Andrew Garnham

116 papers receiving 4.5k citations

Peers

Andrew Garnham
Comparison fields: 5 of 122
  • Rehabilitation 860
  • Cell Biology 1.6k
  • Orthopedics and Sports Medicine 757
  • Complementary and alternative medicine 712
  • Physiology 1.9k
Replace Glenn K. McConell with:
Glenn K. McConell Australia
Brendan Egan Ireland
Matthew P. Harber United States
Nigel K. Stepto Australia
Adeel Safdar Canada
Craig A. Goodman Australia
Juha J. Hulmi Finland
Cameron J. Mitchell Canada
Henning Wackerhage Germany
Motoyuki Iemitsu Japan
Andrew Garnham relative to Glenn K. McConell Australia Glenn K. McConell's profile →
Citations per field
00.5×1.5×2.3×
Glenn K. McConell · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Andrew Garnham, 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 Andrew Garnham Line = papers co-authored together Andrew Garnham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008349
2 2009222
3 2008213
4 2001213
5 2001209
6 2005192
7
Muscle atrophy in patients with Type 2 Diabetes Mellitus: roles of inflammatory pathways, physical activity and exercise.
2018187
8 2000157
9 200992
10 200892
11 200988
12 200988
13 201484
14 201079
15 201179
16 201271
17 200368
18 200464
19 202164
20 201861

About Andrew Garnham

Andrew Garnham is a scholar working on Cell Biology, Rehabilitation, Physiology, Orthopedics and Sports Medicine and Molecular Biology, having authored 122 papers that have together received 4.6k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (50 papers), Exercise and Physiological Responses (31 papers), Cardiovascular and exercise physiology (21 papers), Sports Performance and Training (20 papers), Adipose Tissue and Metabolism (19 papers), Muscle Physiology and Disorders (10 papers), Thermoregulation and physiological responses (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Rehabilitation (860 citations), Cell Biology (1.6k citations), Orthopedics and Sports Medicine (757 citations), Complementary and alternative medicine (712 citations) and Physiology (1.9k citations). Andrew Garnham has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Mark Hargreaves, Mark A. Febbraio, Sean L. McGee, John A. Hawley, Rodney J. Snow, Kirsten F. Howlett, Martin J. Gibala, David Cameron‐Smith, Louise M. Burke and Itamar Levinger. Their work appears in journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise, The Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Frontiers in Physiology.

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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