Katia Collomp

83 papers receiving 1.9k citations

Peers

Katia Collomp
Comparison fields: 5 of 84
  • Orthopedics and Sports Medicine 605
  • Complementary and alternative medicine 297
  • Pharmacology 427
  • Behavioral Neuroscience 78
  • Animal Science and Zoology 162
Replace Gerard J. Rietjens with:
Gerard J. Rietjens Netherlands
Jeffrey M. Anderson United States
Hamid Arazi Iran
Yitzhak Weinstein Israel
Disa L. Hatfield United States
Louis J. Marchitelli United States
Jay T. Kearney United States
Valentín E. Fernández-Elías Spain
Steven E. Riechman United States
Martyn R. Rubin United States
Katia Collomp relative to Gerard J. Rietjens Netherlands Gerard J. Rietjens's profile →
Citations per field
00.5×5×11.2×
Gerard J. Rietjens · 1×
Citations per year

Countries citing papers authored by Katia Collomp

Since Specialization
Citations

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

Fields of papers citing papers by Katia Collomp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katia Collomp. 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 Katia Collomp. The network helps show where Katia Collomp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992167
2 1991136
3 1992129
4 2005101
5 199081
6 200679
7 199257
8 200550
9 200049
10 199147
11 200742
12 199238
13 200538
14 200738
15 200738
16 200537
17 200736
18 199334
19 200034
20 201632

About Katia Collomp

Katia Collomp is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Behavioral Neuroscience, having authored 86 papers that have together received 2k indexed citations. Recurring topics across this work include Sports Performance and Training (31 papers), Doping in Sports (25 papers), Cardiovascular and exercise physiology (20 papers), Adrenal Hormones and Disorders (14 papers), Pharmacological Effects and Assays (13 papers), Exercise and Physiological Responses (10 papers), Hormonal and reproductive studies (9 papers) and Stress Responses and Cortisol (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (605 citations), Complementary and alternative medicine (297 citations), Pharmacology (427 citations), Behavioral Neuroscience (78 citations) and Animal Science and Zoology (162 citations). Katia Collomp has collaborated with scholars based in France, Canada and New Zealand. Frequent co-authors include Ch. Prefaut, Saı̈d Ahmaı̈di, Michel Audran, Jacques de Ceaurriz, Alexandre Arlettaz, Jean‐Claude Chatard, Bénédicte Le Panse, Daniel Courteix, H. Portier and Nathalie Rieth. Their work appears in journals such as European Journal of Applied Physiology, International Journal of Sports Medicine, Medicine & Science in Sports & Exercise, British Journal of Sports Medicine and Hormone and Metabolic 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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