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Visualization analysis of application of mass spectrometry imaging technology in field of traditional Chinese medicine research based on CiteSpace knowledge graph
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WU Cui, YU Caiyuan, FENG Li, WANG Yaya, QIAO Dong, ZHAO Yifan
Chinese Traditional and Herbal Drugs | 2026, 57(18) : 7376 - 7387
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Chinese Traditional and Herbal Drugs | 2026, 57(18): 7376-7387
Visualization analysis of application of mass spectrometry imaging technology in field of traditional Chinese medicine research based on CiteSpace knowledge graph
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WU Cui, YU Caiyuan, FENG Li, WANG Yaya, QIAO Dong, ZHAO Yifan
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doi: 10.7501/j.issn.0253-2670.2026.18.024
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Objective To analyze the current application status and hotspots of mass spectrometry imaging (MSI) in traditional Chinese medicine (TCM) research, and use knowledge graphs to display the research process in this field, providing reference for in-depth research and application. Methods Relevant Chinese and English literature from China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wanfang), VIP Data Knowledge Service Platform (VIP) and Web of Science (WOS) databases were retrieved. Literature was screened by NoteExpress literature management software. The CiteSpace software was used to draw a knowledge graph of publishing volume, publishing institutions, authors, keywords, etc. Results A total of 124 Chinese literature and 306 English literature were included. The quantities of related publications significantly increased since the 2021. The Chinese Traditional and Herbal Drugs and Chinese Journal of Chinese Materia Medica are the journals with the highest quantities of publications in Chinese. Journal of Ethnopharmacology is the journal with the highest quantities of publications in English. Sun Bo’s team and Cai Zongwei’s team were the teams with the highest quantities of publications in Chinese and English, respectively. The China Academy of Chinese Medical Sciences and Chinese Academy of Science were the research institutions with the highest quantities of publications in Chinese and English, respectively. Research in Chinese-language literature focused primarily on metabolomics, chemical composition, and tissue distribution, whereas English literature research emphasized component identification, metabolites, and biosynthesis. The main research focus of Chinese and English literature research is the same, both involving the characterization and spatial distribution of chemical components, biosynthesis, and metabolic pathways. Conclusion At present, MSI has been widely used in TCM research, primarily covering the characterization and spatial localization of chemical component, quality evaluation of TCM, biosynthesis of active components, in vivo metabolism and distribution, and elucidation of the TCM mechanism of action. Future research should focus on the following aspects: improvement of MSI-related databases, quantitative MSI technology optimization, the integration of MSI with other analytical technologies, clinical research and application promotion of TCM, the development and application of three-dimensional and in vivo MSI.
mass spectrometry imaging  /  CiteSpace  /  knowledge graph  /  spatial distribution  /  component characterization  /  biosynthesis
吴翠, 于彩媛, 冯利, 王亚亚, 乔栋, 赵一帆. 基于CiteSpace知识图谱的质谱成像技术在中药研究领域应用的可视化分析. 中草药, 2026 , 57 (18) : 7376 -7387 . DOI: 10.7501/j.issn.0253-2670.2026.18.024
WU Cui, YU Caiyuan, FENG Li, WANG Yaya, QIAO Dong, ZHAO Yifan. Visualization analysis of application of mass spectrometry imaging technology in field of traditional Chinese medicine research based on CiteSpace knowledge graph[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (18) : 7376 -7387 . DOI: 10.7501/j.issn.0253-2670.2026.18.024
Year 2026 volume 57 Issue 18
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doi: 10.7501/j.issn.0253-2670.2026.18.024
  • Receive Date:2026-01-03
  • Online Date:2026-10-29
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  • Received:2026-01-03
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表12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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