Ming‐Ming Yan
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Cognitive Neuroscience top 10%
- Sleep and Wakefulness Research
Papers in
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- Sleep and Wakefulness Research 3
-
- Pharmacovigilance and Adverse Drug Reactions 2
- Co-authors
- Yoshihiro Urade (3 shared papers)Xin‐Hong Xu (4 shared papers)Zhi‐Li Huang (4 shared papers)Wei‐Min Qu (4 shared papers)Yi‐Qun Wang (1 shared paper)Caiyun Chen (2 shared papers)Wei Liu (1 shared paper)Meng Qiang Luo (1 shared paper)
- Journals
- Frontiers in Pharmacology (4 papers)Expert Opinion on Drug Safety (2 papers)Scientific Reports (2 papers)The Lancet (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ming‐Ming Yan
25 papers receiving 600 citations
Peers
Comparison fields: 5 of 108
- Endocrine and Autonomic Systems 87
- Cognitive Neuroscience 161
- Biochemistry 45
- Biological Psychiatry 16
- Experimental and Cognitive Psychology 70
Countries citing papers authored by Ming‐Ming Yan
This map shows the geographic impact of Ming‐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‐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‐Ming Yan more than expected).
Fields of papers citing papers by Ming‐Ming Yan
This network shows the impact of papers produced by Ming‐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‐Ming Yan. The network helps show where Ming‐Ming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 171 | |
| 2 | 2009 | 139 | |
| 3 | 2017 | 35 | |
| 4 | 2015 | 30 | |
| 5 | 2009 | 30 | |
| 6 | 2011 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2010 | 22 | |
| 9 | 2005 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2022 | 4 |
About Ming‐Ming Yan
Ming‐Ming Yan is a scholar working on Cognitive Neuroscience, Toxicology, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Endocrine and Autonomic Systems, having authored 25 papers that have together received 615 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (3 papers), Sleep and related disorders (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Traditional Chinese Medicine Analysis (2 papers), Circadian rhythm and melatonin (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Cognitive Neuroscience (161 citations), Biochemistry (45 citations), Biological Psychiatry (16 citations) and Experimental and Cognitive Psychology (70 citations). Ming‐Ming Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yoshihiro Urade, Xin‐Hong Xu, Zhi‐Li Huang, Wei‐Min Qu, Yi‐Qun Wang, Caiyun Chen, Wei Liu, Meng Qiang Luo, Yuangang Zu and Yujie Fu. Their work appears in journals such as Frontiers in Pharmacology, Expert Opinion on Drug Safety, Scientific Reports, The Lancet and PLoS ONE.
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.