Gary Slater

7.4k total citations
175 papers, 5.5k citations indexed

About

Gary Slater is a scholar working on Physiology, Cell Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Gary Slater has authored 175 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Physiology, 73 papers in Cell Biology and 63 papers in Orthopedics and Sports Medicine. Recurrent topics in Gary Slater's work include Muscle metabolism and nutrition (73 papers), Sports Performance and Training (60 papers) and Body Composition Measurement Techniques (32 papers). Gary Slater is often cited by papers focused on Muscle metabolism and nutrition (73 papers), Sports Performance and Training (60 papers) and Body Composition Measurement Techniques (32 papers). Gary Slater collaborates with scholars based in Australia, United States and United Kingdom. Gary Slater's co-authors include Louise M. Burke, Alisa Nana, Reid Reale, Arthur H. Aufses, David Jenkins, Will G. Hopkins, Stuart M. Phillips, Helen O’Connor, Arthur D. Stewart and Nuala M. Byrne and has published in prestigious journals such as American Journal of Clinical Nutrition, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Gary Slater

171 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Slater Australia 40 2.4k 2.2k 1.9k 836 607 175 5.5k
Michael J. Toth United States 45 2.2k 0.9× 675 0.3× 479 0.3× 299 0.4× 553 0.9× 166 5.4k
Daniel Uebelhart Switzerland 40 669 0.3× 678 0.3× 1.4k 0.7× 202 0.2× 288 0.5× 110 6.0k
Fabiana Braga Benatti Brazil 29 1.3k 0.5× 792 0.4× 397 0.2× 386 0.5× 488 0.8× 92 2.8k
Melanie Cree‐Green United States 36 1.5k 0.6× 1.0k 0.5× 376 0.2× 395 0.5× 696 1.1× 153 4.8k
Panagiota Klentrou Canada 29 728 0.3× 334 0.2× 1.1k 0.6× 444 0.5× 446 0.7× 141 3.1k
Christer Malm Sweden 30 574 0.2× 523 0.2× 794 0.4× 1.1k 1.3× 220 0.4× 84 3.0k
Elaine C. Lee United States 27 1.4k 0.6× 618 0.3× 468 0.3× 691 0.8× 167 0.3× 108 3.2k
Michael G. Hughes United States 39 508 0.2× 337 0.2× 1.6k 0.9× 332 0.4× 222 0.4× 125 4.2k
Ralph Beneke Germany 33 657 0.3× 808 0.4× 2.2k 1.2× 423 0.5× 113 0.2× 130 4.0k
John Saxton United Kingdom 34 1.1k 0.5× 188 0.1× 523 0.3× 659 0.8× 368 0.6× 109 3.8k

Countries citing papers authored by Gary Slater

Since Specialization
Citations

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

Fields of papers citing papers by Gary Slater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Slater

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Slater. A scholar is included among the top collaborators of Gary Slater 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 Gary Slater. Gary Slater 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.
Driller, Matthew, Shona L. Halson, Cheri D. Mah, et al.. (2025). Teamwork Makes the Dream Work: Who Should Be Managing Athletes on Matters Related to Sleep?. Sports Medicine. 55(9). 2065–2071. 1 indexed citations
2.
Slater, Gary, et al.. (2025). Case Series: Management of Exercise-Associated Gastrointestinal Symptoms in Endurance Athletes Using a High-Carbohydrate Low-FODMAP Therapeutic Intervention. International Journal of Sport Nutrition and Exercise Metabolism. 35(4). 337–354.
3.
Condo, Dominique, et al.. (2024). Commonly Used Indicators of Low Energy Availability Risk Fail to Identify Female Amateur Soccer Players With Measured Low Energy Availability During Preseason. International Journal of Sport Nutrition and Exercise Metabolism. 34(6). 387–396.
4.
5.
Mitchell, Lachlan, Grant M. Duthie, Kate L. Pumpa, et al.. (2024). Methods to Assess Energy Expenditure of Resistance Exercise: A Systematic Scoping Review. Sports Medicine. 54(9). 2357–2372. 3 indexed citations
6.
McKay, Alannah K. A., Anni Vanhatalo, Andrew M. Jones, et al.. (2023). Low Carbohydrate, High Fat Diet Alters the Oral Microbiome without Negating the Nitrite Response to Beetroot Juice Supplementation. Nutrients. 15(24). 5123–5123. 8 indexed citations
7.
8.
Badenhorst, Claire E., et al.. (2023). Athlete Preferences for Nutrition Education: Development of and Findings from a Quantitative Survey. Nutrients. 15(11). 2519–2519. 7 indexed citations
9.
Lundy, Bronwen, Monica Klungland Torstveit, Louise M. Burke, et al.. (2022). Screening for Low Energy Availability in Male Athletes: Attempted Validation of LEAM-Q. Nutrients. 14(9). 1873–1873. 28 indexed citations
10.
Costa, Ricardo J. S., et al.. (2021). Development and validation of a questionnaire investigating endurance athletes practices to manage gastrointestinal symptoms around exercise. Nutrition & Dietetics. 78(3). 286–295. 11 indexed citations
11.
Hackett, Daniel, Guy C. Wilson, Lachlan Mitchell, et al.. (2020). Effect of Training Phase on Physical and Physiological Parameters of Male Powerlifters. Sports. 8(8). 106–106. 3 indexed citations
12.
Keating, Shelley E., et al.. (2019). Differences in visceral adipose tissue and biochemical cardiometabolic risk markers in elite rugby union athletes of Caucasian and Polynesian descent. European Journal of Sport Science. 20(5). 691–702. 4 indexed citations
13.
Hind, Karen, et al.. (2018). Same-Day Vs Consecutive-Day Precision Error of Dual-Energy X-Ray Absorptiometry for Interpreting Body Composition Change in Resistance-Trained Athletes. Journal of Clinical Densitometry. 22(1). 104–114. 16 indexed citations
14.
Hind, Karen, Gary Slater, B. Oldroyd, et al.. (2018). Interpretation of Dual-Energy X-Ray Absorptiometry-Derived Body Composition Change in Athletes: A Review and Recommendations for Best Practice. Journal of Clinical Densitometry. 21(3). 429–443. 41 indexed citations
15.
Kelly, Vincent G., et al.. (2016). Prevalence, knowledge and attitudes relating to β-alanine use among professional footballers. Journal of science and medicine in sport. 20(1). 12–16. 21 indexed citations
16.
Mitchell, Lachlan, Janelle Gifford, Daniel Hackett, et al.. (2015). Dietary Intake of Competitive Bodybuilders. Sports Medicine. 45(7). 1041–1063. 81 indexed citations
17.
Nana, Alisa, Gary Slater, Will G. Hopkins, et al.. (2014). Importance of Standardized DXA Protocol for Assessing Physique Changes in Athletes. International Journal of Sport Nutrition and Exercise Metabolism. 26(3). 259–267. 83 indexed citations
18.
Sheppard, Jeremy M., Sophia Nimphius, G. Gregory Haff, et al.. (2013). Development of a Comprehensive Performance-Testing Protocol for Competitive Surfers. International Journal of Sports Physiology and Performance. 8(5). 490–495. 39 indexed citations
19.
Slater, Gary, et al.. (2012). Influence of Sodium Bicarbonate on Performance and Hydration in Lightweight Rowing. International Journal of Sports Physiology and Performance. 7(1). 11–18. 21 indexed citations
20.
Slater, Gary, Angelos E. Papatestas, Gabriel Genkins, Peter Kornfeld, & Steven H. Horowitz. (1978). Thymectomy in patients more than forty years of age with myasthenia gravis.. PubMed. 146(1). 54–6. 13 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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