Raphaël Faiss

2.4k total citations
66 papers, 1.6k citations indexed

About

Raphaël Faiss is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Complementary and alternative medicine. According to data from OpenAlex, Raphaël Faiss has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 20 papers in Pulmonary and Respiratory Medicine and 16 papers in Complementary and alternative medicine. Recurrent topics in Raphaël Faiss's work include High Altitude and Hypoxia (41 papers), Cardiovascular and exercise physiology (16 papers) and Hormonal and reproductive studies (14 papers). Raphaël Faiss is often cited by papers focused on High Altitude and Hypoxia (41 papers), Cardiovascular and exercise physiology (16 papers) and Hormonal and reproductive studies (14 papers). Raphaël Faiss collaborates with scholars based in Switzerland, France and Poland. Raphaël Faiss's co-authors include Grégoire P. Millet, Olivier Girard, Vincent Pialoux, O. Dériaz, Jonas Saugy, Franck Brocherie, Jean-Marc Vésin, Pierre‐Edouard Fournier, Bertrand Léger and Neil Robinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Raphaël Faiss

60 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raphaël Faiss Switzerland 21 1.3k 695 438 331 295 66 1.6k
Jon Peter Wehrlin Switzerland 18 725 0.6× 409 0.6× 265 0.6× 284 0.9× 200 0.7× 33 1.1k
Nathan Townsend Australia 19 504 0.4× 292 0.4× 249 0.6× 183 0.6× 150 0.5× 48 846
Miłośz Czuba Poland 19 458 0.4× 355 0.5× 157 0.4× 373 1.1× 145 0.5× 59 1.2k
Maria Koskolou Greece 17 396 0.3× 734 1.1× 265 0.6× 444 1.3× 617 2.1× 44 1.6k
Beth A. Beidleman United States 20 1.0k 0.8× 139 0.2× 395 0.9× 58 0.2× 148 0.5× 51 1.2k
B Friedmann Germany 18 389 0.3× 296 0.4× 171 0.4× 283 0.9× 138 0.5× 46 1.1k
Jonas Saugy Switzerland 15 393 0.3× 137 0.2× 154 0.4× 127 0.4× 109 0.4× 37 688
P. R. Bender United States 10 505 0.4× 266 0.4× 180 0.4× 57 0.2× 215 0.7× 13 795
Rasmus Damsgaard Denmark 22 283 0.2× 710 1.0× 85 0.2× 485 1.5× 608 2.1× 36 1.7k
Stefanie Keiser Switzerland 17 283 0.2× 203 0.3× 90 0.2× 125 0.4× 205 0.7× 24 763

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-authorship network of co-authors of Raphaël Faiss

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Faiss. A scholar is included among the top collaborators of Raphaël Faiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphaël Faiss. Raphaël Faiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Faiss, Raphaël, et al.. (2025). Effect of repeated sprint training in hypoxia on acute and chronic redox balance modulation. Free Radical Research. 59(1). 1–8.
2.
Faiss, Raphaël, et al.. (2025). A Review of Hypoxen Pharmacology and Potential to Enhance Sports Performance. Drug Testing and Analysis. 17(10). 1896–1911.
3.
Larsen, J.S., et al.. (2025). Haematological adaptations to high‐altitude and heat acclimation training in elite male cyclists. Experimental Physiology. 111(3). 820–833. 1 indexed citations
4.
Faiss, Raphaël, Yvette Dehnes, Geoffrey D. Miller, et al.. (2025). Endocrine and androgenic response to altitude training in professional cyclists. The Journal of Physiology.
5.
Raberin, Antoine, Raphaël Faiss, Vincent Pialoux, et al.. (2024). Accelerated Red Blood Cell Turnover Following Extreme Mountain Ultramarathon?. Medicine & Science in Sports & Exercise. 57(5). 904–911. 1 indexed citations
6.
Sitkowski, Dariusz, et al.. (2024). Predicting Future Athletic Performance in Young Female Road Cyclists Based on Aerobic Fitness and Hematological Variables. International Journal of Sports Physiology and Performance. 19(9). 890–896. 1 indexed citations
7.
Lundby, Carsten, Joar Hansen, Jacob Bejder, et al.. (2024). Yearly intrasubject variability of hematological biomarkers in elite athletes for the Athlete Biological Passport. Drug Testing and Analysis. 16(11). 1285–1294. 2 indexed citations
8.
Saugy, Jonas, et al.. (2023). Prediction of plasma volume and total hemoglobin mass with machine learning. Physiological Reports. 11(19). e15834–e15834. 8 indexed citations
9.
Hopker, James, et al.. (2023). Competitive performance as a discriminator of doping status in elite athletes. Drug Testing and Analysis. 16(5). 473–481. 4 indexed citations
10.
Figueiredo, Miguel de, Jonas Saugy, Martial Saugy, et al.. (2023). A new multimodal paradigm for biomarkers longitudinal monitoring: a clinical application to women steroid profiles in urine and blood. Analytica Chimica Acta. 1267. 341389–341389. 4 indexed citations
11.
Faiss, Raphaël, et al.. (2023). Is Recovery Optimized by Using a Cycle Ergometer Between Ski-Mountaineering Sprints?. International Journal of Sports Physiology and Performance. 18(5). 553–556. 2 indexed citations
12.
Saugy, Jonas, et al.. (2023). Impact of low‐volume blood withdrawal on hematological biomarkers for the athlete biological passport. Drug Testing and Analysis. 16(2). 168–173. 2 indexed citations
13.
Schumacher, Yorck Olaf, et al.. (2019). Does body position before and during blood sampling influence the Athlete Biological Passport variables?. International Journal of Laboratory Hematology. 42(1). 61–67. 7 indexed citations
14.
Hauser, Anna, Jonas Saugy, Laurent Schmitt, et al.. (2017). Individual hemoglobin mass response to normobaric and hypobaric “live high–train low”: A one-year crossover study. Journal of Applied Physiology. 123(2). 387–393. 39 indexed citations
15.
16.
Saugy, Jonas, Laurent Schmitt, Sibylle Fallet, et al.. (2016). Sleep Disordered Breathing During Live High-Train Low in Normobaric Versus Hypobaric Hypoxia. High Altitude Medicine & Biology. 17(3). 233–238. 14 indexed citations
17.
Hopker, James, Louis Passfield, Raphaël Faiss, & Martial Saugy. (2016). Modelling of cycling power data and its application for anti-doping. 5(2). 1 indexed citations
18.
Pialoux, Vincent, Jonas Saugy, Thomas Rupp, et al.. (2015). Exposure to hypobaric hypoxia results in higher oxidative stress compared to normobaric hypoxia. Respiratory Physiology & Neurobiology. 223. 23–27. 37 indexed citations
19.
Hauser, Anna, Laurent Schmitt, Jonas Saugy, et al.. (2015). Similar Hemoglobin Mass Response in Hypobaric and Normobaric Hypoxia in Athletes. Medicine & Science in Sports & Exercise. 48(4). 734–741. 56 indexed citations
20.
Degache, Francis, et al.. (2012). Hypobaric versus Normobaric Hypoxia: Same Effects on Postural Stability?. High Altitude Medicine & Biology. 13(1). 40–45. 29 indexed citations

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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