Kevin Deighton

2.8k total citations
69 papers, 1.9k citations indexed

About

Kevin Deighton is a scholar working on Physiology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kevin Deighton has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 18 papers in Cell Biology and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kevin Deighton's work include Muscle metabolism and nutrition (18 papers), High Altitude and Hypoxia (14 papers) and Adipose Tissue and Metabolism (13 papers). Kevin Deighton is often cited by papers focused on Muscle metabolism and nutrition (18 papers), High Altitude and Hypoxia (14 papers) and Adipose Tissue and Metabolism (13 papers). Kevin Deighton collaborates with scholars based in United Kingdom, United States and Australia. Kevin Deighton's co-authors include David J. Stensel, Jamie Matu, Rachel L. Batterham, James A. King, Ben Jones, Oliver M. Shannon, Alice E. Thackray, Theocharis Ispoglou, Alex Griffiths and R. James Stubbs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Kevin Deighton

68 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Deighton United Kingdom 26 1.0k 493 389 348 282 69 1.9k
Tatiana Moro Italy 28 1.9k 1.8× 299 0.6× 518 1.3× 485 1.4× 187 0.7× 67 2.9k
Joy C. Bunt United States 24 1.0k 1.0× 289 0.6× 281 0.7× 399 1.1× 52 0.2× 42 2.4k
Kostas Tsintzas United Kingdom 30 1.7k 1.7× 404 0.8× 865 2.2× 402 1.2× 120 0.4× 100 2.9k
Jean‐Philippe Després Canada 26 1.2k 1.2× 735 1.5× 152 0.4× 324 0.9× 138 0.5× 62 3.2k
Darcy L. Johannsen United States 20 1.3k 1.3× 585 1.2× 272 0.7× 125 0.4× 209 0.7× 29 2.1k
F. Zurlo United States 17 2.1k 2.1× 582 1.2× 641 1.6× 374 1.1× 82 0.3× 28 3.4k
Per Mårin Sweden 27 1.7k 1.6× 243 0.5× 724 1.9× 475 1.4× 150 0.5× 41 4.2k
Charles J. Tanner United States 30 2.6k 2.6× 524 1.1× 716 1.8× 204 0.6× 70 0.2× 50 4.0k
David Simar Australia 28 895 0.9× 223 0.5× 165 0.4× 194 0.6× 34 0.1× 66 2.5k
Lucas Jurado‐Fasoli Spain 23 589 0.6× 159 0.3× 194 0.5× 83 0.2× 68 0.2× 81 1.2k

Countries citing papers authored by Kevin Deighton

Since Specialization
Citations

This map shows the geographic impact of Kevin Deighton'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 Kevin Deighton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Deighton more than expected).

Fields of papers citing papers by Kevin Deighton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Deighton. 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 Kevin Deighton. The network helps show where Kevin Deighton may publish in the future.

Co-authorship network of co-authors of Kevin Deighton

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Deighton. A scholar is included among the top collaborators of Kevin Deighton 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 Kevin Deighton. Kevin Deighton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thackray, Alice E., et al.. (2023). Analytical Performance of the Factory-Calibrated Flash Glucose Monitoring System FreeStyle Libre2TM in Healthy Women. Sensors. 23(17). 7417–7417. 9 indexed citations
2.
Chantler, Sarah, Alex Griffiths, Padraic J. Phibbs, et al.. (2022). The effect of rugby training on indirect markers of gut permeability and gut damage in academy level rugby players. European Journal of Applied Physiology. 122(12). 2545–2554.
3.
Ghione, Paola, M. Lia Palomba, Anik R. Patel, et al.. (2022). Comparative effectiveness of ZUMA-5 (axi-cel) vs SCHOLAR-5 external control in relapsed/refractory follicular lymphoma. Blood. 140(8). 851–860. 35 indexed citations
4.
Hatswell, Anthony J., et al.. (2022). Approaches to Selecting “Time Zero” in External Control Arms with Multiple Potential Entry Points: A Simulation Study of 8 Approaches. Medical Decision Making. 42(7). 893–905. 10 indexed citations
5.
6.
Ghione, Paola, M. Lia Palomba, Hervé Ghesquières, et al.. (2022). Treatment patterns and outcomes in relapsed/refractory follicular lymphoma: results from the international SCHOLAR-5 study. Haematologica. 108(3). 822–832. 21 indexed citations
7.
Chantler, Sarah, Alex Griffiths, Jamie Matu, et al.. (2020). The Effects of Exercise on Indirect Markers of Gut Damage and Permeability: A Systematic Review and Meta-analysis. Sports Medicine. 51(1). 113–124. 52 indexed citations
8.
Jones, Ben, et al.. (2020). Body composition differences by age and playing standard in male rugby union and rugby league: A systematic review and meta-analysis. Journal of Sports Sciences. 38(19). 2161–2176. 16 indexed citations
9.
Betts, James A., et al.. (2020). Galactose Ingested with a High-Fat Beverage Increases Postprandial Lipemia Compared with Glucose but Not Fructose Ingestion in Healthy Men. Journal of Nutrition. 150(7). 1765–1772. 9 indexed citations
10.
Rondeau, Éric, Anthony J. Hatswell, Spero R. Cataland, et al.. (2020). Comparative Efficacy of Ravulizumab and Eculizumab in the Treatment of Atypical Hemolytic Uremic Syndrome: An Indirect Comparison Using Clinical Trial Data. Journal of the American Society of Nephrology. 31(10S). 576–577. 2 indexed citations
11.
12.
Griffiths, Alex, Kevin Deighton, Oliver M. Shannon, et al.. (2019). Appetite and energy intake responses to breakfast consumption and carbohydrate supplementation in hypoxia. Appetite. 147. 104564–104564. 6 indexed citations
13.
14.
Dorling, James L., David Broom, Stephen F. Burns, et al.. (2018). Acute and Chronic Effects of Exercise on Appetite, Energy Intake, and Appetite-Related Hormones: The Modulating Effect of Adiposity, Sex, and Habitual Physical Activity. Nutrients. 10(9). 1140–1140. 159 indexed citations
15.
O’Mahoney, Lauren L., Jamie Matu, Oliver J. Price, et al.. (2018). Omega-3 polyunsaturated fatty acids favourably modulate cardiometabolic biomarkers in type 2 diabetes: a meta-analysis and meta-regression of randomized controlled trials. Cardiovascular Diabetology. 17(1). 98–98. 118 indexed citations
16.
Gonzalez, Javier T., James E. Frampton, & Kevin Deighton. (2016). Postprandial suppression of appetite is more reproducible at a group than an individual level: Implications for assessing inter-individual variability. Appetite. 108. 375–382. 4 indexed citations
17.
Bailey, Daniel P., Lindsey R. Smith, Bryna Chrismas, et al.. (2015). Appetite and gut hormone responses to moderate-intensity continuous exercise versus high-intensity interval exercise, in normoxic and hypoxic conditions. Appetite. 89. 237–245. 53 indexed citations
18.
Deighton, Kevin & David J. Stensel. (2014). Creating an acute energy deficit without stimulating compensatory increases in appetite: is there an optimal exercise protocol?. Proceedings of The Nutrition Society. 73(2). 352–358. 40 indexed citations
19.
Deighton, Kevin, et al.. (2012). Appetite, gut hormone and energy intake responses to low volume sprint interval and traditional endurance exercise. European Journal of Applied Physiology. 113(5). 1147–1156. 131 indexed citations
20.

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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