Ming Yan
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
- Alkaloids: synthesis and pharmacology
Papers in
-
- Natural product bioactivities and synthesis 7
-
- Phytochemistry and Biological Activities 10
- 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
- Phytotherapy Research (7 papers)Journal of Ethnopharmacology (7 papers)Reproductive Toxicology (3 papers)Phytomedicine (3 papers)Acta Pharmacologica Sinica (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Yan
103 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 116
- Reproductive Medicine 278
- Pharmacology 286
- Complementary and alternative medicine 214
- Pharmacology 267
- Biological Psychiatry 36
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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 156 | |
| 2 | 2008 | 140 | |
| 3 | 2019 | 125 | |
| 4 | 2020 | 88 | |
| 5 | 2006 | 79 | |
| 6 | 2015 | 76 | |
| 7 | 2017 | 72 | |
| 8 | 2017 | 67 | |
| 9 | 2019 | 63 | |
| 10 | 2015 | 59 | |
| 11 | 2016 | 48 | |
| 12 | 2006 | 44 | |
| 13 | 2017 | 44 | |
| 14 | 2017 | 41 | |
| 15 | 2003 | 41 | |
| 16 | 2014 | 40 | |
| 17 | 2015 | 40 | |
| 18 | 2018 | 40 | |
| 19 | 2015 | 37 | |
| 20 | 2015 | 35 |
About Ming Yan
Ming Yan is a scholar working on Molecular Biology, Plant Science, Reproductive Medicine, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 2.4k 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 Natural Compounds in Disease Treatment (4 papers). The work is most often cited by research in Reproductive Medicine (278 citations), Pharmacology (286 citations), Complementary and alternative medicine (214 citations), Pharmacology (267 citations) and Biological Psychiatry (36 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 Phytotherapy Research, Journal of Ethnopharmacology, Reproductive Toxicology, Phytomedicine and Acta Pharmacologica Sinica.
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.