Warren Chan
- Human-Computer Interaction top 5%
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders 3
- Dermatology top 10%
- Cutaneous lymphoproliferative disorders research 3
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- Human-Automation Interaction and Safety 4
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- Nail Diseases and Treatments 3
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- Muscle metabolism and nutrition 3
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- Antioxidant Activity and Oxidative Stress 3
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- Optical Coherence Tomography Applications 2
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- Histiocytic Disorders and Treatments 2
- Co-authors
- Vassilis CharissisDavid K. HarrisonDaniel J. LewisJannat FalahTasneem AlfalahSalsabeel F. M. AlfalahWilliam E. MitchSylvia Hsu
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (3 papers)Journal of the American Academy of Dermatology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomJordan
In The Last Decade
Warren Chan
38 papers receiving 455 citations
Peers
Comparison fields: 5 of 115
- Human-Computer Interaction 66
- Clinical Biochemistry 40
- Dermatology 48
- Nephrology 30
- General Dentistry 6
Countries citing papers authored by Warren Chan
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 11 | |
| 4 | 2020 | 12 | |
| 5 | 2019 | 53 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 3 | |
| 10 | 2014 | 88 | |
| 11 | 2013 | 19 | |
| 12 | AI for driving simulator vehicles and accident events | 2007 | 2 |
| 13 | 2000 | 2 | |
| 14 | 1999 | 2 | |
| 15 | 1999 | 2 | |
| 16 | 1997 | 1 | |
| 17 | 1996 | 7 | |
| 18 | 1996 | 8 | |
| 19 | 1992 | 43 | |
| 20 | Amino acid metabolism in the chronically uremic rat. | 1975 | 28 |
About Warren Chan
Warren Chan is a scholar working on Biophysics, Biochemistry and Dermatology, having authored 38 papers that have together received 488 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (4 papers), Nail Diseases and Treatments (3 papers), Metabolism and Genetic Disorders (3 papers), Muscle metabolism and nutrition (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Optical Coherence Tomography Applications (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Human-Computer Interaction (66 citations), Clinical Biochemistry (40 citations) and Dermatology (48 citations). Warren Chan has collaborated with scholars based in United States, United Kingdom and Jordan. Frequent co-authors include Vassilis Charissis, David K. Harrison, Daniel J. Lewis, Jannat Falah, Tasneem Alfalah, Salsabeel F. M. Alfalah, William E. Mitch, Sylvia Hsu, Steven R. Feldman and David E. Wazer. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of the American Academy of Dermatology, Scientific Reports, Food and Chemical Toxicology and Pediatric Dermatology.
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.