State Administration of Traditional Chinese Medicine of the People's Republic of China
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Traditional Chinese Medicine Analysis 217
- Pharmacology 333
- Pharmacological Effects of Natural Compounds 126
State Administration of Traditional Chinese Medicine of the People's Republic of China
2.6k papers receiving 51.1k citations
Peers
Comparison fields: 5 of 218
- Complementary and alternative medicine 6.2k
- Pharmacology 6.0k
- Biological Psychiatry 1.3k
- Neurology 3.0k
- Molecular Biology 24.4k
Countries citing scholars working at State Administration of Traditional Chinese Medicine of the People's Republic of China
This map shows the geographic impact of research produced by authors working at State Administration of Traditional Chinese Medicine of the People's Republic of China. 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 produced at State Administration of Traditional Chinese Medicine of the People's Republic of China with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites State Administration of Traditional Chinese Medicine of the People's Republic of China more than expected).
Fields of papers published by authors at State Administration of Traditional Chinese Medicine of the People's Republic of China
This network shows the impact of papers affiliated with State Administration of Traditional Chinese Medicine of the People's Republic of China at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with State Administration of Traditional Chinese Medicine of the People's Republic of China at the time of their publication.
About State Administration of Traditional Chinese Medicine of the People's Republic of China
In recent decades, authors affiliated with State Administration of Traditional Chinese Medicine of the People's Republic of China have published 3.4k papers, which have received a total of 63.4k indexed citations . Scholars at this organization have produced 429 papers in Complementary and alternative medicine, 333 papers in Pharmacology, 332 papers in Pharmacology, 164 papers in Neurology and 1.3k papers in Molecular Biology on the topics of Traditional Chinese Medicine Analysis (217 papers), Natural product bioactivities and synthesis (205 papers), Ginseng Biological Effects and Applications (183 papers), Phytochemistry and Biological Activities (134 papers), Pharmacological Effects of Natural Compounds (126 papers), Plant biochemistry and biosynthesis (110 papers), Neuroinflammation and Neurodegeneration Mechanisms (107 papers) and Metabolomics and Mass Spectrometry Studies (100 papers). Their work is cited by papers focused on Complementary and alternative medicine (6.2k citations), Pharmacology (6.0k citations), Biological Psychiatry (1.3k citations), Neurology (3.0k citations) and Molecular Biology (24.4k citations). Authors at State Administration of Traditional Chinese Medicine of the People's Republic of China collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Journal of Ethnopharmacology, Phytomedicine, Frontiers in Pharmacology, Molecules and Scientific Reports. Some of State Administration of Traditional Chinese Medicine of the People's Republic of China's most productive authors include Zhengtao Wang, Li Yang, Lili Ji, Chang hong Wang, Guibo Sun, Jiao Guo, Xiaobo Sun, Jing‐Yan Han, Jing‐Yu Fan and Zhengquan Su.
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.