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Journal of Tea Science ›› 2022, Vol. 42 ›› Issue (3): 423-434.doi: 10.13305/j.cnki.jts.20220416.002

• Research Paper • Previous Articles     Next Articles

Econometric Analyses of EGCG Research Literature

ZHANG Yini1,2,3, JI Zheng1,2,3,*   

  1. 1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China;
    2. National Experimental Teaching Demonstration Center of Geography, Shaanxi Normal University, Xi'an 710119, China;
    3. Provincial Experimental Teaching Demonstration Center of Environmental Science Major, Shaanxi Normal University, Xi'an 710119, China
  • Received:2021-10-19 Revised:2021-11-23 Online:2022-06-15 Published:2022-06-17

Abstract: The epigallocatechin gallate (EGCG) has shown the highest biological activity in tea components in most studies, which has shown beneficial effects on anti-cancer, bacterial and viral infections. A review of the advances and hot spots of EGCG studies were summarized through citation analysis. In order to ensure that the review is objective and scientific, literature analysis was performed from the core collection of the data base of ISI Web of Science of the period of 2000-2021 with the key words “EGCG” and “Epigallocatechin gallate”. A total of 6 799 relevant papers were obtained. Then, the CiteSpace visualization software was used for citation analysis and the research hotspots and frontier trends were studied through network analysis including cooperation, co-occurrence and co-citation. Statistical analysis of volume of the publications shows that China, United States and Japan ranked the top three in this field. Analysis of betweenness central indicators shows that United States, Germany and China were the top three in terms of importance. Further citation analysis shows that “nanoparticle”, and “stability” were the hotspots in the recent years. With the deepening of the research on EGCG, it was speculated that the future research would focus on improving the bioavailability of EGCG and exploring the optimal dose level and administration frequency.

Key words: EGCG, CiteSpace, visual analysis, network

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