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Research hotspots and visualization analysis of the pharmacological effects of paeonol based on CiteSpace

Published on Sep. 27, 2025Total Views: 42 times Total Downloads: 6 times Download Mobile

Author: WANG Mingnan TANG Pengxiang GONG Jingli

Affiliation: College of Pharmacy, Jilin Medical University, Jilin 132013, Jilin Province, China

Keywords: Paeonol Citespace Visualization analysis Pharmacological effects Oxidative stress Molecular docking

DOI: 10.12173/j.issn.2097-4922.202505072

Reference: WANG Mingnan, TANG Pengxiang, GONG Jingli. Research hotspots and visualization analysis of the pharmacological effects of paeonol based on CiteSpace[J]. Yaoxue QianYan Zazhi, 2025, 29(9): 1561-1567. DOI: 10.12173/j.issn.2097-4922.202505072.[Article in Chinese]

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Abstract

Objective  To clarify the research trends, core research teams, and hot research topics of paeonol’s pharmacological effects, and provide references for further research and industrial application of Paeonol.

Methods  The Citespace 6.4.1 bibliometric analysis tool was used to systematically analyze the paeonol’s pharmacological effects related literature in the China National Knowledge Infrastructure (CNKI), Wanfang Data, PubMed, and Web of Science (WOS) databases from 1999 to 2025.

Results  A total of 751 valid studies related to paeonol were retrieved from 4 databases, including 337 Chinese literature and 414 English literature. The number of research articles showed a continuous growth trend from 1999 to 2025. From 1999 to 2002, there were fewer than 10 papers published each year on paeonol; from 2010 to 2016, the number of publications showed a declining trend, followed by a rebound. Since 2013, the number of English publications had exceeded that of Chinese publications and this trend has continued. The author with the most publications was Wang Y (22 papers), and the institution with the highest number of publications was Anhui Medical University (13 papers), with Chinese authors having the highest total (125 papers). The most frequent Chinese and English keywords were paeonol (71) and traditional Chinese medicine (22) respectively; the top clustering module was "paeonol"; in the early stages of paeonol research, the emergent term was "high-performance liquid chromatography", while topics such as network pharmacology, oxidative stress, and molecular docking have become hot keywords since 2020.

Conclusion  The anti-inflammatory, anti-tumor, and antioxidant activities of paeonol have been widely studied, and it has broad application prospects.

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References

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