Sean McKellar

1.3k total citations · 2 hit papers
7 papers, 927 citations indexed

About

Sean McKellar is a scholar working on Cell Biology, Physiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Sean McKellar has authored 7 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 3 papers in Physiology and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in Sean McKellar's work include Muscle metabolism and nutrition (5 papers), Sports Performance and Training (3 papers) and Diet and metabolism studies (2 papers). Sean McKellar is often cited by papers focused on Muscle metabolism and nutrition (5 papers), Sports Performance and Training (3 papers) and Diet and metabolism studies (2 papers). Sean McKellar collaborates with scholars based in Canada, United States and United Kingdom. Sean McKellar's co-authors include Stuart M. Phillips, Robert W. Morton, Eric R. Helms, Alan A. Aragon, Michaela C. Devries, Menno Henselmans, JAMES KRIEGER, Kevin T. Murphy, Brad J. Schöenfeld and Laura Banfield and has published in prestigious journals such as The Journal of Physiology, British Journal of Sports Medicine and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Sean McKellar

6 papers receiving 917 citations

Hit Papers

A systematic review, meta-analysis and meta-regression of... 2017 2026 2020 2023 2017 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean McKellar Canada 5 635 509 287 164 154 7 927
Menno Henselmans United States 9 631 1.0× 454 0.9× 403 1.4× 185 1.1× 133 0.9× 17 997
Michael Borack United States 12 429 0.7× 337 0.7× 148 0.5× 134 0.8× 85 0.6× 17 714
Jakob Agergaard Denmark 14 401 0.6× 409 0.8× 129 0.4× 128 0.8× 79 0.5× 29 714
Matthew A. Pikosky United States 14 391 0.6× 328 0.6× 166 0.6× 124 0.8× 168 1.1× 30 656
Floris C. Wardenaar United States 15 483 0.8× 250 0.5× 196 0.7× 190 1.2× 124 0.8× 57 693
Scott Schutzler United States 15 641 1.0× 770 1.5× 92 0.3× 46 0.3× 211 1.4× 27 1.0k
Kasper Dideriksen Denmark 17 291 0.5× 263 0.5× 208 0.7× 111 0.7× 47 0.3× 25 643
Amadeo F. Salvador United States 14 225 0.4× 234 0.5× 152 0.5× 69 0.4× 75 0.5× 40 684
Kristin L. Osterberg United States 10 195 0.3× 425 0.8× 125 0.4× 113 0.7× 85 0.6× 11 617
George Tsalis Greece 16 216 0.3× 259 0.5× 235 0.8× 180 1.1× 45 0.3× 40 747

Countries citing papers authored by Sean McKellar

Since Specialization
Citations

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

Fields of papers citing papers by Sean McKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean McKellar

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

All Works

7 of 7 papers shown
1.
Lees, Matthew, Jonathan C. Mcleod, Robert W. Morton, et al.. (2025). Resistance training load does not determine resistance training‐induced hypertrophy across upper and lower limbs in healthy young males. The Journal of Physiology.
2.
McKellar, Sean, Jeffrey Kay, Muzammil Memon, et al.. (2022). Surgical Soft Tissue Management for Glenohumeral Deformity and Contractures in Brachial Plexus Birth Injury. Current Reviews in Musculoskeletal Medicine. 15(2). 107–120. 1 indexed citations
3.
Nunes, Everson Araújo, Lauren M. Colenso‐Semple, Sean McKellar, et al.. (2022). Systematic review and meta‐analysis of protein intake to support muscle mass and function in healthy adults. Journal of Cachexia Sarcopenia and Muscle. 13(2). 795–810. 141 indexed citations breakdown →
4.
Holloway, Tanya M., Chris McGlory, Sean McKellar, et al.. (2019). A Novel Amino Acid Composition Ameliorates Short-Term Muscle Disuse Atrophy in Healthy Young Men. Frontiers in Nutrition. 6. 105–105. 28 indexed citations
5.
Morton, Robert W., Kevin T. Murphy, Sean McKellar, et al.. (2019). Infographic. The effect of protein supplementation on resistance training-induced gains in muscle mass and strength. British Journal of Sports Medicine. 53(24). 1552–1552. 5 indexed citations
6.
Holloway, Tanya M., Robert W. Morton, Sara Y. Oikawa, et al.. (2018). Microvascular adaptations to resistance training are independent of load in resistance-trained young men. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 315(2). R267–R273. 25 indexed citations
7.
Morton, Robert W., Kevin T. Murphy, Sean McKellar, et al.. (2017). A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. British Journal of Sports Medicine. 52(6). 376–384. 727 indexed citations breakdown →

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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