Countries where authors publish in World Journal of Traditional Chinese Medicine
Since Specialization
Citations
This map shows the geographic impact of research published in World 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 World 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 World Journal of Traditional Chinese Medicine more than expected).
Fields of papers published in World Journal of Traditional Chinese Medicine
This network shows the impact of papers published in World 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 World Journal of Traditional Chinese Medicine.
About World Journal of Traditional Chinese Medicine
The 420 papers published in World Journal of Traditional Chinese Medicine in the last decades have received a total of 2.3k indexed citations . Papers published in World Journal of Traditional Chinese Medicine usually cover Complementary and alternative medicine (185 papers), Pharmacology (105 papers), Pharmacology (66 papers), Neurology (23 papers) and Molecular Biology (152 papers) specifically the topics of Traditional Chinese Medicine Analysis (69 papers), Traditional Chinese Medicine Studies (63 papers), Pharmacological Effects of Natural Compounds (54 papers), Acupuncture Treatment Research Studies (38 papers), Natural product bioactivities and synthesis (34 papers), Plant-based Medicinal Research (30 papers), Phytochemistry and Biological Activities (27 papers) and Ginseng Biological Effects and Applications (26 papers). The most active scholars publishing in World Journal of Traditional Chinese Medicine are Shao Li, Thomas Efferth, Josef A. Brinckmann, Gerhard Franz, Mei Wang, Christian Bailly, De‐an Guo, Jiansheng Li, Kaixian Chen and Lei Liu.
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.