Journal of traditional chinese medicine

416 papers and 929 indexed citations i.

About

The 416 papers published in Journal of traditional chinese medicine in the last decades have received a total of 929 indexed citations. Papers published in Journal of traditional chinese medicine usually cover Complementary and alternative medicine (246 papers), Pharmacology (101 papers) and Pharmacology (66 papers) specifically the topics of Traditional Chinese Medicine Studies (157 papers), Healthcare and Venom Research (89 papers) and Medical Research and Treatments (78 papers). The most active scholars publishing in Journal of traditional chinese medicine are Li Gq, Ronghua Jin, Yongyan Wang, Shi Du Yan, Zhang Li, Junwen Wang, Zhimin Zhao, Hassan Barakat, Yuling Zheng and Zhiqiang Meng.

In The Last Decade

Fields of papers published in Journal of traditional chinese medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of traditional chinese medicine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of traditional chinese medicine.

Countries where authors publish in Journal of traditional chinese medicine

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of traditional chinese medicine. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of traditional chinese medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of traditional chinese medicine more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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