Andrew Garnham

6.1k total citations
121 papers, 4.6k citations indexed

About

Andrew Garnham is a scholar working on Cell Biology, Physiology and Rehabilitation. According to data from OpenAlex, Andrew Garnham has authored 121 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cell Biology, 42 papers in Physiology and 39 papers in Rehabilitation. Recurrent topics in Andrew Garnham's work include Muscle metabolism and nutrition (55 papers), Exercise and Physiological Responses (38 papers) and Sports Performance and Training (28 papers). Andrew Garnham is often cited by papers focused on Muscle metabolism and nutrition (55 papers), Exercise and Physiological Responses (38 papers) and Sports Performance and Training (28 papers). Andrew Garnham collaborates with scholars based in Australia, United States and New Zealand. Andrew Garnham's co-authors include Mark Hargreaves, Mark A. Febbraio, John A. Hawley, Sean L. McGee, Rodney J. Snow, Kirsten F. Howlett, Martin J. Gibala, David Cameron‐Smith, Louise M. Burke and Wee Kian Yeo and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Physiology.

In The Last Decade

Andrew Garnham

113 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Garnham Australia 39 2.2k 1.8k 1.4k 1.0k 927 121 4.6k
Brendan Egan Ireland 30 2.9k 1.3× 1.4k 0.8× 1.9k 1.4× 785 0.8× 638 0.7× 112 5.2k
Glenn K. McConell Australia 43 2.7k 1.2× 1.6k 0.9× 1.7k 1.2× 1.1k 1.1× 932 1.0× 129 5.2k
Henning Wackerhage Germany 33 2.0k 0.9× 2.6k 1.5× 2.3k 1.6× 640 0.6× 808 0.9× 100 5.1k
Niels Ørtenblad Denmark 38 1.7k 0.8× 1.7k 1.0× 1.3k 0.9× 929 0.9× 1.4k 1.5× 113 4.2k
Nigel K. Stepto Australia 42 1.6k 0.7× 1.1k 0.6× 1.1k 0.8× 597 0.6× 968 1.0× 111 5.9k
Jeffrey F. Horowitz United States 35 3.4k 1.5× 2.3k 1.3× 1.1k 0.8× 635 0.6× 982 1.1× 89 5.8k
Rodney J. Snow Australia 33 1.4k 0.6× 1.8k 1.0× 840 0.6× 659 0.6× 1.0k 1.1× 72 3.5k
Adeel Safdar Canada 31 2.8k 1.3× 1.2k 0.7× 1.9k 1.4× 949 0.9× 938 1.0× 49 5.2k
Matthew P. Harber United States 35 2.0k 0.9× 996 0.6× 1.2k 0.8× 569 0.6× 858 0.9× 104 4.4k
Juha J. Hulmi Finland 35 1.7k 0.8× 1.3k 0.7× 1.5k 1.1× 809 0.8× 741 0.8× 97 3.7k

Countries citing papers authored by Andrew Garnham

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Garnham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Garnham

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Garnham. A scholar is included among the top collaborators of Andrew Garnham 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 Andrew Garnham. Andrew Garnham 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.
García-Domínguez, Esther, Andrew Garnham, Kirsten Seale, et al.. (2025). Integrated fibre-specific methylome and proteome profiling of human skeletal muscle across males and females with fibre-type deconvolution. Skeletal Muscle. 15(1). 28–28.
2.
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Botella, Javier, Enrico Perri, Nikeisha J. Caruana, et al.. (2025). Sprint interval exercise disrupts mitochondrial ultrastructure driving a unique mitochondrial stress response and remodelling in men. Nature Communications. 17(1). 71–71.
4.
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Jansons, Paul, Paul A. Della Gatta, Andrew Garnham, et al.. (2024). Bioavailable testosterone and androgen receptor activation, but not total testosterone, are associated with muscle mass and strength in females. The Journal of Physiology. 603(18). 5181–5208. 12 indexed citations
6.
McKenna, Michael J., Aaron C. Petersen, Simon Sostaric, et al.. (2024). Digoxin and exercise effects on skeletal muscle Na+,K+‐ATPase isoform gene expression in healthy humans. Experimental Physiology. 109(11). 1909–1921. 1 indexed citations
7.
Saner, Nicholas J., Adam J. Trewin, Spencer Roberts, et al.. (2024). The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young females. Physiological Genomics. 56(7). 506–518. 1 indexed citations
8.
Yan, Xu, et al.. (2023). Gynostemma Pentaphyllum Increases Exercise Performance and Alters Mitochondrial Respiration and AMPK in Healthy Males. Nutrients. 15(22). 4721–4721. 3 indexed citations
9.
10.
Sostaric, Simon, Aaron C. Petersen, Craig A. Goodman, et al.. (2022). Oral digoxin effects on exercise performance, K+ regulation and skeletal muscle Na+,K+‐ATPase in healthy humans. The Journal of Physiology. 600(16). 3749–3774. 4 indexed citations
11.
Li, Yanchun, Jia Li, Muhammed M. Atakan, et al.. (2021). Methods to match high-intensity interval exercise intensity in hypoxia and normoxia – A pilot study. Journal of Exercise Science & Fitness. 20(1). 70–76. 7 indexed citations
12.
Petersen, Aaron C., Andrew Garnham, James R. Broatch, et al.. (2020). Resistance training upregulates skeletal muscle Na+, K+-ATPase content, with elevations in both α1 and α2, but not β isoforms. European Journal of Applied Physiology. 120(8). 1777–1785. 4 indexed citations
13.
Leckey, Jill J., Matthew J-C Lee, Andrew Garnham, et al.. (2018). Muscle Glycogen Utilization During an Australian Rules Football Game. International Journal of Sports Physiology and Performance. 14(1). 122–124. 12 indexed citations
14.
Hussey, Sophie E., Carrie G. Sharoff, Andrew Garnham, et al.. (2013). Effect of Exercise on the Skeletal Muscle Proteome in Patients with Type 2 Diabetes. Medicine & Science in Sports & Exercise. 45(6). 1069–1076. 41 indexed citations
15.
Ross, Megan L., Shona L. Halson, Katsuhiko Suzuki, et al.. (2010). Cytokine Responses to Carbohydrate Ingestion During Recovery from Exercise-Induced Muscle Injury. Journal of Interferon & Cytokine Research. 30(5). 329–337. 19 indexed citations
16.
Merry, Troy L., Glenn D. Wadley, Christos G. Stathis, et al.. (2010). N‐Acetylcysteine infusion does not affect glucose disposal during prolonged moderate‐intensity exercise in humans. The Journal of Physiology. 588(9). 1623–1634. 35 indexed citations
17.
Coffey, Vernon G., Daniel R. Moore, Nicholas A. Burd, et al.. (2010). Nutrient provision increases signalling and protein synthesis in human skeletal muscle after repeated sprints. European Journal of Applied Physiology. 111(7). 1473–1483. 79 indexed citations
18.
Garnham, Andrew, et al.. (2007). Wrist, hand and finger injuries. Clinics in Sports Medicine. 308–339. 3 indexed citations
19.
Murphy, Kate T., Rodney J. Snow, Aaron C. Petersen, et al.. (2004). Intense exercise up‐regulates Na+,K+‐ATPase isoform mRNA, but not protein expression in human skeletal muscle. The Journal of Physiology. 556(2). 507–519. 57 indexed citations
20.
Garnham, Andrew, et al.. (2004). Skeletal Muscle Total Creatine Content and Creatine Transporter Gene Expression in Vegetarians Prior to and Following Creatine Supplementation. International Journal of Sport Nutrition and Exercise Metabolism. 14(5). 517–531. 42 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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