Tom Yates

95 papers receiving 3.0k citations

Tom Yates's Hit Papers

Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries 2021 · 297 citations
2970+3+6Years since publication100200300

Peers

Tom Yates
Comparison fields: 5 of 167
  • Physiology 800
  • Infectious Diseases 350
  • Modeling and Simulation 90
  • Applied Psychology 91
  • Complementary and alternative medicine 129
Replace Eric Wong with:
Eric Wong Canada
Danijela Gašević Australia
Bhautesh Jani United Kingdom
Derrick Heng Singapore
Sally Kerry United Kingdom
Shiho Amagasa Japan
Shicheng Yu China
Irma Klerings Austria
Sarah Cuschieri Malta
Jennifer K Quint United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Tom Yates

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Tom Yates Line = papers co-authored together Tom Yates links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Considerations when using the activPAL monitor in field-based research with adult populations
Hit paper breakdown →
2016363
2
Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries
Hit paper breakdown →
2021297
3 2018189
4 2018151
5 2017132
6 2016129
7 2022108
8 2016101
9 201888
10 201468
11 200758
12 201857
13 200155
14 201455
15 201054
16 201947
17 202343
18 201742
19 201938
20 201536

About Tom Yates

Tom Yates is a scholar working on Physiology, Infectious Diseases, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 104 papers that have together received 3.0k indexed citations. Recurring topics across this work include Physical Activity and Health (24 papers), Tuberculosis Research and Epidemiology (17 papers), Obesity, Physical Activity, Diet (5 papers), Cardiovascular and exercise physiology (5 papers), Mycobacterium research and diagnosis (4 papers), Mobile Health and mHealth Applications (3 papers), Pneumonia and Respiratory Infections (3 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Physiology (800 citations), Infectious Diseases (350 citations), Modeling and Simulation (90 citations), Applied Psychology (91 citations) and Complementary and alternative medicine (129 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, Elisabeth Winkler, Geneviève N. Healy, Fehmidah Munir and Laura J. Gray. Their work appears in journals such as Medicine & Science in Sports & Exercise, Trials, The Lancet Infectious Diseases, Sensors and Journal of sport and health science.

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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