Charles E. Yesalis

64 papers receiving 2.7k citations

Peers

Charles E. Yesalis
Comparison fields: 5 of 142
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Behavioral Neuroscience 144
  • Cell Biology 619
  • Applied Psychology 147
  • Pharmacy 108
Replace Michael S. Bahrke with:
Michael S. Bahrke United States
Elena M. Kouri United States
Joanne A. Harrold United Kingdom
José R. Fernández United States
Christel Larsson Sweden
Marie Kunešová Czechia
Larry A. Tucker United States
Susan L. Johnson United States
Dorota B Pawlak United States
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Charles E. Yesalis relative to Michael S. Bahrke United States Michael S. Bahrke's profile →
Citations per field
00.5×2×4×6.4×
Michael S. Bahrke · 1×
Citations per year

Countries citing papers authored by Charles E. Yesalis

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Yesalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles E. Yesalis. 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 Charles E. Yesalis. The network helps show where Charles E. Yesalis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004380
2 1993272
3 1995243
4 2004210
5 2000142
6 1995125
7 1990121
8 1997109
9 1989102
10 2000102
11 199899
12 199694
13 199179
14 198875
15 199961
16
Performance-enhancing substances in sport and exercise
200259
17 198947
18 199240
19 199238
20 199437

About Charles E. Yesalis

Charles E. Yesalis is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Orthopedics and Sports Medicine, General Health Professions and Molecular Biology, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (27 papers), Muscle metabolism and nutrition (11 papers), Sports Performance and Training (9 papers), Sexual Differentiation and Disorders (7 papers), Healthcare Policy and Management (6 papers), Pharmacological Effects and Assays (5 papers), Doping in Sports (5 papers) and Global Health Workforce Issues (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Behavioral Neuroscience (144 citations), Cell Biology (619 citations), Applied Psychology (147 citations) and Pharmacy (108 citations). Charles E. Yesalis has collaborated with scholars based in United States, Vietnam and Australia. Frequent co-authors include Michael S. Bahrke, James E. Wright, Lina A. Ricciardelli, Guy Cafri, Marita P. McCabe, John Hoberman, Linda Smolak, Alan D. Rogol, Andrea N. Kopstein and Kirk J. Brower. Their work appears in journals such as Medical Care, The Physician and Sportsmedicine, Sports Medicine, American Journal of Public Health and The American Journal of Sports Medicine.

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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