Charles E. Yesalis

64 papers receiving 2.5k citations

Peers

Charles E. Yesalis
Comparison fields: 5 of 143
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Behavioral Neuroscience 155
  • Cell Biology 694
  • Applied Psychology 205
  • Animal Science and Zoology 249
Replace Michael S. Bahrke with:
Michael S. Bahrke United States
Elena M. Kouri United States
Dominic Sagoe Norway
José R. Fernández United States
Joanne A. Harrold United Kingdom
Vicky Drapeau Canada
Christel Larsson Sweden
Marie Kunešová Czechia
Éva Kovács Hungary
Larry A. Tucker United States
Charles E. Yesalis relative to Michael S. Bahrke United States Michael S. Bahrke's profile →
Citations per field
00.5×1.5×1.9×
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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004348
2 1993254
3 1995232
4 2004193
5 2000141
6 1990115
7 1995109
8 1997104
9 1989100
10 199898
11 200094
12 199683
13 199172
14 198870
15 199962
16
Performance-enhancing substances in sport and exercise
200257
17 198944
18 199237
19 199236
20 200235

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 64 papers that have together received 2.8k 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 (6 papers), Doping in Sports (5 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Behavioral Neuroscience (155 citations), Cell Biology (694 citations), Applied Psychology (205 citations) and Animal Science and Zoology (249 citations). Charles E. Yesalis has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Michael S. Bahrke, James E. Wright, Guy Cafri, Marita P. McCabe, Lina A. Ricciardelli, Linda Smolak, John Hoberman, Andrea N. Kopstein, Alan D. Rogol and Kirk J. Brower. Their work appears in journals such as Medical Care, Sports Medicine, The Physician and Sportsmedicine, 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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