Séverine Lamon

4.2k total citations
96 papers, 3.0k citations indexed

About

Séverine Lamon is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Séverine Lamon has authored 96 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 27 papers in Cell Biology and 25 papers in Physiology. Recurrent topics in Séverine Lamon's work include Muscle Physiology and Disorders (32 papers), Muscle metabolism and nutrition (25 papers) and Adipose Tissue and Metabolism (15 papers). Séverine Lamon is often cited by papers focused on Muscle Physiology and Disorders (32 papers), Muscle metabolism and nutrition (25 papers) and Adipose Tissue and Metabolism (15 papers). Séverine Lamon collaborates with scholars based in Australia, Switzerland and United States. Séverine Lamon's co-authors include Aaron P. Russell, Evelyn Zacharewicz, Glenn D. Wadley, Bertrand Léger, Marita A. Wallace, Paul A. Della Gatta, Romain Cartoni, Brad Aisbett, Ashlee M. Hendy and Shogo Wada and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Séverine Lamon

90 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Séverine Lamon Australia 31 1.6k 944 651 459 455 96 3.0k
Parco M. Siu Hong Kong 36 1.9k 1.2× 1.4k 1.5× 504 0.8× 187 0.4× 561 1.2× 115 4.0k
Brendan Egan Ireland 30 1.9k 1.2× 2.9k 3.0× 1.4k 2.1× 368 0.8× 785 1.7× 112 5.2k
Nikolai Baastrup Nordsborg Denmark 31 941 0.6× 917 1.0× 715 1.1× 99 0.2× 433 1.0× 135 3.5k
Espen E. Spangenburg United States 41 2.5k 1.6× 1.8k 1.9× 1.0k 1.6× 186 0.4× 798 1.8× 112 4.8k
James G. Ryall Australia 34 2.6k 1.7× 1.5k 1.6× 794 1.2× 209 0.5× 438 1.0× 58 3.8k
Giorgio Fanò Italy 30 2.0k 1.3× 1.1k 1.2× 426 0.7× 158 0.3× 508 1.1× 105 4.0k
Joseph M. Devaney United States 31 1.4k 0.9× 536 0.6× 537 0.8× 190 0.4× 189 0.4× 95 3.5k
Nathalie Koulmann France 23 909 0.6× 897 1.0× 437 0.7× 234 0.5× 367 0.8× 81 1.9k
Olivier Schakman Belgium 26 1.6k 1.0× 933 1.0× 404 0.6× 199 0.4× 362 0.8× 51 2.8k
Andrew Garnham Australia 39 1.4k 0.9× 2.2k 2.3× 1.8k 2.7× 162 0.4× 1.0k 2.2× 121 4.6k

Countries citing papers authored by Séverine Lamon

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Lamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Lamon

This figure shows the co-authorship network connecting the top 25 collaborators of Séverine Lamon. A scholar is included among the top collaborators of Séverine Lamon 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 Séverine Lamon. Séverine Lamon 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.
Roeszler, Kelly N., Giscard Lima, Shanie Landen, et al.. (2025). ACTN3 genotype influences androgen response in developing murine skeletal muscle. Science Advances. 11(35). eadw1059–eadw1059. 1 indexed citations
2.
3.
Fuchs, Cas J., et al.. (2025). The contribution of age and sex hormones to female neuromuscular function across the adult lifespan. The Journal of Physiology. 604(2). 829–848. 2 indexed citations
4.
Laakkonen, Eija K., et al.. (2025). The Role and Regulation of Intramuscular Sex Hormones in Skeletal Muscle: A Systematic Review. The Journal of Clinical Endocrinology & Metabolism. 110(6). e1732–e1746. 2 indexed citations
5.
Hiam, Danielle, et al.. (2025). Associations Between Female Sex Hormones and Skeletal Muscle Ageing: The Baltimore Longitudinal Study of Aging. Journal of Cachexia Sarcopenia and Muscle. 16(3). e13786–e13786. 6 indexed citations
6.
Jansons, Paul, Paul A. Della Gatta, Andrew Garnham, et al.. (2024). Bioavailable testosterone and androgen receptor activation, but not total testosterone, are associated with muscle mass and strength in females. The Journal of Physiology. 603(18). 5181–5208. 12 indexed citations
7.
Trewin, Adam J., Larry Croft, Mark Ziemann, et al.. (2024). Purification of mitochondria from skeletal muscle tissue for transcriptomic analyses reveals localization of nuclear‐encoded noncoding RNAs. The FASEB Journal. 38(23). e70223–e70223. 2 indexed citations
8.
Hiam, Danielle, et al.. (2024). Single-session measures of quadriceps neuromuscular function are reliable in healthy females and unaffected by age. European Journal of Applied Physiology. 124(6). 1719–1732. 4 indexed citations
9.
Saner, Nicholas J., Adam J. Trewin, Spencer Roberts, et al.. (2024). The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young females. Physiological Genomics. 56(7). 506–518. 1 indexed citations
10.
Piatkowski, Timothy, Jonathan Robertson, Séverine Lamon, & Matthew Dunn. (2023). Gendered perspectives on women’s anabolic–androgenic steroid (AAS) usage practices. Harm Reduction Journal. 20(1). 56–56. 20 indexed citations
11.
12.
Landen, Shanie, Macsue Jacques, Danielle Hiam, et al.. (2023). Sex differences in muscle protein expression and DNA methylation in response to exercise training. Biology of Sex Differences. 14(1). 56–56. 18 indexed citations
13.
Lamon, Séverine, et al.. (2022). The effect of the menstrual cycle on the circulating microRNA pool in human plasma: a pilot study. Human Reproduction. 38(1). 46–56. 9 indexed citations
14.
Hiam, Danielle & Séverine Lamon. (2020). Circulating microRNAs: let’s not waste the potential. American Journal of Physiology-Cell Physiology. 319(2). C313–C315. 5 indexed citations
15.
Zacharewicz, Evelyn, Ming Kalanon, Robyn M. Murphy, Aaron P. Russell, & Séverine Lamon. (2020). MicroRNA-99b-5p downregulates protein synthesis in human primary myotubes. American Journal of Physiology-Cell Physiology. 319(2). C432–C440. 10 indexed citations
16.
Landen, Shanie, Sarah Voisin, Jeffrey M. Craig, et al.. (2019). Genetic and epigenetic sex-specific adaptations to endurance exercise. Epigenetics. 14(6). 523–535. 48 indexed citations
17.
Hendy, Ashlee M. & Séverine Lamon. (2017). The Cross-Education Phenomenon: Brain and Beyond. Frontiers in Physiology. 8. 297–297. 64 indexed citations
18.
Lamon, Séverine, et al.. (2017). MicroRNA expression patterns in post-natal mouse skeletal muscle development. BMC Genomics. 18(1). 52–52. 18 indexed citations
19.
Lamon, Séverine, Evelyn Zacharewicz, Emily Arentson‐Lantz, et al.. (2016). Erythropoietin Does Not Enhance Skeletal Muscle Protein Synthesis Following Exercise in Young and Older Adults. Frontiers in Physiology. 7. 292–292. 7 indexed citations
20.
Lamon, Séverine & Aaron P. Russell. (2013). The role and regulation of erythropoietin (EPO) and its receptor in skeletal muscle: how much do we really know?. Frontiers in Physiology. 4. 176–176. 32 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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