Justin M. Percival

1.8k citations
28 papers · 1.4k indexed · h-index 20

Justin M. Percival

27 papers receiving 1.4k citations

Peers

Justin M. Percival
Comparison fields: 5 of 85
  • Cell Biology 441
  • Rehabilitation 141
  • Cardiology and Cardiovascular Medicine 371
  • Aging 27
  • Molecular Biology 997
Replace Daniela Danieli‐Betto with:
Daniela Danieli‐Betto Italy
Stephanie A. Parsons United States
Jae‐Sung You United States
Jill A. Rafael‐Fortney United States
Othon Gervásio Australia
Richard A. Zuellig Switzerland
Ghassan Yehia United States
Yoshihiro Wakayama Japan
M. Cantini Italy
Jitandrakumar R. Patel United States
Justin M. Percival relative to Daniela Danieli‐Betto Italy Daniela Danieli‐Betto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Justin M. Percival

Since Specialization
Citations

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

Fields of papers citing papers by Justin M. Percival

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin M. Percival. 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 Justin M. Percival. The network helps show where Justin M. Percival may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20207
2 20187
3 201819
4 201829
5 20184
6 201617
7 201635
8 20151
9 2012119
10 201126
11 2010109
12 20092
13 20081
14 200746
15 200628
16 200373
17 200060
18 199939
19 199997
20 199775

About Justin M. Percival

Justin M. Percival is a scholar working on Aging, Complementary and alternative medicine and Rehabilitation, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Cardiomyopathy and Myosin Studies (5 papers), Cellular transport and secretion (4 papers), Adipose Tissue and Metabolism (4 papers), Cardiovascular and exercise physiology (4 papers), Mitochondrial Function and Pathology (3 papers), Exercise and Physiological Responses (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cell Biology (441 citations), Rehabilitation (141 citations) and Cardiology and Cardiovascular Medicine (371 citations). Justin M. Percival has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Stanley C. Froehner, Peter W. Gunning, Marvin E. Adams, Ron P. Weinberger, Joseph A. Beavo, Jennifer L. Stow, Kirsten Heimann, Galina Schevzov, Peter L. Jeffrey and Nicole S. Bryce. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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