Sean McKellar

6 papers receiving 965 citations

Sean McKellar's Hit Papers

Systematic review and meta‐analysis of protein intake to support muscle mass and function in healthy adults 2022 · 152 citations
1520+3+6Years since publication250500750

Peers

Sean McKellar
Comparison fields: 5 of 84
  • Cell Biology 559
  • Orthopedics and Sports Medicine 210
  • Rehabilitation 120
  • Physiology 393
  • Complementary and alternative medicine 47
Replace Menno Henselmans with:
Menno Henselmans United States
Michael Borack United States
Scott Schutzler United States
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Håvard Hamarsland Norway
Amadeo F. Salvador United States
Matthew A. Pikosky United States
Anya Ellerbroek United States
Changhyun Lim Canada
Kasper Dideriksen Denmark
Sean McKellar relative to Menno Henselmans United States Menno Henselmans's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Sean McKellar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sean McKellar Line = papers co-authored together Sean McKellar links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
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
Hit paper breakdown →
2017763
2
Systematic review and meta‐analysis of protein intake to support muscle mass and function in healthy adults
Hit paper breakdown →
2022152
3 201930
4 201826
5 20195
6 20221
7 20250

About Sean McKellar

Sean McKellar is a scholar working on Cell Biology, Physiology, Orthopedics and Sports Medicine, Surgery and Molecular Biology, having authored 7 papers that have together received 977 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (5 papers), Sports Performance and Training (2 papers), Nerve Injury and Rehabilitation (1 paper), Obesity, Physical Activity, Diet (1 paper), Shoulder and Clavicle Injuries (1 paper), Muscle activation and electromyography studies (1 paper), Cardiovascular and exercise physiology (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Cell Biology (559 citations), Orthopedics and Sports Medicine (210 citations), Rehabilitation (120 citations), Physiology (393 citations) and Complementary and alternative medicine (47 citations). Sean McKellar has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Stuart M. Phillips, Robert W. Morton, Michaela C. Devries, Menno Henselmans, Kevin T. Murphy, Alan A. Aragon, Laura Banfield, Eric R. Helms, JAMES KRIEGER and Brad J. Schöenfeld. Their work appears in journals such as British Journal of Sports Medicine, The Journal of Physiology, Current Reviews in Musculoskeletal Medicine, Frontiers in Nutrition and Journal of Cachexia Sarcopenia and Muscle.

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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