David R. Pearson

69 papers receiving 1.7k citations

Peers

David R. Pearson
Comparison fields: 5 of 102
  • Orthopedics and Sports Medicine 770
  • Rehabilitation 310
  • Cell Biology 684
  • Complementary and alternative medicine 202
  • Physiology 277
Replace Bruno Manfredini Baroni with:
Bruno Manfredini Baroni Brazil
Gerard A. Malanga United States
Mark D. Schuenke United States
João Luíz Quagliotti Durigan Brazil
Jean‐François Kaux Belgium
Kai Nyman Finland
Timothy J. Quinn United States
Brittany R. Counts United States
Dan Ogborn Canada
K M Khan Australia
David R. Pearson relative to Bruno Manfredini Baroni Brazil Bruno Manfredini Baroni's profile →
Citations per field
00.5×5.3×
Bruno Manfredini Baroni · 1×
Citations per year

Countries citing papers authored by David R. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by David R. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Pearson. 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 David R. Pearson. The network helps show where David R. Pearson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999260
2 2006227
3 1990128
4 1991104
5 198990
6 200676
7 199575
8 201073
9 198846
10 198243
11 199243
12 199943
13 201842
14 200233
15 199431
16 201630
17 199030
18 198430
19 202128
20 202227

About David R. Pearson

David R. Pearson is a scholar working on Rheumatology, Cell Biology, Orthopedics and Sports Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (16 papers), Sports Performance and Training (14 papers), Autoimmune Bullous Skin Diseases (11 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Cutaneous lymphoproliferative disorders research (7 papers), Systemic Lupus Erythematosus Research (6 papers), Sports injuries and prevention (6 papers) and Cardiovascular and exercise physiology (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (770 citations), Rehabilitation (310 citations), Cell Biology (684 citations), Complementary and alternative medicine (202 citations) and Physiology (277 citations). David R. Pearson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include D. L. Costill, W. J. Fink, William J. Kraemer, David D. Pascoe, Scott Trappe, Robert A. Robergs, William J. Fink, Bruce W. Craig, Victoria P. Werth and Brandon K. Doan. Their work appears in journals such as The Journal of Strength and Conditioning Research, Journal of Applied Physiology, Journal of Investigative Dermatology, Medicine & Science in Sports & Exercise and Journal of the American Academy of Dermatology.

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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