Academic Brilliance Award
Guangxi Shi
Affiliated Hospital of Shandong University of Traditional Chinese Medicine,China
Guangxi Shi is a researcher affiliated with the Affiliated Hospital of Shandong University of Traditional Chinese Medicine in China. The supplied research profile identifies Health Professions as the principal subject area . Recent publications attributed to Guangxi Shi and co-authors address breast cancer organoid models, traditional Chinese medicine, natural compounds, and the relationship between gut microbiota and breast cancer. These topics connect biomedical research with evidence synthesis and the investigation of potential approaches to understanding complex diseases. The Academic Brilliance Award profile presents these research activities in the context of scholarly recognition through the International Academic Excellence Awards. [1] [2]
Abstract
This article presents the academic profile of Guangxi Shi, whose reported research interests include biomedical topics related to breast cancer, traditional Chinese medicine, natural compounds, and gut microbiota. Two identified publications from 2026 examine organoid models and bibliometric trends in breast cancer research. These works illustrate complementary approaches: exploring experimental disease models and mapping the development of a research field. The supplied bibliometric figures provide an overview of reported scholarly output, while the publications offer identifiable evidence of research activity. This profile is intended to support an academic recognition assessment rather than constitute an independent verification of every bibliometric indicator. [1] [2]
Keywords
Guangxi Shi; Academic Brilliance Award; biomedical research; breast cancer; traditional Chinese medicine; natural compounds; breast cancer organoids; gut microbiota; bibliometric analysis; Health Professions; research recognition.
Introduction
Biomedical research increasingly combines experimental models, clinical perspectives, and analytical reviews to investigate complex diseases. Breast cancer research, for example, encompasses disease modelling, biological mechanisms, therapeutic discovery, and the study of microbial associations. Reviews and bibliometric analyses can help researchers identify emerging questions, evaluate publication trends, and understand how knowledge develops across disciplines. Shi’s listed 2026 publications fall within this broader research landscape. [1] [2]
Research Profile
The supplied profile associates Shi with the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, China. The reported Scopus identifier is 56507838400. The supplied indicators are 24 documents, 160 citations, and an h-index of 7. These values should be interpreted in relation to the database, profile version, and date on which they were retrieved, because bibliometric indicators can change over time. The available information does not include a verified ORCID identifier or a complete record of research grants, patents, editorial service, and other professional activities.
Research Contributions
The identified publications suggest two complementary contributions to breast cancer scholarship. The first reviews the application and prospects of breast cancer organoid models in research involving traditional Chinese medicine and natural compounds. Organoid systems can provide experimental models for investigating aspects of tumour biology and evaluating research hypotheses, although findings require appropriate validation before clinical application. [1]
The second publication examines gut microbiota research in breast cancer between 2005 and 2024 through bibliometric and visual analysis. Such methods can help map research growth, collaboration patterns, and prominent themes. Bibliometric findings describe patterns in the literature and should not, by themselves, be interpreted as proof of a causal relationship between microbiota and cancer. [2]
Publications
- Liang, H., Sun, X., Shi, G., Chen, H., & Li, J. (2026). Application and prospect of breast cancer organoids model in the field of traditional Chinese medicine and natural compounds. Journal of Translational Medicine. https://doi.org/10.1186/s12967-026-08018-z. [1]
- Liang, H., Sun, X., Shi, G., Chen, H., & Li, J. (2026). The trends and hotspots of gut microbiota for breast cancer from 2005 to 2024: A bibliometric and visual analysis. Medicine. PubMed record. [2]
The citations above preserve the author names and publication details supplied for this profile. Readers should consult the publisher and PubMed records for final bibliographic metadata, article identifiers, and any additional publication information.
Research Impact
The reported 160 citations and h-index of 7 provide quantitative indicators of scholarly visibility, subject to confirmation against the live Scopus record. The two identified articles also demonstrate engagement with experimental-model literature and research-mapping methods. Citation totals alone do not establish clinical impact, methodological quality, or independent originality; a balanced evaluation should consider study design, reproducibility, contribution to the field, and subsequent use by other researchers.
Award Suitability
Shi’s documented publication topics and supplied bibliometric indicators may be considered as part of a nomination for the Academic Brilliance Award within the International Academic Excellence Awards. A fair assessment should examine the researcher’s specific contribution to each publication, the quality and relevance of the work, verified scholarly metrics, and evidence of wider research influence. The information presented here provides a preliminary profile, not confirmation of an award decision or an independently verified assessment outcome.
Conclusion
Guangxi Shi’s available research record highlights work relating to breast cancer organoid models, traditional Chinese medicine, natural compounds, and gut microbiota literature. Together, these topics reflect the use of complementary approaches to biomedical investigation. The supplied bibliometric figures and identified publications offer a starting point for scholarly recognition, with final evaluation dependent on verification of the author profile, publication contributions, and supporting evidence.
External Links
References
- Liang, H., Sun, X., Shi, G., Chen, H., & Li, J. (2026). Application and prospect of breast cancer organoids model in the field of traditional Chinese medicine and natural compounds. Journal of Translational Medicine. Springer Nature. https://doi.org/10.1186/s12967-026-08018-z.
- Liang, H., Sun, X., Shi, G., Chen, H., & Li, J. (2026). The trends and hotspots of gut microbiota for breast cancer from 2005 to 2024: A bibliometric and visual analysis. Medicine. PubMed indexed record. https://pubmed.ncbi.nlm.nih.gov/41995493/.
- Elsevier. (n.d.). Scopus author details: Guangxi Shi, Author ID 56507838400. Scopus. https://www.scopus.com/authid/detail.uri?authorId=56507838400. Accessed for profile identification; bibliometric figures in this article were supplied by the requester and should be checked against the live record.
- International Academic Excellence Awards. (n.d.). Official award website. https://academicexcellenceawards.com/.