Kai Sun

7.5k citations
240 papers · 5.4k · h-index 42

Impact in

Papers in

Kai Sun

231 papers receiving 5.3k citations

Peers

Kai Sun
Comparison fields: 5 of 139
  • Complementary and alternative medicine 578
  • Cardiology and Cardiovascular Medicine 1.1k
  • Neurology 316
  • Cancer Research 419
  • Pathology and Forensic Medicine 456
Replace Wei Deng with:
Wei Deng China
Rajarajan A. Thandavarayan United States
Tzong‐Shyuan Lee Taiwan
Kenichi Watanabe Japan
Zhenqi Liu United States
Li Chu China
Yaw L. Siow Canada
Ana M. Briones Spain
Lei Xiao China
Yong Ji China
Kai Sun relative to Wei Deng China Wei Deng's profile →
Citations per field
00.5×2.6×
Wei Deng · 1×
Citations per year

Countries citing papers authored by Kai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2011121
3 2010116
4 2019104
5 201892
6 200988
7 200888
8 200988
9 200782
10 201080
11 200780
12 201978
13 201072
14 201368
15 201767
16 201867
17 201365
18 201462
19 201662
20 202060

About Kai Sun

Kai Sun is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Complementary and alternative medicine and Surgery, having authored 240 papers that have together received 5.4k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (21 papers), Cardiac Ischemia and Reperfusion (13 papers), Pulmonary Hypertension Research and Treatments (12 papers), Cancer-related molecular mechanisms research (11 papers), Blood Pressure and Hypertension Studies (8 papers), Barrier Structure and Function Studies (8 papers), Ginseng Biological Effects and Applications (8 papers) and Cardiomyopathy and Myosin Studies (8 papers). The work is most often cited by research in Complementary and alternative medicine (578 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Neurology (316 citations), Cancer Research (419 citations) and Pathology and Forensic Medicine (456 citations). Kai Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rutai Hui, Jing‐Yan Han, Jing‐Yu Fan, Yuying Liu, Chun‐Shui Pan, Chuan‐She Wang, Jingzhou Chen, Weili Zhang, Yibo Wang and Yongyi Bai. Their work appears in journals such as Microcirculation, Frontiers in Physiology, Frontiers in Pharmacology, Clinical Science 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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