Yi Han

3.3k citations
100 papers · 2.4k · h-index 24

Impact in

Papers in

Yi Han

92 papers receiving 2.4k citations

Peers

Yi Han
Comparison fields: 5 of 140
  • Biochemistry 671
  • Pathology and Forensic Medicine 232
  • Endocrine and Autonomic Systems 87
  • Cardiology and Cardiovascular Medicine 268
  • Physiology 312
Replace Colin J. Meyer with:
Colin J. Meyer United States
Hui Huang China
Zhi‐Han Tang China
Graham P. Pidgeon Ireland
Šárka Lhoták Canada
Diego Rodrı́guez-Puyol Spain
Santhini Ramasamy United States
Richard Lee United States
William B. Kinlaw United States
Mustapha Rouis France
Yi Han relative to Colin J. Meyer United States Colin J. Meyer's profile →
Citations per field
00.5×1.5×2.3×
Colin J. Meyer · 1×
Citations per year

Countries citing papers authored by Yi Han

Since Specialization
Citations

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

Fields of papers citing papers by Yi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016286
2 2013158
3 2016122
4 2017113
5 2016101
6 201799
7 201599
8 201393
9 202092
10 202177
11 202167
12 201861
13 202357
14 201257
15 201954
16 201751
17 202143
18 201443
19 201538
20 201632

About Yi Han

Yi Han is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Pathology and Forensic Medicine and Oncology, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Lung Cancer Treatments and Mutations (4 papers), Neuropeptides and Animal Physiology (4 papers), Respiratory Support and Mechanisms (3 papers) and Advanced Glycation End Products research (3 papers). The work is most often cited by research in Biochemistry (671 citations), Pathology and Forensic Medicine (232 citations), Endocrine and Autonomic Systems (87 citations), Cardiology and Cardiovascular Medicine (268 citations) and Physiology (312 citations). Yi Han has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yong Ji, Liping Xie, Guoliang Meng, Shuang Zhao, Albert Ferro, Hong Wang, Philip K. Moore, Yue Gu, Suming Zhou and Zhidong Liu. Their work appears in journals such as British Journal of Pharmacology, PLoS ONE, Antioxidants and Redox Signaling, Circulation and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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