A Visual Analysis of Network Pharmacology Research Trends
  
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DOI:10.4103/wjtcm.wjtcm_21_18
KeyWord:Bibliometrics, network pharmacology, visual analysis
                          
AuthorInstitution
Shen Xiaoa a.School of Medical Devices, Shenyang Pharmaceutical University, Shenyang, China
Fang-Qing Zhaob b.School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Qi-Ming Wangb b.School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Yun-Ru Dongb b.School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Shein-Chung Chowc c.Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, DUMC Box 2721, 2424 Erwin Road, Hock Suite 1102, Room 11068, Durham, NC 27710, USA
Meng-Zhen Fanb b.School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Bo Xingb b.School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
Fei Zhaia a.School of Medical Devices, Shenyang Pharmaceutical University, Shenyang, China
Rong-Wu Xianga a.School of Medical Devices, Shenyang Pharmaceutical University, Shenyang, China
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Abstract:
      Objective: To understand the current situation of network pharmacology, and to analyze external and internal characteristics of literature, is of great significance for the development of network pharmacology in the future and its application in the modernization of Chinese medicine. Methods: Bibliometrics were adapted to perform visual analysis on the research status of network pharmacology with Citespace and SPSS for windows 22.0 version (IBM, Armonk, New York, USA). Knowledge map was used to analyze the knowledge system in the field, to identify the research hotspots and dynamic frontiers, and to elaborate the research status and development trend of domestic network pharmacology. Results: The research on network pharmacology in China is at the stage of the formation and construction of basic theories. At present, we focuses on the solution of actual disease problems and basic theoretical research, while the application in the research field of traditional Chinese medicine is a new hot spot and trend in the future development. Conclusions: It is important to pay attention to the connection and communication among the knowledge groups, so that a systematic knowledge system can be formed in the field of network pharmacology in domestic as soon as possible.
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