Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (10): 156-164.doi: 10.11924/j.issn.1000-6850.casb2022-0623

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Tinospora: Research Tendency Based on CNKI

FANG Yu1,2(), WANG Shibao1,2(), YANG Jie1, ZHANG Hui1,2, HE Zhipeng3, ZHANG Na1, WU Peng1, ZHU Zhikai1   

  1. 1 School of Pharmacy, Hanzhong Vocational and Technical College, Hanzhong, Shaanxi 723000
    2 Institute of Pharmaceutical (Edible) Botany, Qinba Mountains, Hanzhong, Shaanxi 723000
    3 Medical College, Shaanxi Institute of International Trade & Commerce, Xi’an 712046
  • Received:2022-07-28 Revised:2023-02-06 Online:2023-04-05 Published:2023-03-27

Abstract:

This paper explored the research hotspots and future directions of Tinospora by bibliometric analysis based on China National Knowledge Internet (CNKI). Relevant research literature of Tinospora was combed by bibliometrics, the selected literature was visually analyzed by VOSviewer software, and the data of annual published papers, research institutions, subjects and disciplines, publishing periodicals, fund support and so on were compared. The research on Tinospora mainly involves chemical constituents, biological activity and clinical application. The research institutions are mainly concentrated in higher educational institutions and scientific research institutions. At present, foreign research on Tinospora focuses on basic research, resulting in a lot of high-level papers, while domestic research focuses on the germplasm resources, planting technology, extraction process, processing, pharmacological effects, clinical application, quality control and evaluation of Tinospora, and the research scope is more extensive. With the deepening of the research, more new components will be found from plants of Tinospora based on plant phylogeny and chemical component specificity in the future. Therefore, new drugs related to Tinospora will be applied to the market.

Key words: Tinospora, China National Knowledge Internet (CNKI), bibliometrics, VOSviewer, visualization analysis