Stephen Chan
Impact in
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- Sports Performance and Training
- Genetics top 10%
- Genetics and Physical Performance
Papers in
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- Muscle Physiology and Disorders 6
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- Muscle activation and electromyography studies 6
- Advanced Sensor and Energy Harvesting Materials 3
- Co-authors
- Stewart I. Head (9 shared papers)Kathryn N. North (4 shared papers)John W. Morley (2 shared papers)Keith A. Crutcher (1 shared paper)Martin Tolar (1 shared paper)Jeffrey N. Keller (1 shared paper)Mark P. Mattson (1 shared paper)Kate Quinlan (2 shared papers)
- Journals
- American Journal of Physiology-Cell Physiology (2 papers)PLoS ONE (2 papers)Muscle & Nerve (1 paper)American Journal of Physiology-Legacy Content (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Stephen Chan
11 papers receiving 641 citations
Peers
Comparison fields: 5 of 76
- Orthopedics and Sports Medicine 186
- Genetics 264
- Rehabilitation 60
- Cell Biology 118
- Physiology 178
Countries citing papers authored by Stephen Chan
This map shows the geographic impact of Stephen 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 Stephen Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Chan more than expected).
Fields of papers citing papers by Stephen Chan
This network shows the impact of papers produced by Stephen 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 Stephen Chan. The network helps show where Stephen Chan may publish in the future.
Co-authors
The 23 scholars most cited alongside Stephen 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 | 2008 | 228 | |
| 2 | 1999 | 137 | |
| 3 | 2007 | 66 | |
| 4 | 2011 | 50 | |
| 5 | 2010 | 46 | |
| 6 | 1962 | 34 | |
| 7 | 2015 | 29 | |
| 8 | 2010 | 23 | |
| 9 | 2014 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2011 | 11 |
About Stephen Chan
Stephen Chan is a scholar working on Molecular Biology, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Genetics and Orthopedics and Sports Medicine, having authored 11 papers that have together received 650 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (6 papers), Muscle Physiology and Disorders (6 papers), Cardiovascular Effects of Exercise (3 papers), Genetics and Physical Performance (3 papers), Sports Performance and Training (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Transcranial Magnetic Stimulation Studies (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (186 citations), Genetics (264 citations), Rehabilitation (60 citations), Cell Biology (118 citations) and Physiology (178 citations). Stephen Chan has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Stewart I. Head, Kathryn N. North, John W. Morley, Keith A. Crutcher, Martin Tolar, Jeffrey N. Keller, Mark P. Mattson, Kate Quinlan, Jane T. Seto and Edna C. Hardeman. Their work appears in journals such as American Journal of Physiology-Cell Physiology, PLoS ONE, Muscle & Nerve, American Journal of Physiology-Legacy Content and Human Molecular Genetics.
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.