Tom Yates

5.4k total citations · 2 hit papers
108 papers, 3.0k citations indexed

About

Tom Yates is a scholar working on Physiology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Tom Yates has authored 108 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Physiology, 24 papers in Infectious Diseases and 22 papers in Epidemiology. Recurrent topics in Tom Yates's work include Physical Activity and Health (39 papers), Obesity, Physical Activity, Diet (18 papers) and Tuberculosis Research and Epidemiology (17 papers). Tom Yates is often cited by papers focused on Physical Activity and Health (39 papers), Obesity, Physical Activity, Diet (18 papers) and Tuberculosis Research and Epidemiology (17 papers). Tom Yates collaborates with scholars based in United Kingdom, Australia and South Africa. Tom Yates's 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 and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tom Yates

100 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Considerations when using the activPAL monitor in field-based research with adult populations

2016 352 citations Charlotte L. Edwardson, Tom Yates et al. Journal of sport and health science profile →
Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries

2021 285 citations Nazrul Islam, Kamlesh Khunti et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Yates United Kingdom	27	1.2k	712	630	412	338	108	3.0k
Erik J. Groessl United States	32	1.2k 1.1×	422 0.6×	712 1.1×	181 0.4×	644 1.9×	119	4.1k
Leila Beltrami Moreira Brazil	30	729 0.6×	620 0.9×	467 0.7×	179 0.4×	359 1.1×	111	3.8k
Kristin Carson‐Chahhoud Australia	36	1.0k 0.9×	451 0.6×	568 0.9×	172 0.4×	391 1.2×	129	4.3k
Danijela Gašević Australia	29	933 0.8×	682 1.0×	545 0.9×	195 0.5×	518 1.5×	122	4.8k
Eric Wong Canada	34	723 0.6×	510 0.7×	600 1.0×	202 0.5×	431 1.3×	131	5.0k
Stephen K. Epstein United States	17	513 0.4×	469 0.7×	596 0.9×	225 0.5×	338 1.0×	31	3.3k
Frederick K. Ho United Kingdom	43	2.2k 1.9×	1.1k 1.5×	416 0.7×	602 1.5×	578 1.7×	213	5.9k
Nathalie J. Farpour‐Lambert Switzerland	40	1.4k 1.2×	1.6k 2.2×	570 0.9×	117 0.3×	473 1.4×	77	4.8k
Susan Kirkland Canada	35	1.6k 1.4×	612 0.9×	517 0.8×	169 0.4×	509 1.5×	149	4.8k
Ben Djulbegovic United States	7	454 0.4×	1.2k 1.7×	792 1.3×	233 0.6×	728 2.2×	8	5.9k

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-authorship network of co-authors of Tom Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Yates. A scholar is included among the top collaborators of Tom Yates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Yates. Tom Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rowlands, Alex V., Andrew P. Kingsnorth, Bjørge Herman Hansen, et al.. (2024). Enhancing clinical and public health interpretation of accelerometer-assessed physical activity with age-referenced values based on UK Biobank data. Journal of sport and health science. 14. 100977–100977. 6 indexed citations

McCarthy, Matthew D., Paddy C. Dempsey, Francesco Zaccardi, et al.. (2024). Capturing How the Accelerometer Measured Physical Activity Profile Differs in People with Diabetic Foot Ulceration. Sensors. 24(15). 4875–4875.

Razieh, Cameron, Sharmin Shabnam, Hajira Dambha‐Miller, et al.. (2024). Socioeconomic inequalities in risk of infection with SARS-CoV-2 delta and omicron variants in the UK, 2020-22: analysis of the longitudinal COVID-19 Infection Survey. SHILAP Revista de lepidopterología. 3(1). e000624–e000624. 1 indexed citations

Seidu, Samuel, Abdullah Almaqhawi, Thomas J. Wilkinson, et al.. (2023). Physical activity and risk of chronic kidney disease: systematic review and meta-analysis of 12 cohort studies involving 1,281,727 participants. European Journal of Epidemiology. 38(3). 267–280. 18 indexed citations

Rowlands, Alex V., Mark Orme, Benjamin D. Maylor, et al.. (2023). Can quantifying the relative intensity of a person’s free-living physical activity predict how they respond to a physical activity intervention? Findings from the PACES RCT. British Journal of Sports Medicine. 57(22). 1428–1434. 9 indexed citations

Plekhanova, Tatiana, Melanie J. Davies, Trish Gorely, et al.. (2023). Association between Chronotype and Physical Behaviours in Adolescent Girls. Children. 10(5). 819–819. 7 indexed citations

Maylor, Benjamin D., Charlotte L. Edwardson, AM Clarke-Cornwell, et al.. (2023). Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health. Sensors. 23(17). 7353–7353. 7 indexed citations

Khunti, Kamlesh, Nithya Sukumar, Ghazala Waheed, et al.. (2023). Structured group education programme and accompanying mHealth intervention to promote physical activity in women with a history of gestational diabetes: A randomised controlled trial. Diabetic Medicine. 40(7). e15118–e15118. 4 indexed citations

Dempsey, Paddy C., Crispin Musicha, Alex V. Rowlands, et al.. (2022). Investigation of a UK biobank cohort reveals causal associations of self-reported walking pace with telomere length. Communications Biology. 5(1). 381–381. 28 indexed citations

10.

Gillies, Clare, Alex V. Rowlands, Cameron Razieh, et al.. (2022). Association between household size and COVID-19: A UK Biobank observational study. Journal of the Royal Society of Medicine. 115(4). 138–144. 15 indexed citations

11.

Maylor, Benjamin D., Charlotte L. Edwardson, Paddy C. Dempsey, et al.. (2022). Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm. Sensors. 22(24). 9984–9984. 10 indexed citations

12.

Beckwith, Peter, Aaron S Karat, Arminder Deol, et al.. (2022). Direct estimates of absolute ventilation and estimated Mycobacterium tuberculosis transmission risk in clinics in South Africa. SHILAP Revista de lepidopterología. 2(11). e0000603–e0000603. 1 indexed citations

13.

Karat, Aaron S, Nicky McCreesh, Kathy Baisley, et al.. (2022). Estimating waiting times, patient flow, and waiting room occupancy density as part of tuberculosis infection prevention and control research in South African primary health care clinics. SHILAP Revista de lepidopterología. 2(7). e0000684–e0000684. 8 indexed citations

14.

McCreesh, Nicky, Aaron S Karat, Kathy Baisley, et al.. (2022). Estimating the contribution of transmission in primary healthcare clinics to community-wide TB disease incidence, and the impact of infection prevention and control interventions, in KwaZulu-Natal, South Africa. BMJ Global Health. 7(4). e007136–e007136. 10 indexed citations

15.

Gulsin, Gaurav S., Emer M. Brady, Anna-Marie Marsh, et al.. (2021). Clinical associations with stage B heart failure in adults with type 2 diabetes. Therapeutic Advances in Endocrinology and Metabolism. 12. 2425399424–2425399424. 4 indexed citations

16.

McCreesh, Nicky, Aaron S Karat, Kathy Baisley, et al.. (2021). Modelling the effect of infection prevention and control measures on rate of Mycobacterium tuberculosis transmission to clinic attendees in primary health clinics in South Africa. BMJ Global Health. 6(10). e007124–e007124. 12 indexed citations

17.

Dawkins, Nathan P., Tom Yates, Mateusz Bocian, et al.. (2021). Normative wrist-worn accelerometer values for self-paced walking and running: a walk in the park. Journal of Sports Sciences. 40(1). 81–88. 6 indexed citations

18.

Rowlands, Alex V., David E. Kloecker, Yogini Chudasama, et al.. (2020). Association of Timing and Balance of Physical Activity and Rest/Sleep With Risk of COVID-19: A UK Biobank Study. Mayo Clinic Proceedings. 96(1). 156–164. 30 indexed citations

19.

Dawkins, Nathan P., Tom Yates, Charlotte L. Edwardson, et al.. (2020). Comparing 24 h physical activity profiles: Office workers, women with a history of gestational diabetes and people with chronic disease condition(s). Journal of Sports Sciences. 39(2). 219–226. 8 indexed citations

20.

Yates, Tom, et al.. (2007). Rights and the reality of healthcare charging in the United Kingdom. Medicine Conflict & Survival. 23(4). 297–304. 6 indexed citations

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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