Chris McLellan

586 total citations
35 papers, 437 citations indexed

About

Chris McLellan is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Rehabilitation. According to data from OpenAlex, Chris McLellan has authored 35 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Orthopedics and Sports Medicine, 8 papers in Complementary and alternative medicine and 6 papers in Rehabilitation. Recurrent topics in Chris McLellan's work include Sports Performance and Training (27 papers), Sports injuries and prevention (21 papers) and Cardiovascular and exercise physiology (8 papers). Chris McLellan is often cited by papers focused on Sports Performance and Training (27 papers), Sports injuries and prevention (21 papers) and Cardiovascular and exercise physiology (8 papers). Chris McLellan collaborates with scholars based in Australia, United Kingdom and France. Chris McLellan's co-authors include Dale I Lovell, Belinda R. Beck, Ross C. Cuneo, Benjamin K. Weeks, Billy T. Hulin, Tim J. Gabbett, Andrew Townshend, Jennifer Wallace, Morgan Williams and Sean Williams and has published in prestigious journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Toxicological Sciences.

In The Last Decade

Chris McLellan

35 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris McLellan Australia 12 294 83 72 61 55 35 437
Tomasz Gabryś Poland 11 284 1.0× 98 1.2× 60 0.8× 53 0.9× 63 1.1× 48 441
Daniel Bok Croatia 11 236 0.8× 122 1.5× 65 0.9× 64 1.0× 32 0.6× 27 385
Neil Gibson United Kingdom 11 273 0.9× 141 1.7× 49 0.7× 58 1.0× 40 0.7× 30 454
Boye Welde Norway 16 437 1.5× 210 2.5× 87 1.2× 85 1.4× 39 0.7× 42 624
Domenico Martone Italy 14 322 1.1× 139 1.7× 91 1.3× 74 1.2× 27 0.5× 26 523
Courtney McGowan United States 8 401 1.4× 154 1.9× 74 1.0× 30 0.5× 85 1.5× 18 557
Steven E. Martin United States 11 223 0.8× 128 1.5× 148 2.1× 104 1.7× 62 1.1× 34 483
Jerónimo García-Romero Spain 11 142 0.5× 60 0.7× 49 0.7× 29 0.5× 75 1.4× 46 369
Kosmas Christoulas Greece 13 218 0.7× 83 1.0× 59 0.8× 70 1.1× 45 0.8× 40 423
Amira Zouita Tunisia 11 285 1.0× 40 0.5× 60 0.8× 36 0.6× 35 0.6× 28 440

Countries citing papers authored by Chris McLellan

Since Specialization
Citations

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

Fields of papers citing papers by Chris McLellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris McLellan

This figure shows the co-authorship network connecting the top 25 collaborators of Chris McLellan. A scholar is included among the top collaborators of Chris McLellan 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 Chris McLellan. Chris McLellan 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.
2.
Hackett, Daniel, Lachlan Mitchell, Jillian Clarke, et al.. (2021). Relationship between echocardiogram and physical parameters in experienced resistance trainers: a pilot study. The Journal of Sports Medicine and Physical Fitness. 61(9). 1290–1300. 2 indexed citations
3.
MacKenzie‐Shalders, Kristen, et al.. (2021). Increased carbohydrate availability effects energy and nutrient periodisation of professional male athletes from the Australian Football League. Applied Physiology Nutrition and Metabolism. 46(12). 1510–1516. 4 indexed citations
4.
Bird, Stephen P., et al.. (2020). Basketball New Zealand guidelines: safe return to training for players in preparation for a condensed National Basketball League season following Covid-19 restrictions. University of Southern Queensland ePrints (University of Southern Queensland). 2 indexed citations
5.
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
6.
Kerhervé, Hugo A., et al.. (2020). Similar rates of fat oxidation during graded submaximal exercise in women of different body composition. PLoS ONE. 15(11). e0242551–e0242551. 4 indexed citations
7.
Kerhervé, Hugo A., et al.. (2020). Body composition influences blood pressure during submaximal graded test in women. Obesity Research & Clinical Practice. 14(5). 462–466. 3 indexed citations
8.
Kerhervé, Hugo A., David G. Stewart, Chris McLellan, & Dale I Lovell. (2020). Fatigue Indices and Perceived Exertion Highlight Ergometer Specificity for Repeated Sprint Ability Testing. Frontiers in Sports and Active Living. 2. 45–45. 9 indexed citations
10.
Canetti, Elisa, et al.. (2016). Comparison of capillary and venous blood in the analysis of concentration and function of leucocyte sub-populations. European Journal of Applied Physiology. 116(8). 1583–1593. 4 indexed citations
11.
Climstein, Mike, et al.. (2015). Effects of Long-Term Surfing on Bone Health in Mature-Aged Males. International Journal of Aquatic Research and Education. 9(1). 24–37. 4 indexed citations
12.
McLellan, Chris, et al.. (2015). The Effect of High Intensity Intermittent Exercise on Power Output for the Upper Body. Sports. 3(3). 136–144. 2 indexed citations
13.
Lovell, Dale I, et al.. (2013). WITHDRAWN: Upper and lower body anaerobic performance of semi-elite Rugby League players. Journal of sport and health science. 2 indexed citations
14.
Lovell, Dale I, et al.. (2013). The contribution of energy systems during the upper body Wingate anaerobic test. Applied Physiology Nutrition and Metabolism. 38(2). 216–219. 24 indexed citations
15.
Weeks, Benjamin K., et al.. (2012). Seasonal change in bone, muscle and fat in professional rugby league players and its relationship to injury: a cohort study. BMJ Open. 2(6). e001400–e001400. 57 indexed citations
16.
Lovell, Dale I, et al.. (2012). The aerobic performance of trained and untrained handcyclists with spinal cord injury. European Journal of Applied Physiology. 112(9). 3431–3437. 34 indexed citations
17.
Lovell, Dale I, Ross C. Cuneo, Jennifer Wallace, & Chris McLellan. (2012). The hormonal response of older men to sub-maximum aerobic exercise: The effect of training and detraining. Steroids. 77(5). 413–418. 39 indexed citations
18.
Lovell, Dale I, et al.. (2011). Does Upper Body Strength and Power Influence Upper Body Wingate Performance in Men and Women?. International Journal of Sports Medicine. 32(10). 771–775. 15 indexed citations
19.
Lovell, Dale I, et al.. (2011). A Comparison of Asynchronous and Synchronous Arm Cranking During the Wingate Test. International Journal of Sports Physiology and Performance. 6(3). 419–426. 5 indexed citations
20.
McLellan, Chris, et al.. (2001). Spatial Glutathione and Cysteine Distribution and Chemical Modulation in the Early Organogenesis-Stage Rat Conceptus in Utero. Toxicological Sciences. 62(1). 92–102. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026