N Baume

2.4k total citations
52 papers, 1.9k citations indexed

About

N Baume is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Animal Science and Zoology. According to data from OpenAlex, N Baume has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Cell Biology and 13 papers in Animal Science and Zoology. Recurrent topics in N Baume's work include Hormonal and reproductive studies (38 papers), Muscle metabolism and nutrition (21 papers) and Pharmacological Effects and Assays (13 papers). N Baume is often cited by papers focused on Hormonal and reproductive studies (38 papers), Muscle metabolism and nutrition (21 papers) and Pharmacological Effects and Assays (13 papers). N Baume collaborates with scholars based in Switzerland, Germany and Spain. N Baume's co-authors include Martial Saugy, C Saudan, Patrice Mangin, Matthias Kamber, Carine Schweizer, Neil Robinson, L Avois, Raul Nicoli, Pierre‐Edouard Sottas and Tiia Kuuranne and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

N Baume

50 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N Baume Switzerland 26 1.3k 689 397 371 326 52 1.9k
Matthias Kamber Switzerland 26 841 0.7× 549 0.8× 243 0.6× 263 0.7× 258 0.8× 51 1.5k
Ute Mareck Germany 23 1.4k 1.1× 763 1.1× 515 1.3× 304 0.8× 285 0.9× 29 2.1k
Christiane Ayotte Canada 19 782 0.6× 331 0.5× 300 0.8× 230 0.6× 134 0.4× 39 1.3k
Maxie Kohler Germany 27 741 0.6× 415 0.6× 205 0.5× 552 1.5× 141 0.4× 65 2.0k
Rymantas Kazlauskas Australia 22 774 0.6× 419 0.6× 180 0.5× 382 1.0× 152 0.5× 42 1.6k
Peter Hemmersbach Norway 21 540 0.4× 274 0.4× 349 0.9× 140 0.4× 119 0.4× 42 1.1k
Borislav Starcevic United States 9 901 0.7× 302 0.4× 292 0.7× 192 0.5× 96 0.3× 9 1.1k
Mario Thevis Germany 17 375 0.3× 261 0.4× 99 0.2× 313 0.8× 57 0.2× 47 1.2k
L. Dehennin France 26 859 0.7× 209 0.3× 335 0.8× 376 1.0× 48 0.1× 64 1.8k
Gerd Sigmund Germany 15 387 0.3× 148 0.2× 121 0.3× 132 0.4× 92 0.3× 24 673

Countries citing papers authored by N Baume

Since Specialization
Citations

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

Fields of papers citing papers by N Baume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Baume

This figure shows the co-authorship network connecting the top 25 collaborators of N Baume. A scholar is included among the top collaborators of N Baume 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 N Baume. N Baume 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.
Salamin, Olivier, Federico Ponzetto, Raul Nicoli, et al.. (2023). Longitudinal Profiling of Endogenous Steroids in Blood Using the Athlete Biological Passport Approach. The Journal of Clinical Endocrinology & Metabolism. 108(8). 1937–1946. 16 indexed citations
2.
Ponzetto, Federico, Sylvain Giraud, Nicolas Leuenberger, et al.. (2016). Methods for Doping Detection. Frontiers of hormone research. 47. 153–167. 11 indexed citations
3.
Salamin, Olivier, et al.. (2016). Circulating microRNA-122 as Potential Biomarker for Detection of Testosterone Abuse. PLoS ONE. 11(5). e0155248–e0155248. 18 indexed citations
4.
Baume, N, Nicolas Jan, Carine Schweizer, et al.. (2015). Antidoping programme and biological monitoring before and during the 2014 FIFA World Cup Brazil. British Journal of Sports Medicine. 49(9). 614–622. 10 indexed citations
5.
Ponzetto, Federico, Florence Mehl, Julien Boccard, et al.. (2015). Longitudinal monitoring of endogenous steroids in human serum by UHPLC-MS/MS as a tool to detect testosterone abuse in sports. Analytical and Bioanalytical Chemistry. 408(3). 705–719. 67 indexed citations
6.
Kuuranne, Tiia, Martial Saugy, & N Baume. (2014). Confounding factors and genetic polymorphism in the evaluation of individual steroid profiling. British Journal of Sports Medicine. 48(10). 848–855. 91 indexed citations
7.
Vouillamoz, Marc, et al.. (2014). . Biology of Sport. 31(2). 85–93. 5 indexed citations
8.
Badoud, Flavia, Julien Boccard, Carine Schweizer, et al.. (2013). Profiling of steroid metabolites after transdermal and oral administration of testosterone by ultra-high pressure liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The Journal of Steroid Biochemistry and Molecular Biology. 138. 222–235. 71 indexed citations
9.
Baume, N, et al.. (2008). No variation of physical performance and perceived exertion after adrenal gland stimulation by synthetic ACTH (Synacthen®) in cyclists. European Journal of Applied Physiology. 104(4). 589–600. 24 indexed citations
10.
Baume, N, et al.. (2007). Guide to over-the-counter sports supplements for athletes : review article. International sportmed journal for FIMS. 8(1). 2–10. 4 indexed citations
11.
Baume, N, Yorck Olaf Schumacher, Pierre‐Edouard Sottas, et al.. (2006). Effect of multiple oral doses of androgenic anabolic steroids on endurance performance and serum indices of physical stress in healthy male subjects. European Journal of Applied Physiology. 98(4). 329–340. 41 indexed citations
12.
Saudan, C, N Baume, Neil Robinson, et al.. (2006). Testosterone and doping control. British Journal of Sports Medicine. 40(suppl 1). i21–i24. 72 indexed citations
13.
Baume, N, C Saudan, Aurélien Desmarchelier, et al.. (2006). Use of isotope ratio mass spectrometry to detect doping with oral testosterone undecanoate: Inter-individual variability of 13C/12C ratio. Steroids. 71(5). 364–370. 36 indexed citations
14.
Sottas, Pierre‐Edouard, N Baume, C Saudan, et al.. (2006). Bayesian detection of abnormal values in longitudinal biomarkers with an application to T/E ratio. Biostatistics. 8(2). 285–296. 119 indexed citations
15.
Avois, L, et al.. (2006). Central nervous system stimulants and sport practice. British Journal of Sports Medicine. 40(suppl 1). i16–i20. 71 indexed citations
16.
17.
Baume, N, et al.. (2005). Research of stimulants and anabolic steroids in dietary supplements. Scandinavian Journal of Medicine and Science in Sports. 16(1). 41–48. 99 indexed citations
18.
Baume, N, L Avois, Pierre‐Edouard Sottas, et al.. (2005). Effects of High-Intensity Exercises on 13C-Nandrolone Excretion in Trained Athletes. Clinical Journal of Sport Medicine. 15(3). 158–166. 3 indexed citations
19.
Saudan, C, N Baume, Patrice Mangin, & Martial Saugy. (2004). Urinary analysis of 16(5α)-androsten-3α-ol by gas chromatography/combustion/isotope ratio mass spectrometry: implications in anti-doping analysis. Journal of Chromatography B. 810(1). 157–164. 54 indexed citations
20.
Kamber, Matthias, N Baume, Martial Saugy, & Laurent Rivier. (2001). Nutritional Supplements as a Source for Positive Doping Cases?. International Journal of Sport Nutrition and Exercise Metabolism. 11(2). 258–263. 87 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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