Ming Yan

3.0k citations
109 papers · 2.4k · h-index 29

Impact in

Papers in

Ming Yan

106 papers receiving 2.4k citations

Peers

Ming Yan
Comparison fields: 5 of 121
  • Pharmacology 321
  • Reproductive Medicine 289
  • Complementary and alternative medicine 245
  • Pharmacology 292
  • Biological Psychiatry 42
Replace Mohammad Afzal Zargar with:
Mohammad Afzal Zargar India
Jianqiang Yu China
Seong Kyu Park South Korea
Jiaur R. Gayen India
Chengyuan Lin Hong Kong
Si‐Kwan Kim South Korea
Shulan Su China
Fang Huang China
Stephen Cho Wing Sze Hong Kong
Guiyuan Lv China
Ming Yan relative to Mohammad Afzal Zargar India Mohammad Afzal Zargar's profile →
Citations per field
00.5×1.5×1.8×
Mohammad Afzal Zargar · 1×
Citations per year

Countries citing papers authored by Ming Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Yan Line = papers co-authored together Ming Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 2008139
3 2019121
4 202082
5 200678
6 201573
7 201770
8 201970
9 201765
10 201963
11 201559
12 201647
13 200644
14 201743
15 200341
16 201740
17 201840
18 201438
19 201537
20 201537

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 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sperm and Testicular Function (15 papers), Phytochemistry and Biological Activities (12 papers), Reproductive Biology and Fertility (11 papers), Natural product bioactivities and synthesis (8 papers), Alzheimer's disease research and treatments (7 papers), Neuropeptides and Animal Physiology (6 papers), Renal Diseases and Glomerulopathies (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Pharmacology (321 citations), Reproductive Medicine (289 citations), Complementary and alternative medicine (245 citations), Pharmacology (292 citations) and Biological Psychiatry (42 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, Xiaoming Peng, Zhenzhou Jiang, Ling He and Chongjiang Cao. Their work appears in journals such as Phytotherapy Research, Journal of Ethnopharmacology, Bioorganic & Medicinal Chemistry Letters, Chinese Journal of Natural Medicines 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.

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