Ming Yan
Impact in
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
- Alkaloids: synthesis and pharmacology
- Reproductive Medicine top 2%
- Sperm and Testicular Function
Papers in
-
- Sperm and Testicular Function 15
-
- Neuropeptides and Animal Physiology 5
- Co-authors
- Luyong Zhang (21 shared papers)C. Yan Cheng (15 shared papers)Ren‐Shan Ge (12 shared papers)Siwen Wu (7 shared papers)Xinmin Liu (5 shared papers)Li Gao (5 shared papers)Shixia Huo (6 shared papers)Xiaoming Peng (5 shared papers)
- Journals
- Journal of Ethnopharmacology (7 papers)Phytotherapy Research (7 papers)Reproductive Toxicology (3 papers)Chinese Journal of Natural Medicines (3 papers)Phytomedicine (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Yan
101 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 118
- Pharmacology 302
- Reproductive Medicine 284
- Complementary and alternative medicine 225
- Pharmacology 276
- Biochemistry 94
Countries citing papers authored by Ming Yan
This map shows the geographic impact of Ming Yan'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 Ming Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).
Fields of papers citing papers by Ming Yan
This network shows the impact of papers produced by Ming Yan. 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 Ming Yan. The network helps show where Ming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yan, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 164 | |
| 2 | 2008 | 144 | |
| 3 | 2019 | 128 | |
| 4 | 2020 | 92 | |
| 5 | 2017 | 83 | |
| 6 | 2006 | 82 | |
| 7 | 2015 | 78 | |
| 8 | 2017 | 69 | |
| 9 | 2019 | 66 | |
| 10 | 2015 | 60 | |
| 11 | 2016 | 51 | |
| 12 | 2006 | 47 | |
| 13 | 2017 | 47 | |
| 14 | 2014 | 44 | |
| 15 | 2003 | 43 | |
| 16 | 2015 | 42 | |
| 17 | 2017 | 42 | |
| 18 | 2015 | 41 | |
| 19 | 2018 | 41 | |
| 20 | 2015 | 37 |
About Ming Yan
Ming Yan is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Pharmacology and Molecular Biology, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sperm and Testicular Function (15 papers), Reproductive Biology and Fertility (11 papers), Phytochemistry and Biological Activities (10 papers), Natural product bioactivities and synthesis (7 papers), Renal Diseases and Glomerulopathies (5 papers), Neuropeptides and Animal Physiology (5 papers), Alzheimer's disease research and treatments (5 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Pharmacology (302 citations), Reproductive Medicine (284 citations), Complementary and alternative medicine (225 citations), Pharmacology (276 citations) and Biochemistry (94 citations). Ming Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Luyong Zhang, C. Yan Cheng, Ren‐Shan Ge, Siwen Wu, Xinmin Liu, Li Gao, Shixia Huo, Xiaoming Peng, Zhenzhou Jiang and Ling He. Their work appears in journals such as Journal of Ethnopharmacology, Phytotherapy Research, Reproductive Toxicology, Chinese Journal of Natural Medicines and Phytomedicine.
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.