SYSTEMATIC REVIEW article
Front. Oncol.
Sec. Cancer Metabolism
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1537805
Uncovering the Research Evolution and Hotspots of Metabolism in Renal Cell Carcinoma Over the Last Decade
Provisionally accepted- 1Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, Shanghai Municipality, China
- 2Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, China
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The vital role metabolism plays in RCC, a global disease with huge disease burden, has been widely acknowledged. However, bibliometric analysis remains underexplored in the context of metabolism in RCC. Methods: The Web of Science database was adopted to obtain relevant publications for further bibliometric analysis of countries, institutions, authors, journals, publications, references and keywords. Literature reading and keyword co-occurrence analysis were employed to figure out major points and hotspots in this field. The analysis was conducted by biblioshiny based on Bibliometrix package in R version 4.3.2. Results: From 15 May 2015 to 15 May 2025, 3010 relevant publications were retrieved. China was the most productive country and USA was the country with the highest total citations. The most productive institution was "Harvard University". WANG Y published 46 publications with an H-index of 16. Core journals were identified with Bradford's law. Additionally, three major points and hotspots were identified and discussed through bibliometric analysis and targeted literature reading. Conclusion: Our research provided a reference for future basic and clinical research through summarizing past research findings, analyzing current research hotspots, and prospecting the future development of research. "Metabolic alterations in RCC", "Metabolic syndrome and RCC", "Microbiome and RCC" were major points and hot spots in this field. In the future, a broader metabolic map could be made and more researches concerning metabolism during RCC treatment and drug resistance might bring more clinical significance.
Keywords: rcc, bibliometric analysis, Metabolism, metabolic syndrome, microbiome, metabolic reprogramming
Received: 06 Jan 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Liu, He, Lyu, Yang, Zhang, Tu, Yao, Wei, Li, Zhao, Huang, Lu and Pan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiuwu Pan, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, Shanghai Municipality, China
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