaging and healthcare management.

His leadership roles, particularly as the Associate Chair of the Department of Radiology at Denver Health, demonstrate a track record of advancing clinical operations, quality, and safety improvements. Dr. McMenamy has significantly contributed to the optimization of imaging workflows, including the implementation of artificial intelligence (AI) platforms and dual-energy CT (DECT) to improve diagnostic accuracy and patient outcomes. His strategic vision for Denver Health's Radiology Department, developed collaboratively with colleagues, has had a profound impact on patient experience, clinical efficiency, and cost-saving measures. For instance, his initiative to implement an AI-assisted workflow increased CT capacity by 36%, while improving radiologist productivity and turnaround times by over 20%.

Education 

Dr. McMenamy's academic journey began with dual Bachelor of Science and Bachelor of Arts degrees in Biology from Truman State University in 2000. He earned his Doctor of Medicine from the University of Texas Medical School at Houston in 2004. Following this, he completed an internal medicine internship at SSM St. Mary's Health Center in St. Louis. He pursued a residency in Radiology and a fellowship in Neuroradiology at the University of Texas Southwestern Medical Center, concluding in 2010. To augment his clinical expertise with administrative acumen, Dr. McMenamy obtained an MBA from the University of Massachusetts, Amherst, in 2017. His commitment to quality improvement is further demonstrated by his participation in the Clinical Quality Fellowship Program through the Greater New York Hospital Association/United Hospital Fund. He holds certifications from the American Board of Radiology in Diagnostic Radiology and Neuroradiology, as well as credentials in medical quality and physician executive leadership.

Professional Experience 

Dr. John McMenamy's professional career is marked by leadership roles and clinical excellence. At Denver Health, he serves as Associate Chair of Radiology, where he oversees clinical operations, IT integration, and quality initiatives. His tenure includes the development of strategic visions and operational frameworks that have enhanced departmental efficiency and patient care. Dr. McMenamy has been pivotal in implementing AI-assisted diagnostic tools, optimizing imaging protocols, and improving emergency department workflows. His previous roles include faculty appointments at NYU School of Medicine, where he contributed to academic and clinical advancements in radiology. His expertise extends to disaster preparedness and mass casualty incident response, reflecting a comprehensive approach to healthcare delivery. Through collaborative efforts with multidisciplinary teams, he has successfully led initiatives that reduced unnecessary imaging, improved turnaround times, and enhanced overall patient experience. His career exemplifies a commitment to innovation, education, and quality in the medical field.

Awards and Recognition 

Dr. McMenamy's contributions to medicine have earned him numerous accolades. He is a Certified Physician Executive (CPE) and holds the Certified in Medical Quality (CMQ) designation, reflecting his dedication to healthcare excellence. His leadership in radiology has been recognized through appointments to key positions at Denver Health and the University of Colorado School of Medicine. He has been instrumental in implementing high-reliability organizational practices, leading to improved trauma imaging performance and patient outcomes. His work in standardizing inpatient MRI workflows has been highlighted by the Greater New York Hospital Association, showcasing his impact on healthcare quality and efficiency. Dr. McMenamy's research and publications in peer-reviewed journals further underscore his commitment to advancing medical knowledge and practice. His peers and institutions have consistently acknowledged his innovative approaches and dedication to improving healthcare systems.

Research Skills On Health Professions

Dr. McMenamy possesses extensive research expertise in radiology, with a focus on neuroradiology, trauma imaging, and the integration of artificial intelligence in clinical workflows. His scholarly work includes studies on imaging techniques for necrotizing fasciitis, facial fractures, and the application of AI to enhance emergency department CT capacity. He has contributed to the development of high-reliability organizational approaches to improve trauma imaging performance, emphasizing the importance of culture and teamwork in healthcare settings. His research on the performance of noncontrast CT stroke platforms demonstrates his commitment to advancing diagnostic accuracy and patient care. Dr. McMenamy's ability to translate complex research findings into practical applications has significantly impacted clinical protocols and patient outcomes. His collaborative efforts with multidisciplinary teams highlight his skill in integrating research into everyday medical practice, ensuring that innovations directly benefit patients and healthcare systems.

 Publication Top Notes

  • Electronic Health Record Improvements to Reduce Emergency Department CT Prescan Times at a Safety Net Hospital

    • Authors: Hardik Patel, Mouna Chebaane, Rolando G. Gerena, Corey A. Thompson, Adam Schwertner, Bradley D. Shy, David M. Naeger, John McMenamy

    • Journal: Journal of the American College of Radiology

    • Year: 2025

  • A “High-Reliability Organization” Approach to Improve Trauma Imaging Performance

    • Authors: John McMenamy, Ahmad Garada, Sergey Kochkine, Randy Miles, David M. Naeger

    • Journal: Journal of the American College of Radiology

    • Year: 2023

  • Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency Department

    • Authors: Luke A. Ginocchio, John Rogener, Ryan Chung, Xi Xue, Dean Tarnovsky, John McMenamy

    • Journal: Current Problems in Diagnostic Radiology

    • Year: 2022

  • Assistance from Automated Aspects Software Improves Reader Performance

    • Authors: Not listed

    • Journal: Journal of Stroke & Cerebrovascular Diseases

    • Year: 2021

  • A Resident-driven Intervention to Decrease Door-to-needle Time and Increase Resident Satisfaction in a Resource-limited Setting

    • Authors: Not listed

    • Journal: Neurology

    • Year: 2018

  • A Resident-driven Intervention to Decrease Door-to-needle Time and Increase Resident Satisfaction in a Resource-limited Setting

    • Authors: Not listed

    • Journal: Stroke

    • Year: 2018

  • Use of a Referring Physician Survey to Direct and Evaluate Department-Wide Radiology Quality Improvement Efforts

    • Authors: Not listed

    • Journal: Journal of the American College of Radiology

    • Year: 2015

  • MDCT Diagnosis of Acute Pulmonary Embolism in the Emergent Setting

    • Authors: Not listed

    • Journal: Emergency Radiology

    • Year: 2015

  • Differentiating Shunt-Responsive Normal Pressure Hydrocephalus from Alzheimer Disease and Normal Aging: Pilot Study Using Automated MRI Brain Tissue Segmentation

    • Authors: Not listed

    • Journal: Journal of Neurology

    • Year: 2014

  • MRI of the Petromastoid Canal in Children

    • Authors: Not listed

    • Journal: Journal of Magnetic Resonance Imaging

    • Year: 2014

 

Prof. Jiarui Chen | Medicine and Dentistry | Best Researcher Award

Prof. Jiarui Chen | Medicine and Dentistry | Best Researcher Award 🏆

professor. Jiarui Chen,The First Affiliated Hospital of Guangxi Medical University, China🎓

Professional Profile 

🎓Early Academic Pursuits👨‍⚕️

Dr. Jiarui Chen embarked on his academic journey at Guangxi Medical University, where he pursued a residency in medicine and earned his Ph.D. His early research focused on innovative approaches in bioinformatics and spinal surgery, laying a strong foundation for his career.

🏥Professional Endeavors 

Currently a resident physician and Ph.D. candidate, Dr. Chen is a prominent member of the Youth Committee of the Guangxi Bioinformatics Society. His role involves contributing to cutting-edge research and fostering advancements in the field. Dr. Chen has authored or co-authored over 7 SCI papers with a cumulative impact factor exceeding 20. He is also a reviewer for esteemed journals such as “Aging,” “Heliyon,” and “Arthritis Research & Therapy.”

🔬Contributions and Research Focus

Dr. Chen’s research primarily centers on spine surgery, pediatric orthopedics, immune diseases, and bone tuberculosis. Notable projects include the “CT Anatomical Analysis of C4 Pedicle and Lateral Mass in Children Aged 0–14 in Southern China,” and his work has significantly impacted understanding and treatment methodologies in these areas. His research has led to valuable insights and advancements in clinical practice.

🏆Accolades and Recognition 

Dr. Chen’s scholarly contributions have earned him recognition within the academic community. His extensive publication record and impact factor highlight his influence in the field of spinal and osteopathy surgery. His role as a reviewer for high-impact journals underscores his commitment to maintaining research quality and integrity.

🌟Impact and Influence 

Dr. Chen’s research has improved patient outcomes and contributed to advancements in medical knowledge. His innovative approaches and findings have impacted both clinical practices and scientific understanding, particularly in spinal surgery and immune diseases.

🌱Legacy and Future Contributions

Looking ahead, Dr. Chen aims to continue his research in spinal surgery and immune diseases, with a focus on developing novel treatment strategies and enhancing patient care. His work is poised to make lasting contributions to the field, shaping future research and clinical practices.

📖Publications : 

Paper Title: Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study
Authors: Feng, S., Wang, S., Liu, C., Wei, W., Zhan, X.
Journal: Scientific Reports
Volume: 14
Issue: 1
Pages: 7691
Year: 2024

Paper Title: Age and flexors as risk factors for cervical radiculopathy: A new machine learning method
Authors: Pan, S., Liu, C., Chen, J., Ye, Y., Zhan, X.
Journal: Medicine (United States)
Volume: 103
Issue: 4
Pages: E36939
Year: 2024

Paper Title: Identification of osteosarcoma m6A-related prognostic biomarkers using artificial intelligence: RBM15
Authors: Jiang, J., Qu, H., Zhan, X., Yao, Y., Liu, C.
Journal: Scientific Reports
Volume: 13
Issue: 1
Pages: 5255
Year: 2023

Paper Title: Application of machine learning in prediction of bone cement leakage during single-level thoracolumbar percutaneous vertebroplasty
Authors: Deng, G., Zhu, J., Lu, Q., Wang, Y., Zhan, X.
Journal: BMC Surgery
Volume: 23
Issue: 1
Pages: 63
Year: 2023

Paper Title: Identification of clinical heterogeneity and construction of a novel subtype predictive model in patients with ankylosing spondylitis: An unsupervised machine learning study
Authors: Sun, X., Zhou, C., Zhu, J., Zhan, X., Liu, C.
Journal: International Immunopharmacology
Volume: 117
Pages: 109879
Year: 2023

Paper Title: MEG3 alleviates ankylosing spondylitis by suppressing osteogenic differentiation of mesenchymal stem cells through regulating microRNA-125a-5p-mediated TNFAIP3
Authors: Liu, C., Liang, T., Zhang, Z., Zhan, X., Ren, L.
Journal: Apoptosis
Volume: 28
Issue: 3-4
Pages: 498–513
Year: 2023

Paper Title: MMP9 and STAT1 are biomarkers of the change in immune infiltration after anti-tuberculosis therapy, and the immune status can identify patients with spinal tuberculosis
Authors: Zhou, C., Liang, T., Jiang, J., Liu, C., Zhan, X.
Journal: International Immunopharmacology
Volume: 116
Pages: 109588
Year: 2023

Paper Title: Comprehensive AI-assisted tool for ankylosing spondylitis based on multicenter research outperforms human experts
Authors: Li, H., Tao, X., Liang, T., Zhan, X., Liu, C.
Journal: Frontiers in Public Health
Volume: 11
Pages: 1063633
Year: 2023

Paper Title: Difference between the blood samples of patients with bone and joint tuberculosis and patients with tuberculosis studied using machine learning
Authors: Ye, Z., Zhu, J., Liu, C., Wang, Y., Zhan, X.
Journal: Frontiers in Surgery
Volume: 9
Pages: 1031105
Year: 2023

Paper Title: Epidemiological characteristics of ankylosing spondylitis in Guangxi Province of China from 2014 to 2021
Authors: Sun, X., Zhou, C., Chen, L., Zhan, X., Liu, C.
Journal: Archives of Medical Science
Volume: 19
Issue: 4
Pages: 1049–1058
Year: 2023

Prof. Chong Liu | Medicine and Dentistry | Best Researcher Award

Prof. Chong Liu | Medicine and Dentistry | Best Researcher Award 🏆

professor. Chong Liu,The First Affiliated Hospital of Guangxi Medical University, China🎓

Professional Profile 

📚 Early Academic Pursuits

Chong Liu is a distinguished professor at The First Affiliated Hospital of Guangxi Medical University, specializing in Spinal and Osteopathy Surgery. He completed his Ph.D. and postdoctoral qualifications, which laid a strong foundation for his career in medicine. He began his academic journey with a focus on spinal and orthopedic research, which led him to become an Associate Chief Physician and Associate Professor. His early academic work emphasized advancing understanding and treatment methodologies in his field.

🏥 Professional Endeavors

Clinical and Research Roles

Dr. Liu has made significant contributions as a Master’s supervisor and committee member of various professional associations, including the Chinese Association of Integrative Medicine. He has led a National Natural Science Foundation project and four provincial projects, reflecting his leadership in the field. His extensive experience includes overseeing multiple research projects, such as the CT Anatomical Analysis of C4 Pedicle and Lateral Mass in Children Aged 0–14 in Southern China, and others related to osteogenic differentiation and ankylosing spondylitis.

Editorial and Review Roles

Dr. Liu serves as a reviewer for prestigious journals such as the Journal of Innate Immunity and the Journal of Investigative Surgery. His role in these journals involves evaluating manuscripts, providing feedback, and ensuring the quality of published research.

🌟 Contributions and Research Focus

Chong Liu’s research has advanced the fields of spinal surgery, pediatric orthopedics, immune diseases, and bone tuberculosis. His work has led to the development of new treatment methodologies and provided valuable insights into complex medical conditions. His research has notably improved patient outcomes and contributed to the scientific community’s understanding of spinal and osteopathy issues.

🏅 Accolades and Recognition

Dr. Liu has been recognized for his contributions to the field with various roles and responsibilities, including leading significant research projects and holding committee positions in professional associations. His work has been widely published and cited, reflecting his impact on both clinical practice and scientific research.

🌍 Impact and Influence

Dr. Liu’s extensive research and clinical work have had a profound impact on spinal surgery and orthopedics, particularly in pediatric and immune-related conditions. His contributions have not only advanced medical knowledge but also improved patient care and outcomes in these areas.

🚀 Legacy and Future Contributions

Chong Liu continues to be a leading figure in his field, with ongoing research and projects aimed at furthering the understanding and treatment of spinal and osteopathic conditions. His legacy includes a commitment to advancing medical science and improving patient care, with a focus on integrating innovative research findings into clinical practice.

📖Publications : 

Paper Title: Exploration of the combined role of immune checkpoints and immune cells in the diagnosis and treatment of ankylosing spondylitis: a preliminary study immune checkpoints in ankylosing spondylitis

Authors: Huang, F., Su, Z., Huang, Y., Liu, C., Yu, C.
Journal: Arthritis Research and Therapy
Volume: 26
Issue: 1
Pages: 115
Year: 2024

Paper Title: Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study

Authors: Feng, S., Wang, S., Liu, C., Wei, W., Zhan, X.
Journal: Scientific Reports
Volume: 14
Issue: 1
Pages: 7691
Year: 2024

Paper Title: Development and validation of a diagnostic model to differentiate spinal tuberculosis from pyogenic spondylitis by combining multiple machine learning algorithms

Authors: Huang, C., Zhuo, J., Liu, C., Chen, L., Zhan, X.
Journal: Biomolecules and Biomedicine
Volume: 24
Issue: 2
Pages: 401–410
Year: 2024

Paper Title: Age and flexors as risk factors for cervical radiculopathy A new machine learning method

Authors: Pan, S., Liu, C., Chen, J., Ye, Y., Zhan, X.
Journal: Medicine (United States)
Volume: 103
Issue: 4
Pages: E36939
Year: 2024

Paper Title: Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods

Authors: Zhang, B., Huang, S., Zhou, C., Liu, C., Zhan, X.
Journal: Computer Assisted Surgery
Volume: 29
Issue: 1
Pages: 2345066
Year: 2024

Paper Title: Exploring the causal relationship between inflammatory cytokines and inflammatory arthritis: A Mendelian randomization study

Authors: Pan, S., Wu, S., Wei, Y., Zhan, X., Liu, C.
Journal: Cytokine
Volume: 173
Pages: 156446
Year: 2024

Paper Title: Development and validation of a machine learning-based nomogram for predicting HLA-B27 expression

Authors: Zhu, J., Tan, W., Zhan, X., Chen, L., Liu, C.
Journal: BMC Immunology
Volume: 24
Issue: 1
Pages: 32
Year: 2023

Paper Title: Predictors of osteoporotic fracture in postmenopausal women: a meta-analysis

Authors: Long, G., Liu, C., Liang, T., Qin, Z., Zhan, X.
Journal: Journal of Orthopaedic Surgery and Research
Volume: 18
Issue: 1
Pages: 574
Year: 2023

Paper Title: Proteomic analysis to identification of hypoxia related markers in spinal tuberculosis: a study based on weighted gene co-expression network analysis and machine learning

Authors: Wu, S., Liang, T., Jiang, J., Zhan, X., Liu, C.
Journal: BMC Medical Genomics
Volume: 16
Issue: 1
Pages: 142
Year: 2023

Paper Title: To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery

Authors: Zhu, J., Lu, Q., Zhan, X., Wei, W., Liu, C.
Journal: Scientific Reports
Volume: 13
Issue: 1
Pages: 9816
Year: 2023

Dr. Oleg Tsuprykov | Medicine and Dentistry | Best Researcher Award

Dr. Oleg Tsuprykov | Medicine and Dentistry | Best Researcher Award🏆

Doctor. Oleg Tsuprykov, HMU Health and Medical University, Germany🎓

Professional Profile 

🩺📚 Early Academic Pursuits

Oleg Tsuprykov was born in 1982 in Ukraine. He pursued his early education in Ukraine, where he displayed a strong aptitude for the sciences. In 2005, he graduated with distinction from the State Medical Maxim Gorki University in Donetsk, earning a degree in Medicine and the qualification of a physician. His academic journey continued at the National P.-L.-Shupik Medical Academy for Postgraduate Education, where he completed his internship in clinical laboratory diagnostics in 2007.

🏆 Professional Endeavors

Early Career and Research

From August 2007 to March 2009, Tsuprykov was a fellow in the Early Stage Research Training Programme at the Center for Cardiovascular Research, Charité Campus Mitte, Berlin. Here, he worked on cardiovascular disease mechanisms under the guidance of Prof. Hocher and Prof. Kappert. In March 2009, he completed a course on laboratory animals and experiments.

Doctoral Research

In April 2009, he began his doctoral research at the Center for Cardiovascular Research, Charité Campus Mitte. His thesis focused on comparing the renal effects of DPP-4 inhibitor linagliptin with angiotensin receptor blocker telmisartan in a rat model of chronic kidney disease. His research included extensive morphological analyses and protein expression studies.

Professional Experience at DIFE

From October 2012 to April 2016, Tsuprykov continued his doctoral research at the German Institute of Human Nutrition (DIFE) in Potsdam. His work included histochemical staining methods, morphometric analyses, immunohistochemistry, immunofluorescence, Western Blot, real-time quantitative PCR, DNA methylation, and statistical data analysis. His contributions were significant, leading to several publications.

Current Role

Since May 2024, Tsuprykov has been an academic employee specializing in teaching and research at the Institute for Mind, Brain and Behavior at HMU Health and Medical University in Potsdam, Germany. His responsibilities include conducting seminars on neuroanatomy and overseeing research projects on astrocyte morphology and brain biomarkers in obese patients.

🌟 Contributions and Research Focus

Oleg Tsuprykov’s research has significantly contributed to the fields of neuroanatomy, cardiovascular disease, and clinical biomarkers. His work on the validation of novel biomarkers and the development of innovative diagnostic methods has had a profound impact on medical diagnostics and patient care.

🏅 Accolades and Recognition

Tsuprykov defended his doctoral thesis with summa cum laude in June 2017 at the Charité – Universitätsmedizin Berlin. His publications and contributions to various research projects have earned him recognition in the scientific community.

🌍 Impact and Influence

Through his research and professional endeavors, Oleg Tsuprykov has influenced the fields of neuroanatomy, laboratory medicine, and cardiovascular research. His innovative approach to diagnostics and biomarker validation has improved patient outcomes and set new standards in medical research.

🚀 Legacy and Future Contributions

Oleg Tsuprykov continues to make strides in his current role at HMU Health and Medical University. His ongoing research on astrocytes and brain biomarkers promises to further our understanding of neurological conditions and their treatments. His legacy is one of dedication to scientific excellence and a commitment to advancing medical knowledge.

📖Publications : 

Paper Title: Paternal eNOS deficiency in mice affects glucose homeostasis and liver glycogen in male offspring without inheritance of eNOS deficiency itself

Authors: Hocher, B., Lu, Y.-P., Reichetzeder, C., … Krämer, B.K., Hasan, A.A.
Journal: Diabetologia
Volume: 65
Issue: 7
Pages: 1222–1236
Year: 2022

Paper Title: Free vitamin D is independently associated with systolic blood pressure in diabetic patients with impaired kidney function

Authors: Zeng, S., Bachert, D., Pavkovic, M., … Hocher, B., Elitok, S.
Journal: Clinical Nephrology
Volume: 97
Issue: 2
Pages: 63–69
Year: 2022

Paper Title: Opposite correlation of 25-hydroxy-vitamin D- and 1,25-dihydroxy-vitamin D-metabolites with gestational age, bone- and lipid-biomarkers in pregnant women

Authors: Tsuprykov, O., Elitok, S., Buse, C., … Krämer, B.K., Hocher, B.
Journal: Scientific Reports
Volume: 11
Issue: 1
Pages: 1923
Year: 2021

Paper Title: Relationship Between Vitamin D and Hormones Important for Human Fertility in Reproductive-Aged Women

Authors: Chu, C., Tsuprykov, O., Chen, X., … Krämer, B.K., Hocher, B.
Journal: Frontiers in Endocrinology
Volume: 12
Pages: 666687
Year: 2021

Paper Title: Linagliptin and telmisartan induced effects on renal and urinary exosomal miRNA expression in rats with 5/6 nephrectomy

Authors: Delić, D., Wiech, F., Urquhart, R., … Hocher, B., Klein, T.
Journal: Scientific Reports
Volume: 10
Issue: 1
Pages: 3373
Year: 2020

Paper Title: Mechanisms of GLP-1 receptor–independent renoprotective effects of the dipeptidyl peptidase type 4 inhibitor linagliptin in GLP-1 receptor knockout mice with 5/6 nephrectomy

Authors: Hasan, A.A., von Websky, K., Reichetzeder, C., … Kleuser, B., Hocher, B.
Journal: Kidney International
Volume: 95
Issue: 6
Pages: 1373–1388
Year: 2019

Paper Title: Comparison of free and total 25-hydroxyvitamin D in normal human pregnancy

Authors: Tsuprykov, O., Buse, C., Skoblo, R., Hocher, B.
Journal: Journal of Steroid Biochemistry and Molecular Biology
Volume: 190
Pages: 29–36
Year: 2019

Paper Title: Folate treatment of pregnant rat dams abolishes metabolic effects in female offspring induced by a paternal pre-conception unhealthy diet

Authors: Li, J., Lu, Y.-P., Tsuprykov, O., … Lin, G., Hocher, B.
Journal: Diabetologia
Volume: 61
Issue: 8
Pages: 1862–1876
Year: 2018

Paper Title: Reference intervals for measured and calculated free 25-hydroxyvitamin D in normal pregnancy

Authors: Tsuprykov, O., Buse, C., Skoblo, R., Haq, A., Hocher, B.
Journal: Journal of Steroid Biochemistry and Molecular Biology
Volume: 181
Pages: 80–87
Year: 2018

Paper Title: Why should we measure free 25(OH) vitamin D?

Authors: Tsuprykov, O., Chen, X., Hocher, C.-F., … Lianghong Yin, Hocher, B.
Journal: Journal of Steroid Biochemistry and Molecular Biology
Volume: 180
Pages: 87–104
Year: 2018

Prof. Kenneth Nugent | Medicine and Dentistry | Academic Excellence Award

Prof. Kenneth Nugent | Medicine and Dentistry | Academic Excellence Award 🏆

 Professor . Kenneth Nugent . Texas tech University health Sciences Center, United States🎓

Professional Profile 

🩺Early Academic Pursuits 📚

Kenneth M. Nugent, MD, is a distinguished physician and academic in the field of Internal Medicine. His early academic journey set a strong foundation for his future contributions in medicine. Dr. Nugent’s dedication to the study of pulmonary and critical care medicine began during his formative years, leading to a deep and lasting commitment to these specialized fields.

🏥Professional Endeavors 

Dr. Nugent currently serves as a Full Professor in the Department of Internal Medicine at Texas Tech University Health Sciences Center (TTUHSC) in Lubbock. He has been instrumental in shaping the Pulmonary Medicine and Critical Care Fellowship program, where he holds the position of Director. His role encompasses a blend of teaching, clinical service, and academic leadership.

Before joining TTUHSC, Dr. Nugent accumulated extensive experience as a researcher, where his work focused on advancing the field of pulmonary medicine. His clinical and academic expertise has greatly contributed to the development of new protocols and practices in the management of pulmonary and critical care patients.

🔬Contributions and Research Focus

Dr. Nugent’s research interests are centered around pulmonary and critical care medicine, with a focus on improving patient outcomes through innovative clinical practices and evidence-based research. His contributions have been pivotal in advancing the understanding and treatment of complex pulmonary conditions. His research has been recognized for its impact on clinical practices and patient care strategies.

🏅Accolades and Recognition 

Dr. Nugent’s excellence in his field has been acknowledged through numerous honors and awards. In January 2023, he was elected to the Alpha Omega Alpha Honor Society, a prestigious national medical honor society recognizing commitment to professionalism, leadership, scholarship, research, and community service. Additionally, he was listed in the Top 2% by a Stanford University Study for References with the Most Citations for 2020, highlighting his significant influence and contribution to medical research.

🌟Impact and Influence

Dr. Nugent’s impact extends beyond his immediate academic and clinical roles. His mentorship and leadership have shaped the careers of numerous medical professionals. His innovative approaches and dedication to patient care have influenced practices within his department and the broader medical community.

🌐Legacy and Future Contributions 

As Dr. Nugent continues his career, his focus remains on advancing the field of pulmonary and critical care medicine through research, teaching, and clinical practice. His legacy is marked by his commitment to improving patient care, mentoring future medical leaders, and contributing to the ongoing development of medical knowledge and practice.

📖Publications :