Article(id=1304388174931845574, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304388135723496407, articleNumber=null, orderNo=null, doi=10.7501/j.issn.0253-2670.2026.13.019, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1765382400000, receivedDateStr=2025-12-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1788919975264, onlineDateStr=2026-09-09, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1788919975264, onlineIssueDateStr=2026-09-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1788919975264, creator=13701087609, updateTime=1788919975264, updator=13701087609, issue=Issue{id=1304388135723496407, tenantId=1146029695717560320, journalId=1302319053441957962, year='2026', volume='57', issue='13', pageStart='4949', pageEnd='5352', issueExtLink='null', onlineDate='null', pubDate='1783785600000', pubDateStr='2026-07-12', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1788919965916, creator='13701087609', updateTime=1788923489765, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1304402915871977875, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304388135723496407, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1304402915871977876, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304388135723496407, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5164, endPage=5182, ext={EN=ArticleExt(id=1304388175271584200, articleId=1304388174931845574, tenantId=1146029695717560320, journalId=1302319053441957962, language=EN, title=Visualization analysis of research trends and hotspots on traditional Chinese medicine in prevention and treatment of knee osteoarthritis based on CiteSpace and VOSviewer, columnId=null, journalTitle=Chinese Traditional and Herbal Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=Objective To conduct a bibliometric analysis of Chinese and English literature on the prevention and treatment of knee osteoarthritis (KOA) by traditional Chinese medicine (TCM) from 1995 to 2025, and visualize its research status, development context, cooperation network, hot topics and frontier trends. Methods Relevant Chinese literature from January 1995 to December 2025 were retrieved from CNKI, Wanfang and VIP, and relevant English literatures from January 1998 to December 2025 were retrieved from Web of Science (WOS). CiteSpace and VOSviewer software were used to visually analyze the trend of publication, countries, institutions, authors, keywords, etc., and draw a knowledge map. Results A total of 6 093 literature were included, including 5 242 Chinese literature and 851 English literature. The overall number of publications showed a fluctuating upward trend, and Chinese research output and cooperation in this field were dominant. The core research institutions are represented by Guangzhou University of Chinese Medicine, Fujian University of Traditional Chinese Medicine and Beijing University of Chinese Medicine. Keyword analysis showed that the current research hotspots focused on traditional therapies such as clinical efficacy, mechanism of action, traditional Chinese medicine compound, acupuncture and massage. Emergent words and cluster analysis showed that the frontier trend was turning to the mechanism exploration and application research of interdisciplinary and new drug delivery systems such as network pharmacology, metabolomics, programmed cell death, intestinal flora-articular axis, self-assembled nanocarriers and metal-organic frameworks. Conclusion Research on TCM for KOA prevention and treatment has entered a phase of rapid development and deep integration. While continuing to validate clinical efficacy, it is increasingly converging with modern technologies, shifting the research paradigm toward systems biology, precision medicine, and intelligent drug delivery. Through the integration of multi-omics, molecular subtyping, and the development of innovative formulations, TCM holds promise for playing a more pivotal role in the prevention, early intervention, and disease-modifying treatment of KOA., authors=MEI Jiahua, CHEN Hao, SHANG Xiaole, CUI Xinrong, YANG Ruiping, YAN Jingmeng, ZHANG Shenghao, MA Yunshu, authorsList=MEI Jiahua, CHEN Hao, SHANG Xiaole, CUI Xinrong, YANG Ruiping, YAN Jingmeng, ZHANG Shenghao, MA Yunshu, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1304388175154143687, articleId=1304388174931845574, tenantId=1146029695717560320, journalId=1302319053441957962, language=CN, title=基于CiteSpace和VOSviewer的中医药防治膝骨关节炎研究趋势与热点的可视化分析, columnId=1304140194819629763, journalTitle=中草药, columnName=数据挖掘与循证医学, runingTitle=null, highlight=null, articleAbstract=目的 对1995—2025年中医药防治膝骨关节炎(knee osteoarthritis,KOA)的中英文文献进行计量学分析,可视化呈现其研究现状、发展脉络、合作网络、热点主题及前沿趋势。方法 以中国知网(CNKI)万方(Wanfang)和维普(VIP)为数据源,检索1995年1月—2025年12月相关中文文献;以Web of Science(WOS)为数据源,检索1998年1月—2025年12月相关英文文献,运用CiteSpace与VOSviewer软件对发文趋势、国家、机构、作者、关键词等进行可视化分析,并绘制知识图谱。结果 共纳入6 093篇文献,其中中文文献5 242篇,英文文献851篇。总体发文量呈波动上升趋势,中国在该领域的研究产出与合作均占据主导地位。核心研究机构以广州中医药大学、福建中医药大学、北京中医药大学等为代表。关键词分析显示,当前研究热点集中于临床疗效、作用机制、中药复方、针灸推拿等传统疗法。突现词与聚类分析表明,前沿趋势正转向网络药理学、代谢组学、程序性细胞死亡、肠道菌群-关节轴、自组装纳米载体及金属有机框架等交叉学科与新型递药系统的机制探索与应用研究。结论 中医药防治KOA研究已进入快速发展与深度整合阶段,在坚持临床疗效验证的同时,日益与现代科技深度融合,研究向系统生物学、精准医学和智能递药转变。未来有望通过多组学整合、分子分型及创新剂型研发,在KOA的预防、早期干预与疾病修饰治疗中发挥更关键的作用。, authors=梅佳华1 , 陈浩1 , 商小乐1 , 崔欣蓉1 , 杨蕊萍1 , 严婧萌1 , 张胜豪1 , 马云淑1,2 , authorsList=梅佳华, 陈浩, 商小乐, 崔欣蓉, 杨蕊萍, 严婧萌, 张胜豪, 马云淑, authorCompany=1 云南中医药大学, 云南昆明 650500; 2 云南省高校外用给药系统与制剂技术研究重点实验室, 云南省傣医药与彝医药重点实验室, 云南省药食同源饮片工程中心, 云南昆明 650500, correspAuthors=马云淑, authorNote=梅佳华: 梅佳华,男,博士研究生,主要从事中药新制剂及新产品开发研究。E-mail:Highwaydo@163.com
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provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/zcy/CN/10.7501/j.issn.0253-2670.2026.13.019, detailUrlEn=https://castjournals.cast.org.cn/joweb/zcy/EN/10.7501/j.issn.0253-2670.2026.13.019, pdfUrlCn=https://castjournals.cast.org.cn/joweb/zcy/CN/PDF/10.7501/j.issn.0253-2670.2026.13.019, pdfUrlEn=https://castjournals.cast.org.cn/joweb/zcy/EN/PDF/10.7501/j.issn.0253-2670.2026.13.019, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1788919975264, fullTextJson=null, articleText=null, reference=于利凯, 苏子珊, 刘尚齐, 等. 基于机械应力介导的PINK1/Parkin途径探讨汉黄芩素改善膝骨关节炎软骨损伤的作用机制 [J]. 中草药, 2025, 56(22): 8188-8200. 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中草药
|数据挖掘与循证医学
2026
, 57
(13) :
5164
-5182
基于CiteSpace和VOSviewer的中医药防治膝骨关节炎研究趋势与热点的可视化分析
全屏
梅佳华1 , 陈浩1 , 商小乐1 , 崔欣蓉1 , 杨蕊萍1 , 严婧萌1 , 张胜豪1 , 马云淑1,2
作者信息
1 云南中医药大学, 云南昆明 650500; 2 云南省高校外用给药系统与制剂技术研究重点实验室, 云南省傣医药与彝医药重点实验室, 云南省药食同源饮片工程中心, 云南昆明 650500
通讯作者:
马云淑
作者简介:
梅佳华: 梅佳华,男,博士研究生,主要从事中药新制剂及新产品开发研究。E-mail:Highwaydo@163.com
陈浩: 陈浩,男,本科生,主要从事中药学研究。E-mail:2410222634@qq.com
Visualization analysis of research trends and hotspots on traditional Chinese medicine in prevention and treatment of knee osteoarthritis based on CiteSpace and VOSviewer
MEI Jiahua, CHEN Hao, SHANG Xiaole, CUI Xinrong, YANG Ruiping, YAN Jingmeng, ZHANG Shenghao, MA Yunshu
Affiliations
doi: 10.7501/j.issn.0253-2670.2026.13.019
文章导航
目的 对1995—2025年中医药防治膝骨关节炎(knee osteoarthritis,KOA)的中英文文献进行计量学分析,可视化呈现其研究现状、发展脉络、合作网络、热点主题及前沿趋势。方法 以中国知网(CNKI)万方(Wanfang)和维普(VIP)为数据源,检索1995年1月—2025年12月相关中文文献;以Web of Science(WOS)为数据源,检索1998年1月—2025年12月相关英文文献,运用CiteSpace与VOSviewer软件对发文趋势、国家、机构、作者、关键词等进行可视化分析,并绘制知识图谱。结果 共纳入6 093篇文献,其中中文文献5 242篇,英文文献851篇。总体发文量呈波动上升趋势,中国在该领域的研究产出与合作均占据主导地位。核心研究机构以广州中医药大学、福建中医药大学、北京中医药大学等为代表。关键词分析显示,当前研究热点集中于临床疗效、作用机制、中药复方、针灸推拿等传统疗法。突现词与聚类分析表明,前沿趋势正转向网络药理学、代谢组学、程序性细胞死亡、肠道菌群-关节轴、自组装纳米载体及金属有机框架等交叉学科与新型递药系统的机制探索与应用研究。结论 中医药防治KOA研究已进入快速发展与深度整合阶段,在坚持临床疗效验证的同时,日益与现代科技深度融合,研究向系统生物学、精准医学和智能递药转变。未来有望通过多组学整合、分子分型及创新剂型研发,在KOA的预防、早期干预与疾病修饰治疗中发挥更关键的作用。
膝骨关节炎
/
中医药
/
CiteSpace
/
VOSviewer
/
文献计量学
/
可视化分析
Objective To conduct a bibliometric analysis of Chinese and English literature on the prevention and treatment of knee osteoarthritis (KOA) by traditional Chinese medicine (TCM) from 1995 to 2025, and visualize its research status, development context, cooperation network, hot topics and frontier trends. Methods Relevant Chinese literature from January 1995 to December 2025 were retrieved from CNKI, Wanfang and VIP, and relevant English literatures from January 1998 to December 2025 were retrieved from Web of Science (WOS). CiteSpace and VOSviewer software were used to visually analyze the trend of publication, countries, institutions, authors, keywords, etc., and draw a knowledge map. Results A total of 6 093 literature were included, including 5 242 Chinese literature and 851 English literature. The overall number of publications showed a fluctuating upward trend, and Chinese research output and cooperation in this field were dominant. The core research institutions are represented by Guangzhou University of Chinese Medicine, Fujian University of Traditional Chinese Medicine and Beijing University of Chinese Medicine. Keyword analysis showed that the current research hotspots focused on traditional therapies such as clinical efficacy, mechanism of action, traditional Chinese medicine compound, acupuncture and massage. Emergent words and cluster analysis showed that the frontier trend was turning to the mechanism exploration and application research of interdisciplinary and new drug delivery systems such as network pharmacology, metabolomics, programmed cell death, intestinal flora-articular axis, self-assembled nanocarriers and metal-organic frameworks. Conclusion Research on TCM for KOA prevention and treatment has entered a phase of rapid development and deep integration. While continuing to validate clinical efficacy, it is increasingly converging with modern technologies, shifting the research paradigm toward systems biology, precision medicine, and intelligent drug delivery. Through the integration of multi-omics, molecular subtyping, and the development of innovative formulations, TCM holds promise for playing a more pivotal role in the prevention, early intervention, and disease-modifying treatment of KOA.
kee osteoarthritis
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taditional Chinese medicine
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CiteSpace
/
VOSviewer
/
bibliometrics
/
visualization analysis
梅佳华, 陈浩, 商小乐, 崔欣蓉, 杨蕊萍, 严婧萌, 张胜豪, 马云淑.
基于CiteSpace和VOSviewer的中医药防治膝骨关节炎研究趋势与热点的可视化分析.
中草药,
2026
, 57
(13)
: 5164
-5182
.
DOI: 10.7501/j.issn.0253-2670.2026.13.019
MEI Jiahua, CHEN Hao, SHANG Xiaole, CUI Xinrong, YANG Ruiping, YAN Jingmeng, ZHANG Shenghao, MA Yunshu.
Visualization analysis of research trends and hotspots on traditional Chinese medicine in prevention and treatment of knee osteoarthritis based on CiteSpace and VOSviewer[J].
Chinese Traditional and Herbal Drugs ,
2026
, 57
(13)
: 5164
-5182
.
DOI: 10.7501/j.issn.0253-2670.2026.13.019
云南省科技厅社会发展专项-重点研发计划项目 (202303AC100025); 云南省孔令义专家工作站 (202605AF350055); 国家自然科学基金资助项目 (82174065); 云南省科技厅基础研究计划面上项目 (202501AT070337)
参考文献
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2026年第57卷第13期
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doi: 10.7501/j.issn.0253-2670.2026.13.019
接收时间:2025-12-11
首发时间:2026-09-09
https://castjournals.cast.org.cn/joweb/zcy/CN/10.7501/j.issn.0253-2670.2026.13.019
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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