Nir Eynon

6.2k total citations · 1 hit paper
103 papers, 3.4k citations indexed

About

Nir Eynon is a scholar working on Genetics, Orthopedics and Sports Medicine and Cell Biology. According to data from OpenAlex, Nir Eynon has authored 103 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Genetics, 44 papers in Orthopedics and Sports Medicine and 41 papers in Cell Biology. Recurrent topics in Nir Eynon's work include Genetics and Physical Performance (63 papers), Muscle metabolism and nutrition (41 papers) and Sports Performance and Training (37 papers). Nir Eynon is often cited by papers focused on Genetics and Physical Performance (63 papers), Muscle metabolism and nutrition (41 papers) and Sports Performance and Training (37 papers). Nir Eynon collaborates with scholars based in Australia, Israel and Spain. Nir Eynon's co-authors include David J. Bishop, Sarah Voisin, Alejandro Lucía, Yoav Meckel, Yamin Chen, Michael Sagiv, Xu Yan, José Oliveira, José Alberto Duarte and Moran Sagiv and has published in prestigious journals such as PLoS ONE, Nature Reviews Genetics and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Nir Eynon

101 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Making sense of the ageing methylome

2022 142 citations Kirsten Seale, Andrew E. Teschendorff et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nir Eynon Australia	34	2.0k	1.5k	1.1k	922	747	103	3.4k
Ildus I. Ahmetov Russia	33	2.2k 1.1×	1.6k 1.0×	1.2k 1.1×	1.0k 1.1×	433 0.6×	121	2.9k
Paweł Cięszczyk Poland	27	1.4k 0.7×	1.3k 0.8×	867 0.8×	621 0.7×	347 0.5×	172	2.5k
Noriyuki Fuku Japan	32	1.2k 0.6×	680 0.4×	515 0.5×	358 0.4×	1.2k 1.6×	112	2.9k
Paul S. Visich United States	25	691 0.4×	624 0.4×	295 0.3×	463 0.5×	388 0.5×	80	1.9k
Vincent Pialoux France	35	1.2k 0.6×	423 0.3×	575 0.5×	194 0.2×	449 0.6×	137	3.8k
Nicolás Terrados Spain	30	715 0.4×	1.5k 1.0×	391 0.4×	643 0.7×	124 0.2×	109	2.7k
Jan Svedenhag Sweden	26	444 0.2×	1.1k 0.7×	484 0.4×	499 0.5×	168 0.2×	43	2.3k
Ulrik Frandsen Denmark	31	244 0.1×	443 0.3×	495 0.5×	497 0.5×	1.0k 1.4×	58	2.9k
Howard J. Green Canada	21	221 0.1×	701 0.5×	483 0.4×	345 0.4×	260 0.3×	49	1.9k
Kirsten A. Burgomaster Canada	11	225 0.1×	1.7k 1.1×	837 0.8×	646 0.7×	189 0.3×	18	3.5k

Countries citing papers authored by Nir Eynon

Since Specialization

Citations

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

Fields of papers citing papers by Nir Eynon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Eynon

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Eynon. A scholar is included among the top collaborators of Nir Eynon 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 Nir Eynon. Nir Eynon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

García-Domínguez, Esther, Andrew Garnham, Kirsten Seale, et al.. (2025). Integrated fibre-specific methylome and proteome profiling of human skeletal muscle across males and females with fibre-type deconvolution. Skeletal Muscle. 15(1). 28–28.

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

Seale, Kirsten, Andrew E. Teschendorff, Alexander P. Reiner, Sarah Voisin, & Nir Eynon. (2024). A comprehensive map of the aging blood methylome in humans. Genome biology. 25(1). 240–240. 2 indexed citations

Jacques, Macsue, et al.. (2024). Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution. Aging. 16(22). 13452–13504. 5 indexed citations

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

Cheung, Ada S., Sav Zwickl, Brendan J. Nolan, et al.. (2023). The Impact of Gender-Affirming Hormone Therapy on Physical Performance. The Journal of Clinical Endocrinology & Metabolism. 109(2). e455–e465. 22 indexed citations

Jones, Patrice, Sarah Voisin, Brendan J. Nolan, et al.. (2022). Uncovering the effects of gender affirming hormone therapy on skeletal muscle and epigenetics: protocol for a prospective matched cohort study in transgender individuals (the GAME study). BMJ Open. 12(5). e060869–e060869. 7 indexed citations

Harrison, Craig A., Elizabeth H. Skinner, Kimberley Haines, et al.. (2022). Activin A level is associated with physical function in critically ill patients. Australian Critical Care. 36(5). 702–707. 1 indexed citations

Cięszczyk, Paweł, Krzysztof Ficek, Kinga Humińska‐Lisowska, et al.. (2021). Investigation of multiple populations highlight VEGFA polymorphisms to modulate anterior cruciate ligament injury. Journal of Orthopaedic Research®. 40(7). 1604–1612. 8 indexed citations

10.

Seale, Kirsten, Macsue Jacques, Sarah Voisin, et al.. (2021). Genetic variants within the COL5A1 gene are associated with ligament injuries in physically active populations from Australia, South Africa, and Japan. European Journal of Sport Science. 23(2). 284–293. 12 indexed citations

11.

Harvey, Nicholas R., Sarah Voisin, Rod A. Lea, et al.. (2020). Investigating the influence of mtDNA and nuclear encoded mitochondrial variants on high intensity interval training outcomes. Scientific Reports. 10(1). 11089–11089. 7 indexed citations

12.

Smith, Cassandra, Xuzhu Lin, David Scott, et al.. (2020). Uncovering the Bone-Muscle Interaction and Its Implications for the Health and Function of Older Adults (the Wellderly Project): Protocol for a Randomized Controlled Crossover Trial. JMIR Research Protocols. 10(4). e18777–e18777. 9 indexed citations

13.

Voisin, Sarah, et al.. (2020). Mapping Robust Genetic Variants Associated with Exercise Responses. International Journal of Sports Medicine. 42(1). 3–18. 14 indexed citations

14.

Smith, Cassandra, Sarah Voisin, Ahmed Al Saedi, et al.. (2019). Osteocalcin and its forms across the lifespan in adult men. Bone. 130. 115085–115085. 34 indexed citations

15.

Jacques, Macsue, Danielle Hiam, Jeffrey M. Craig, et al.. (2019). Epigenetic changes in healthy human skeletal muscle following exercise– a systematic review. Epigenetics. 14(7). 633–648. 74 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.

Hiam, Danielle, Sarah Voisin, Xu Yan, et al.. (2019). The association between bone mineral density gene variants and osteocalcin at baseline, and in response to exercise: The Gene SMART study. Bone. 123. 23–27. 12 indexed citations

18.

Coso, Juan Del, Danielle Hiam, Peter J. Houweling, et al.. (2018). More than a ‘speed gene’: ACTN3 R577X genotype, trainability, muscle damage, and the risk for injuries. European Journal of Applied Physiology. 119(1). 49–60. 59 indexed citations

19.

Pitsiladis, Yannis, Masashi Tanaka, Nir Eynon, et al.. (2015). Athlome Project Consortium: a concerted effort to discover genomic and other “omic” markers of athletic performance. Physiological Genomics. 48(3). 183–190. 78 indexed citations

20.

Eynon, Nir, Jonatan R. Ruiz, José Oliveira, et al.. (2011). Genes and elite athletes: a roadmap for future research. The Journal of Physiology. 589(13). 3063–3070. 99 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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