Gerald D. Tharp

1.1k citations
32 papers · 894 · h-index 17

Impact in

Papers in

Gerald D. Tharp

32 papers receiving 783 citations

Peers

Gerald D. Tharp
Comparison fields: 5 of 108
  • Orthopedics and Sports Medicine 349
  • Rehabilitation 225
  • Behavioral Neuroscience 65
  • Physiology 356
  • Complementary and alternative medicine 96
Replace Freddy Maso with:
Freddy Maso France
Stewart J. Laing United Kingdom
W. Lormes Germany
Rod W. Fry Australia
R Stupnicki Poland
Edmund O. Acevedo United States
R. Welsh United States
Beverly A. Bullen United States
M. Sagnol France
Noel D. Duncan Australia
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Citations per field
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Citations per year

Countries citing papers authored by Gerald D. Tharp

Since Specialization
Citations

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

Fields of papers citing papers by Gerald D. Tharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald D. Tharp. 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 Gerald D. Tharp. The network helps show where Gerald D. Tharp may publish in the future.

Co-authors

The 24 scholars most cited alongside Gerald D. Tharp, 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 Gerald D. Tharp Line = papers co-authored together Gerald D. Tharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990105
2 198298
3 197580
4 198177
5 199164
6 199149
7 198746
8
Estimation of body density in adolescent athletes.
198445
9 198545
10
Validity of anthropometric equations for the estimation of body density in adolescent athletes.
198441
11 199034
12 196531
13 197526
14 198422
15 198220
16 198418
17 199017
18
Experiments in Physiology
198016
19 199013
20 19669

About Gerald D. Tharp

Gerald D. Tharp is a scholar working on Physiology, Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Rehabilitation and Complementary and alternative medicine, having authored 32 papers that have together received 894 indexed citations. Recurring topics across this work include Sports Performance and Training (10 papers), Body Composition Measurement Techniques (7 papers), Exercise and Physiological Responses (4 papers), Muscle metabolism and nutrition (4 papers), Cardiovascular and exercise physiology (4 papers), Adipose Tissue and Metabolism (3 papers), Sports injuries and prevention (3 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (349 citations), Rehabilitation (225 citations), Behavioral Neuroscience (65 citations), Physiology (356 citations) and Complementary and alternative medicine (96 citations). Gerald D. Tharp has collaborated with scholars based in United States. Frequent co-authors include Glen O. Johnson, W. Thorland, M. W. Barnes, Terry J. Housh, C J Cisar, Bronston T. Mayes, Wesley E. Sime, Daniel C. Ganster, G. Edgar Folk and Sharon McDowell. Their work appears in journals such as European Journal of Applied Physiology, Medicine & Science in Sports & Exercise, Research Quarterly for Exercise and Sport, Journal of Applied Psychology and Cell and Tissue Research.

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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