广西医学

目的基于CiteSpace和VOSviewer软件探讨中医药治疗肾纤维化（RF）的研究现状、热点和趋势。方法检索2004—2024年中国知网和Web of Science数据库中收录的中医药治疗RF相关中英文文献，采用CiteSpace及VOSviewer软件对纳入文献的年度发文量、发文期刊、发文作者、发文机构、关键词等进行可视化分析。结果共纳入中文文献703篇，英文文献437篇。2004—2024年，中医药治疗RF相关文献的年度发文量总体呈增长趋势。中文、英文文献发文量最多的作者分别是何立群和Liu Xinhui，发文量最多的机构分别是上海中医药大学附属曙光医院和上海中医药大学，刊载量最多的期刊分别是《中国中西医结合肾病杂志》和Frontiers in Pharmacology。出现频次较高的关键词为慢性肾衰竭、糖尿病肾病、信号通路、中药复方等。研究热点主要集中于中药药物、机制研究、研究方法等。结论中医药治疗RF的发文量总体呈波动上升趋势，国内研究已形成了核心作者群，但国际合作网络相对松散，需要加强国际交流合作。当前研究热点主要集中在中药药物、机制研究、研究方法等方面。以实验研究联合生物信息学技术、多组学技术等方式探索中医药治疗RF的有效成分及作用机制是未来的研究趋势。

Objective To investigate the current research status, hotspots, and trends in Traditional Chinese Medicine for the treatment of renal fibrosis (RF) based on CiteSpace and VOSviewer software. Methods Chinese and English literature related to Traditional Chinese Medicine for treating RF published between 2004 and 2024 was retrieved from the China National Knowledge Infrastructure and Web of Science databases. CiteSpace and VOSviewer software were used to perform a visual analysis of the annual publication volume, publishing journals, authors, institutions, and keywords of the included literature. Results A total of 703 Chinese and 437 English literature was included. From 2004 to 2024, the annual publication volume of literature related to Traditional Chinese Medicine for treating RF exhibited an overall increasing trend. The author with the highest number of publications in both Chinese and English literature were He Liqun and Liu Xinhui, respectively. The institutions with the highest publication output were Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine and Shanghai University of Traditional Chinese Medicine. The journals with the highest publication volume were Chinese Journal of Integrated Traditional and Western Nephrology and Frontiers in Pharmacology. High-frequency keywords included chronic renal failure, diabetic nephropathy, signaling pathway, and Traditional Chinese Medicine compound formulas. Research hotspots primarily focused on Traditional Chinese Medicine drugs, mechanistic studies, and research methods. Conclusion Research on Traditional Chinese Medicine for treating RF reveals an overall fluctuating upward trend. Domestically, a core group of authors has formed, while the international collaboration network remains relatively loose, highlighting the need for strengthened international exchanges and cooperation. Current research hotspots mainly focus on Traditional Chinese Medicines, mechanistic studies, and research methods, etc. Exploring the effective components and mechanisms of Traditional Chinese Medicine for treating RF through experimental studies combined with bioinformatics and multi-omics technologies represents a future research trend.