Ming‐Ming Yan

727 citations
25 papers · 562 · h-index 12

Impact in

Papers in

Ming‐Ming Yan

24 papers receiving 549 citations

Peers

Ming‐Ming Yan
Comparison fields: 5 of 123
  • Endocrine and Autonomic Systems 85
  • Cognitive Neuroscience 173
  • Biochemistry 43
  • Biological Psychiatry 17
  • Experimental and Cognitive Psychology 74
Replace Karim Zouaoui Boudjeltia with:
Karim Zouaoui Boudjeltia Belgium
Jianjun Gao China
Xiaoyi Chen China
Ahmed A. Rahman Australia
Mohammad Taghi Mohammadi Iran
F Jané Spain
Halil Özkol Türkiye
Howard R. Roberts United States
Xixi Wang China
Ming‐Ming Yan relative to Karim Zouaoui Boudjeltia Belgium Karim Zouaoui Boudjeltia's profile →
Citations per field
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Karim Zouaoui Boudjeltia · 1×
Citations per year

Countries citing papers authored by Ming‐Ming Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming‐Ming Yan Line = papers co-authored together Ming‐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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010159
2 2009125
3 201734
4 200930
5 201529
6 201622
7 201122
8 201021
9 200517
10 201816
11 202313
12 202212
13 201911
14 20219
15 20178
16 20238
17 20227
18 20195
19 20224
20 20183

About Ming‐Ming Yan

Ming‐Ming Yan is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Surgery, Molecular Biology and Pharmacology, having authored 25 papers that have together received 562 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (3 papers), Sleep and related disorders (3 papers), Sleep and Wakefulness Research (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Natural product bioactivities and synthesis (2 papers), Circadian rhythm and melatonin (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (85 citations), Cognitive Neuroscience (173 citations), Biochemistry (43 citations), Biological Psychiatry (17 citations) and Experimental and Cognitive Psychology (74 citations). Ming‐Ming Yan has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Wei‐Min Qu, Zhi‐Li Huang, Xin‐Hong Xu, Yoshihiro Urade, Yi‐Qun Wang, Caiyun Chen, Wei Liu, Yujie Fu, Meng Luo and Yuangang Zu. Their work appears in journals such as Frontiers in Pharmacology, Scientific Reports, Expert Opinion on Drug Safety, The Lancet and Ceramics International.

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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