Warren Chan

43 papers receiving 559 citations

Peers

Warren Chan
Comparison fields: 5 of 117
  • Human-Computer Interaction 109
  • Clinical Biochemistry 38
  • Dermatology 48
  • General Dentistry 7
  • Computer Vision and Pattern Recognition 95
Replace Seung Joon Lee with:
Seung Joon Lee South Korea
Andrew Grant Canada
Mark Hughes Ireland
Robert Hardy United States
David Carmichael United Kingdom
Rohan Bir Singh United States
Usha Desai India
Vikas Chaudhary India
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Warren Chan relative to Seung Joon Lee South Korea Seung Joon Lee's profile →
Citations per field
00.5×4.2×
Seung Joon Lee · 1×
Citations per year

Countries citing papers authored by Warren Chan

Since Specialization
Citations

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

Fields of papers citing papers by Warren Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014100
2 201957
3 199244
4 199836
5
Amino acid metabolism in the chronically uremic rat.
197529
6 201526
7 201324
8 197824
9 201619
10 201718
11 202418
12 201316
13 197915
14 202013
15 199413
16 201813
17 202013
18 197812
19 201711
20 201711

About Warren Chan

Warren Chan is a scholar working on Physiology, Surgery, Social Psychology, Epidemiology and Molecular Biology, having authored 43 papers that have together received 604 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Human-Automation Interaction and Safety (4 papers), Virtual Reality Applications and Impacts (4 papers), Muscle metabolism and nutrition (3 papers), Anatomy and Medical Technology (3 papers), Nail Diseases and Treatments (3 papers), Metabolism and Genetic Disorders (3 papers) and Telemedicine and Telehealth Implementation (3 papers). The work is most often cited by research in Human-Computer Interaction (109 citations), Clinical Biochemistry (38 citations), Dermatology (48 citations), General Dentistry (7 citations) and Computer Vision and Pattern Recognition (95 citations). Warren Chan has collaborated with scholars based in United States, United Kingdom and Jordan. Frequent co-authors include Vassilis Charissis, David K. Harrison, Jannat Falah, Salsabeel F. M. Alfalah, Daniel J. Lewis, Tasneem Alfalah, William E. Mitch, Steven R. Feldman, Sylvia Hsu and Rupert Schmidt‐Ullrich. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Bioinformatics, Journal of the American Society of Nephrology, Science Advances and Experimental Biology 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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