Cheuk‐Kwan Sun

10.7k citations
375 papers · 7.9k · h-index 44

Impact in

Papers in

Cheuk‐Kwan Sun

363 papers receiving 7.8k citations

Peers

Cheuk‐Kwan Sun
Comparison fields: 5 of 165
  • Genetics 877
  • Endocrine and Autonomic Systems 379
  • Cardiology and Cardiovascular Medicine 1.1k
  • Anesthesiology and Pain Medicine 251
  • Surgery 1.6k
Replace Hung‐Fat Tse with:
Hung‐Fat Tse Hong Kong
Wei Zhang China
José Eduardo Krieger Brazil
Hung‐Fat Tse Hong Kong
John J. Kelly United States
Yoshihiro Fukumoto Japan
Xinfeng Liu China
Chih‐Hung Chen Taiwan
Jürgen Peters Germany
Paul C. Lee United States
Cheuk‐Kwan Sun relative to Hung‐Fat Tse Hong Kong Hung‐Fat Tse's profile →
Citations per field
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Hung‐Fat Tse · 1×
Citations per year

Countries citing papers authored by Cheuk‐Kwan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Cheuk‐Kwan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 375 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011261
2 2005255
3 2010244
4 2016206
5 2010177
6 2014136
7 2012125
8 2011116
9 2020103
10 201398
11 201397
12 201295
13 200194
14 201486
15 201182
16 201578
17 201177
18 201272
19
Melatonin treatment enhances therapeutic effects of exosomes against acute liver ischemia-reperfusion injury.
201769
20 201267

About Cheuk‐Kwan Sun

Cheuk‐Kwan Sun is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Anesthesiology and Pain Medicine, having authored 375 papers that have together received 7.9k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (20 papers), Mesenchymal stem cell research (16 papers), Cardiovascular Health and Disease Prevention (16 papers), Liver Disease and Transplantation (15 papers), Non-Invasive Vital Sign Monitoring (15 papers), Organ Transplantation Techniques and Outcomes (15 papers), Airway Management and Intubation Techniques (14 papers) and Angiogenesis and VEGF in Cancer (11 papers). The work is most often cited by research in Genetics (877 citations), Endocrine and Autonomic Systems (379 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Anesthesiology and Pain Medicine (251 citations) and Surgery (1.6k citations). Cheuk‐Kwan Sun has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Hon‐Kan Yip, Steve Leu, Li‐Teh Chang, Jiunn‐Jye Sheu, Sarah Chua, Yung‐Lung Chen, Chiung‐Jen Wu, Y. H. Kao, Sheng‐Ying Chung and Tzu‐Hsien Tsai. Their work appears in journals such as Scientific Reports, Journal of Translational Medicine, International Journal of Cardiology, Circulation Journal and Medicine.

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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