Min Yan

4.2k citations
186 papers · 3.1k · h-index 30

Impact in

Papers in

    • Pain Mechanisms and Treatments 21
    • Anesthesia and Pain Management 7

Min Yan

175 papers receiving 3.0k citations

Peers

Min Yan
Comparison fields: 5 of 119
  • Developmental Neuroscience 391
  • Anesthesiology and Pain Medicine 282
  • Critical Care and Intensive Care Medicine 235
  • Neurology 248
  • Biochemistry 123
Replace Ye Zhang with:
Ye Zhang China
Jeffrey R. Kirsch United States
Inge Bauer Germany
Young Jun Oh South Korea
Sheng Wang China
Atsuhiro Sakamoto Japan
Koji Sumikawa Japan
Keliang Xie China
Michael Zaugg Switzerland
Jianguo Xu China
Min Yan relative to Ye Zhang China Ye Zhang's profile →
Citations per field
00.5×4.0×
Ye Zhang · 1×
Citations per year

Countries citing papers authored by Min Yan

Since Specialization
Citations

This map shows the geographic impact of Min 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 Min Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Yan more than expected).

Fields of papers citing papers by Min Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min 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 Min Yan. The network helps show where Min Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Min 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 Min Yan Line = papers co-authored together Min Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012151
2 2020131
3 201089
4 201383
5 201168
6 201666
7 201865
8 201464
9 201562
10 202056
11 202056
12 200456
13 201353
14 201552
15 201447
16 201247
17 201846
18 201544
19 201443
20 201142

About Min Yan

Min Yan is a scholar working on Physiology, Surgery, Molecular Biology, Anesthesiology and Pain Medicine and Pathology and Forensic Medicine, having authored 186 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Cardiac Ischemia and Reperfusion (14 papers), Anesthesia and Neurotoxicity Research (12 papers), Blood transfusion and management (10 papers), Anesthesia and Sedative Agents (10 papers), Cardiac Arrest and Resuscitation (8 papers), Anesthesia and Pain Management (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Developmental Neuroscience (391 citations), Anesthesiology and Pain Medicine (282 citations), Critical Care and Intensive Care Medicine (235 citations), Neurology (248 citations) and Biochemistry (123 citations). Min Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lina Yu, Fengjiang Zhang, Jing Yu, Haibin Dai, Kai Sun, John H. Zhang, Jiping Tang, Ming Gong, Xuelong Zhou and Ling-Bo Qian. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, PLoS ONE, BMC Anesthesiology, Pain Physician and Scientific Reports.

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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