Chengdu University of Traditional Chinese Medicine

190.3k citations
12.4k papers ·

Impact in

Papers in

    • Acupuncture Treatment Research Studies 482
    • Traditional Chinese Medicine Analysis 458
    • Traditional Chinese Medicine Studies 308
    • Pharmacological Effects of Natural Compounds 502
    • Plant-based Medicinal Research 283

Chengdu University of Traditional Chinese Medicine

8.9k papers receiving 153.0k citations

Peers

Chengdu University of Traditional Chinese Medicine
Comparison fields: 5 of 241
  • Complementary and alternative medicine 17.6k
  • Pharmacology 14.7k
  • Biological Psychiatry 2.8k
  • Pharmacology 13.9k
  • Molecular Biology 59.6k
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Chengdu University of Traditional Chinese Medicine relative to Army Medical University China Army Medical University's profile →
Citations per field
00.5×1.5×2.4×
Army Medical University · 1×
Citations per year

Countries citing scholars working at Chengdu University of Traditional Chinese Medicine

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Chengdu University 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 produced at Chengdu University 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 Chengdu University of Traditional Chinese Medicine more than expected).

Fields of papers published by authors at Chengdu University of Traditional Chinese Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Chengdu University of Traditional Chinese Medicine 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 Chengdu University of Traditional Chinese Medicine at the time of their publication.

About Chengdu University of Traditional Chinese Medicine

In recent decades, authors affiliated with Chengdu University of Traditional Chinese Medicine have published 12.4k papers, which have received a total of 190.3k indexed citations . Scholars at this organization have produced 1.5k papers in Complementary and alternative medicine, 1.0k papers in Pharmacology, 926 papers in Pharmacology, 124 papers in Biological Psychiatry and 3.2k papers in Molecular Biology on the topics of Pharmacological Effects of Natural Compounds (502 papers), Acupuncture Treatment Research Studies (482 papers), Traditional Chinese Medicine Analysis (458 papers), Natural product bioactivities and synthesis (419 papers), Traditional Chinese Medicine Studies (308 papers), Phytochemistry and Biological Activities (299 papers), Plant-based Medicinal Research (283 papers) and Ginseng Biological Effects and Applications (281 papers). Their work is cited by papers focused on Complementary and alternative medicine (17.6k citations), Pharmacology (14.7k citations), Biological Psychiatry (2.8k citations), Pharmacology (13.9k citations) and Molecular Biology (59.6k citations). Authors at Chengdu University of Traditional Chinese Medicine collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Frontiers in Pharmacology, Medicine, Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine and Scientific Reports. Some of Chengdu University of Traditional Chinese Medicine's most productive authors include Cheng Peng, Jinming Zhang, Bo Han, Hong Zhang, Wei Peng, Chunjie Wu, Wei Chen, Chaomei Fu, Xianli Meng and Fanrong Liang.

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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