Yanming Wei
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 19
- Traditional Chinese Medicine Studies 4
-
- Pharmacological Effects of Natural Compounds 6
- Co-authors
- Yongli Hua (39 shared papers)Peng Ji (29 shared papers)Wanling Yao (22 shared papers)Ziwen Yuan (15 shared papers)Xiaosong Zhang (6 shared papers)Junjie Hu (5 shared papers)Lijia Zhong (5 shared papers)Man Zhang (3 shared papers)
- Journals
- Journal of Ethnopharmacology (8 papers)Biomedical Chromatography (5 papers)Frontiers in Veterinary Science (4 papers)BMC Veterinary Research (3 papers)Pharmaceutical Biology (3 papers)
- Partner nations
- ChinaAustraliaNew Zealand
In The Last Decade
Yanming Wei
98 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Complementary and alternative medicine 274
- Pharmacology 134
- Biological Psychiatry 18
- Energy Engineering and Power Technology 24
- Molecular Biology 497
Countries citing papers authored by Yanming Wei
This map shows the geographic impact of Yanming Wei's research. 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 Yanming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanming Wei more than expected).
Fields of papers citing papers by Yanming Wei
This network shows the impact of papers produced by Yanming Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yanming Wei. The network helps show where Yanming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanming Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 73 | |
| 2 | 2021 | 69 | |
| 3 | 2014 | 69 | |
| 4 | 2022 | 68 | |
| 5 | 2022 | 59 | |
| 6 | 2015 | 54 | |
| 7 | 2016 | 51 | |
| 8 | 2019 | 50 | |
| 9 | 2015 | 48 | |
| 10 | 2022 | 44 | |
| 11 | 2018 | 43 | |
| 12 | 2017 | 35 | |
| 13 | 2014 | 34 | |
| 14 | 2014 | 31 | |
| 15 | 2017 | 30 | |
| 16 | 2024 | 30 | |
| 17 | 2020 | 29 | |
| 18 | 2016 | 29 | |
| 19 | 2014 | 29 | |
| 20 | 2021 | 28 |
About Yanming Wei
Yanming Wei is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Aquatic Science and Aerospace Engineering, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (19 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Pharmacological Effects of Natural Compounds (6 papers), Autophagy in Disease and Therapy (5 papers), Animal Disease Management and Epidemiology (5 papers), Fish Biology and Ecology Studies (5 papers), Traditional Chinese Medicine Studies (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Complementary and alternative medicine (274 citations), Pharmacology (134 citations), Biological Psychiatry (18 citations), Energy Engineering and Power Technology (24 citations) and Molecular Biology (497 citations). Yanming Wei has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Yongli Hua, Peng Ji, Wanling Yao, Ziwen Yuan, Xiaosong Zhang, Junjie Hu, Lijia Zhong, Man Zhang, Qi Ma and József Gál. Their work appears in journals such as Journal of Ethnopharmacology, Biomedical Chromatography, Frontiers in Veterinary Science, BMC Veterinary Research and Pharmaceutical Biology.
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.