Tom Yates
- Physiology top 2%
- Physical Activity and Health 39
- Applied Psychology top 5%
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- Cardiovascular and exercise physiology 14
- Modeling and Simulation top 2%
- General Health Professions top 2%
- Mobile Health and mHealth Applications 11
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- Obesity, Physical Activity, Diet 18
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- Tuberculosis Research and Epidemiology 17
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- Chronic Disease Management Strategies 6
- Mycobacterium research and diagnosis 6
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- Sleep and related disorders 6
- Co-authors
- Melanie J. DaviesCharlotte L. EdwardsonKamlesh KhuntiAlex V. RowlandsDavid W. DunstanDanielle H. BodicoatGeneviève N. HealyElisabeth Winkler
- Partner nations
- United KingdomAustraliaSouth Africa
In The Last Decade
Tom Yates
100 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Physiology 1.2k
- Applied Psychology 183
- Complementary and alternative medicine 245
- Modeling and Simulation 132
- General Health Professions 630
Countries citing papers authored by Tom Yates
This map shows the geographic impact of Tom Yates'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 Tom Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Yates more than expected).
Fields of papers citing papers by Tom Yates
This network shows the impact of papers produced by Tom Yates. 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 Tom Yates. The network helps show where Tom Yates may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom Yates, 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 | 2024 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 30 | |
| 19 | 2020 | 8 | |
| 20 | 2007 | 6 |
About Tom Yates
Tom Yates is a scholar working on Complementary and alternative medicine, Physiology, Infectious Diseases, Modeling and Simulation and Applied Psychology, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Physical Activity and Health (39 papers), Obesity, Physical Activity, Diet (18 papers), Tuberculosis Research and Epidemiology (17 papers), Cardiovascular and exercise physiology (14 papers), Mobile Health and mHealth Applications (11 papers), Chronic Disease Management Strategies (6 papers), Sleep and related disorders (6 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Physiology (1.2k citations), Applied Psychology (183 citations), Complementary and alternative medicine (245 citations), Modeling and Simulation (132 citations) and General Health Professions (630 citations). Tom Yates has collaborated with scholars based in United Kingdom, Australia and South Africa. Frequent co-authors include Melanie J. Davies, Charlotte L. Edwardson, Kamlesh Khunti, Alex V. Rowlands, David W. Dunstan, Danielle H. Bodicoat, Geneviève N. Healy, Elisabeth Winkler, Deirdre M. Harrington and Fehmidah Munir. Their work appears in journals such as Trials, Medicine & Science in Sports & Exercise, Sensors, The Lancet Infectious Diseases and Journal of the Royal Society of 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.