Raphaël Faiss

61 papers receiving 1.7k citations

Peers

Raphaël Faiss
Comparison fields: 5 of 83
  • Complementary and alternative medicine 545
  • Genetics 1.2k
  • Endocrine and Autonomic Systems 210
  • Orthopedics and Sports Medicine 261
  • Rehabilitation 141
Replace Jon Peter Wehrlin with:
Jon Peter Wehrlin Switzerland
Nadine Wachsmuth Germany
Beth A. Beidleman United States
Miłośz Czuba Poland
Maria Koskolou Greece
B Friedmann Germany
Jonas Saugy Switzerland
P. R. Bender United States
Guillermo Olcina Spain
Stefanie Keiser Switzerland
Raphaël Faiss relative to Jon Peter Wehrlin Switzerland Jon Peter Wehrlin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raphaël Faiss

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Faiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013227
2 2013167
3 2017150
4 2012147
5 2013111
6 201478
7 201472
8 201558
9 201449
10 201645
11 201540
12 201540
13 201739
14 201638
15 201535
16 202033
17 201231
18 201530
19 201327
20 201426

About Raphaël Faiss

Raphaël Faiss is a scholar working on Genetics, Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Sociology and Political Science, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include High Altitude and Hypoxia (38 papers), Hormonal and reproductive studies (14 papers), Cardiovascular and exercise physiology (14 papers), Doping in Sports (10 papers), Muscle metabolism and nutrition (8 papers), Sports Performance and Training (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Erythropoietin and Anemia Treatment (6 papers). The work is most often cited by research in Complementary and alternative medicine (545 citations), Genetics (1.2k citations), Endocrine and Autonomic Systems (210 citations), Orthopedics and Sports Medicine (261 citations) and Rehabilitation (141 citations). Raphaël Faiss has collaborated with scholars based in Switzerland, France and Poland. Frequent co-authors include Grégoire P. Millet, Olivier Girard, Vincent Pialoux, O. Dériaz, Jonas Saugy, Franck Brocherie, Jean-Marc Vésin, Bertrand Léger, Laurent Schmitt and Neil Robinson. Their work appears in journals such as Drug Testing and Analysis, Medicine & Science in Sports & Exercise, International Journal of Sports Physiology and Performance, Frontiers in Sports and Active Living and PLoS ONE.

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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