Cameron J. Mitchell

5.1k total citations · 1 hit paper
92 papers, 3.9k citations indexed

About

Cameron J. Mitchell is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Cameron J. Mitchell has authored 92 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cell Biology, 41 papers in Molecular Biology and 32 papers in Physiology. Recurrent topics in Cameron J. Mitchell's work include Muscle metabolism and nutrition (41 papers), Muscle Physiology and Disorders (23 papers) and Sports Performance and Training (23 papers). Cameron J. Mitchell is often cited by papers focused on Muscle metabolism and nutrition (41 papers), Muscle Physiology and Disorders (23 papers) and Sports Performance and Training (23 papers). Cameron J. Mitchell collaborates with scholars based in Canada, New Zealand and United States. Cameron J. Mitchell's co-authors include Stuart M. Phillips, Tyler A. Churchward‐Venne, Steven K. Baker, David Cameron‐Smith, Nicholas A. Burd, Randall F. D’Souza, Daniel W. D. West, Leigh Breen, Nina Zeng and Gianni Parise and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Cameron J. Mitchell

85 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Resistance exercise load does not determine training-mediated hypertrophic gains in young men

2012 494 citations Cameron J. Mitchell, Nicholas A. Burd et al. Journal of Applied Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cameron J. Mitchell Canada	34	1.9k	1.5k	1.3k	1.3k	608	92	3.9k
Juha J. Hulmi Finland	35	1.3k 0.7×	1.7k 1.1×	741 0.6×	1.5k 1.2×	809 1.3×	97	3.7k
Andrew Garnham Australia	39	1.8k 0.9×	2.2k 1.5×	927 0.7×	1.4k 1.1×	1.0k 1.7×	121	4.6k
Tim Snijders Netherlands	42	2.2k 1.2×	2.6k 1.7×	840 0.6×	2.4k 1.9×	1.0k 1.7×	94	5.3k
Vernon G. Coffey Australia	31	1.8k 1.0×	1.3k 0.9×	904 0.7×	992 0.8×	774 1.3×	62	3.0k
Rodney J. Snow Australia	33	1.8k 0.9×	1.4k 0.9×	1.0k 0.8×	840 0.7×	659 1.1×	72	3.5k
Jeffrey F. Horowitz United States	35	2.3k 1.2×	3.4k 2.3×	982 0.8×	1.1k 0.9×	635 1.0×	89	5.8k
James D. Fluckey United States	33	942 0.5×	1.2k 0.8×	659 0.5×	1.0k 0.8×	454 0.7×	86	2.7k
Donny M. Camera Australia	27	1.4k 0.7×	1.7k 1.1×	678 0.5×	797 0.6×	715 1.2×	65	3.1k
Alan Hayes Australia	34	1.1k 0.6×	1.4k 0.9×	578 0.4×	1.3k 1.0×	637 1.0×	129	3.6k
Chris McGlory Canada	34	1.9k 1.0×	1.7k 1.1×	889 0.7×	930 0.7×	625 1.0×	89	3.4k

Countries citing papers authored by Cameron J. Mitchell

Since Specialization

Citations

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

Fields of papers citing papers by Cameron J. Mitchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron J. Mitchell. 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 Cameron J. Mitchell. The network helps show where Cameron J. Mitchell may publish in the future.

Co-authorship network of co-authors of Cameron J. Mitchell

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

All Works

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20 of 20 papers shown

Losciale, Justin M., Bruce Lin, Marine Théret, et al.. (2025). Quadriceps Morphology 6‐ to 60‐Months After Anterior Cruciate Ligament Tear. Scandinavian Journal of Medicine and Science in Sports. 35(7). e70109–e70109.

Lim, Changhyun, James McKendry, Matthew Lees, et al.. (2025). Turning over new ideas in human skeletal muscle proteostasis: What do we know and where to from here?. Experimental Physiology. 1 indexed citations

Schweitzer, A., et al.. (2025). Collagen remodeling increases after acute resistance exercise in healthy skeletal muscle irrespective of age. American Journal of Physiology-Cell Physiology. 329(1). C68–C81.

Mcleod, Jonathan C., Changhyun Lim, Tanner Stokes, et al.. (2024). Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling. PubMed. 1(4). ugae016–ugae016. 2 indexed citations

Mitchell, Cameron J., et al.. (2024). Development and Implementation of the “Exercise is Medicine” Elective at an Osteopathic Medical School. Medical Science Educator. 35(1). 227–232.

Losciale, Justin M., Christina Le, Leo Lu, et al.. (2024). Strength Setbacks: The Impact of Youth Sport-Related Knee Joint Injuries on Thigh Muscle Strength. A 24-Month Prospective Cohort Study. Journal of Orthopaedic and Sports Physical Therapy. 55(2). 137–147. 1 indexed citations

D’Souza, Randall F., Vandré C. Figueiredo, James F. Markworth, et al.. (2023). Cold water immersion in recovery following a single bout resistance exercise suppresses mechanisms of miRNA nuclear export and maturation. Physiological Reports. 11(15). e15784–e15784. 2 indexed citations

Braakhuis, Andrea, et al.. (2022). Mitochondria-targeted antioxidant supplementation does not affect muscle soreness or recovery of maximal voluntary isometric contraction force following muscle-damaging exercise in untrained men: a randomized clinical trial. Applied Physiology Nutrition and Metabolism. 47(7). 762–774. 5 indexed citations

Zeng, Nina, Randall F. D’Souza, Vandré C. Figueiredo, et al.. (2021). Daily protein supplementation attenuates immobilization-induced blunting of postabsorptive muscle mTORC1 activation in middle-aged men. American Journal of Physiology-Cell Physiology. 320(4). C591–C601. 7 indexed citations

10.

Braakhuis, Andrea, et al.. (2021). Mitochondria-targeted antioxidant supplementation improves 8 km time trial performance in middle-aged trained male cyclists. Journal of the International Society of Sports Nutrition. 18(1). 58–58. 18 indexed citations

11.

Figueiredo, Vandré C., Randall F. D’Souza, Douglas W. Van Pelt, et al.. (2020). Ribosome biogenesis and degradation regulate translational capacity during muscle disuse and reloading. Journal of Cachexia Sarcopenia and Muscle. 12(1). 130–143. 40 indexed citations

12.

Woodhead, Jonathan S. T., Randall F. D’Souza, Christopher P. Hedges, et al.. (2020). High-intensity interval exercise increases humanin, a mitochondrial encoded peptide, in the plasma and muscle of men. Journal of Applied Physiology. 128(5). 1346–1354. 45 indexed citations

13.

Pham, Toan, Randall F. D’Souza, Ravi Narang, et al.. (2020). MitoQ and CoQ10 supplementation mildly suppresses skeletal muscle mitochondrial hydrogen peroxide levels without impacting mitochondrial function in middle-aged men. European Journal of Applied Physiology. 120(7). 1657–1669. 36 indexed citations

14.

Mitchell, Sarah M., Cameron J. Mitchell, Amber M. Milan, et al.. (2020). A period of 10 weeks of increased protein consumption does not alter faecal microbiota or volatile metabolites in healthy older men: a randomised controlled trial. Journal of Nutritional Science. 9. e25–e25. 13 indexed citations

15.

Mitchell, Sarah M., Amber M. Milan, Cameron J. Mitchell, et al.. (2019). Protein Intake at Twice the RDA in Older Men Increases Circulatory Concentrations of the Microbiome Metabolite Trimethylamine-N-Oxide (TMAO). Nutrients. 11(9). 2207–2207. 31 indexed citations

16.

D’Souza, Randall F., Jonathan S. T. Woodhead, Nina Zeng, et al.. (2018). Circulatory exosomal miRNA following intense exercise is unrelated to muscle and plasma miRNA abundances. American Journal of Physiology-Endocrinology and Metabolism. 315(4). E723–E733. 97 indexed citations

17.

Hedges, Christopher P., Jonathan S. T. Woodhead, Cameron J. Mitchell, et al.. (2018). Peripheral blood mononuclear cells do not reflect skeletal muscle mitochondrial function or adaptation to high-intensity interval training in healthy young men. Journal of Applied Physiology. 126(2). 454–461. 38 indexed citations

18.

Mitchell, Cameron J., Randall F. D’Souza, William Schierding, et al.. (2018). Identification of human skeletal muscle miRNA related to strength by high-throughput sequencing. Physiological Genomics. 50(6). 416–424. 30 indexed citations

19.

Morton, Robert W., Sara Y. Oikawa, Stuart M. Phillips, Michaela C. Devries, & Cameron J. Mitchell. (2015). Self–Myofascial Release: No Improvement of Functional Outcomes in “Tight” Hamstrings. International Journal of Sports Physiology and Performance. 11(5). 658–663. 12 indexed citations

20.

Molnár, Ferenc, et al.. (2003). Rodgers & Hammerstein's Carousel. 1 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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