Kevin A. Murach

3.7k total citations · 1 hit paper
84 papers, 2.4k citations indexed

About

Kevin A. Murach is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Kevin A. Murach has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 37 papers in Physiology and 12 papers in Genetics. Recurrent topics in Kevin A. Murach's work include Muscle Physiology and Disorders (64 papers), Adipose Tissue and Metabolism (17 papers) and Muscle metabolism and nutrition (11 papers). Kevin A. Murach is often cited by papers focused on Muscle Physiology and Disorders (64 papers), Adipose Tissue and Metabolism (17 papers) and Muscle metabolism and nutrition (11 papers). Kevin A. Murach collaborates with scholars based in United States, Sweden and Denmark. Kevin A. Murach's co-authors include John J. McCarthy, Charlotte A. Peterson, Cory M. Dungan, Yuan Wen, Christopher S. Fry, James R. Bagley, Esther E. Dupont‐Versteegden, Ivan J. Vechetti, Davis A. Englund and Vandré C. Figueiredo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and PLoS ONE.

In The Last Decade

Kevin A. Murach

77 papers receiving 2.4k citations

Hit Papers

Exercise metabolism and adaptation in skeletal muscle 2023 2026 2024 2025 2023 40 80 120

Peers

Kevin A. Murach
Emidio E. Pistilli United States
Angelika Paul New Zealand
Jyothi Mula United States
Erqian Na United States
Venus Lai United States
Kevin A. Murach
Citations per year, relative to Kevin A. Murach Kevin A. Murach (= 1×) peers Bryon R. McKay

Countries citing papers authored by Kevin A. Murach

Since Specialization
Citations

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

Fields of papers citing papers by Kevin A. Murach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin A. Murach. 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 Kevin A. Murach. The network helps show where Kevin A. Murach may publish in the future.

Co-authorship network of co-authors of Kevin A. Murach

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Murach. A scholar is included among the top collaborators of Kevin A. Murach 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 Kevin A. Murach. Kevin A. Murach 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.
Murach, Kevin A., Davis A. Englund, Toby L. Chambers, et al.. (2025). A satellite cell‐dependent epigenetic fingerprint in skeletal muscle identity genes after lifelong physical activity. The FASEB Journal. 39(5). e70435–e70435. 1 indexed citations
2.
Chambers, Toby L., Seongkyun Lim, Stavroula Tsitkanou, et al.. (2025). Global mitophagy inhibition via BNIP3 ablation is not sufficient to alleviate skeletal muscle impairments in male and female tumor-bearing mice. Journal of Applied Physiology. 138(6). 1516–1531.
3.
Rosa‐Caldwell, Megan E., Toby L. Chambers, Lauren Breithaupt, et al.. (2025). Mitochondrial capacities and quality control following short‐ and long‐term weight restoration after simulated anorexia nervosa. Experimental Physiology.
4.
Chambers, Toby L., Nicholas P. Greene, Antonio Filareto, et al.. (2025). At the Nexus Between Epigenetics and Senescence: The Effects of Senolytic ( BI01 ) Administration on DNA Methylation Clock Age and the Methylome in Aged and Regenerated Skeletal Muscle. Aging Cell. 24(7). e70068–e70068. 1 indexed citations
5.
Jannig, Paulo R., Vandré C. Figueiredo, Yuan Wen, et al.. (2024). The rRNA epitranscriptome and myonuclear SNORD landscape in skeletal muscle fibers contributes to ribosome heterogeneity and is altered by a hypertrophic stimulus. American Journal of Physiology-Cell Physiology. 327(3). C516–C524. 6 indexed citations
6.
Borowik, Agnieszka, Kevin A. Murach, & Benjamin F. Miller. (2024). The expanding roles of myonuclei in adult skeletal muscle health and function. Biochemical Society Transactions. 52(6). 2603–2616. 1 indexed citations
7.
Lim, Seongkyun, Ronald G. Jones, Megan E. Rosa‐Caldwell, et al.. (2023). The time-course of cancer cachexia onset reveals biphasic transcriptional disruptions in female skeletal muscle distinct from males. BMC Genomics. 24(1). 374–374. 17 indexed citations
8.
Bagley, James R., Lance T. Denes, John J. McCarthy, Eric T. Wang, & Kevin A. Murach. (2023). The myonuclear domain in adult skeletal muscle fibres: past, present and future. The Journal of Physiology. 601(4). 723–741. 23 indexed citations
9.
Dungan, Cory M., Camille R. Brightwell, Yuan Wen, et al.. (2022). Muscle-Specific Cellular and Molecular Adaptations to Late-Life Voluntary Concurrent Exercise. Function. 3(4). 32 indexed citations
10.
Murach, Kevin A., Zhengye Liu, Baptiste Jude, et al.. (2022). Multi-transcriptome analysis following an acute skeletal muscle growth stimulus yields tools for discerning global and MYC regulatory networks. Journal of Biological Chemistry. 298(11). 102515–102515. 37 indexed citations
11.
Murach, Kevin A., Yuan Wen, Camille R. Brightwell, et al.. (2021). Late‐life exercise mitigates skeletal muscle epigenetic aging. Aging Cell. 21(1). e13527–e13527. 58 indexed citations
12.
Figueiredo, Vandré C., Yuan Wen, Björn Alkner, et al.. (2021). Genetic and epigenetic regulation of skeletal muscle ribosome biogenesis with exercise. The Journal of Physiology. 599(13). 3363–3384. 43 indexed citations
13.
Walden, Ferdinand von, Ivan J. Vechetti, Davis A. Englund, et al.. (2021). Reduced mitochondrial DNA and OXPHOS protein content in skeletal muscle of children with cerebral palsy. Developmental Medicine & Child Neurology. 63(10). 1204–1212. 9 indexed citations
14.
Murach, Kevin A., Ivan J. Vechetti, Douglas W. Van Pelt, et al.. (2020). Fusion-Independent Satellite Cell Communication to Muscle Fibers During Load-Induced Hypertrophy. Function. 1(1). zqaa009–zqaa009. 63 indexed citations
15.
Englund, Davis A., Vandré C. Figueiredo, Cory M. Dungan, et al.. (2020). Satellite Cell Depletion Disrupts Transcriptional Coordination and Muscle Adaptation to Exercise. Function. 2(1). zqaa033–zqaa033. 58 indexed citations
16.
Noehren, Brian, Kate Kosmac, R. Grace Walton, et al.. (2018). Alterations in quadriceps muscle cellular and molecular properties in adults with moderate knee osteoarthritis. Osteoarthritis and Cartilage. 26(10). 1359–1368. 62 indexed citations
17.
Murach, Kevin A. & James R. Bagley. (2016). Skeletal Muscle Hypertrophy with Concurrent Exercise Training: Contrary Evidence for an Interference Effect. Sports Medicine. 46(8). 1029–1039. 99 indexed citations
18.
Murach, Kevin A. & John J. McCarthy. (2016). MicroRNAs, heart failure, and aging: potential interactions with skeletal muscle. Heart Failure Reviews. 22(2). 209–218. 29 indexed citations
19.
Murach, Kevin A. & James R. Bagley. (2015). Less Is More: The Physiological Basis for Tapering in Endurance, Strength, and Power Athletes. Sports. 3(3). 209–218. 19 indexed citations
20.
Bagley, James R., Kevin A. Murach, & Scott Trappe. (2012). Microgravity-Induced Fiber Type Shift in Human Skeletal Muscle. Gravitational and Space Research. 26(1). 9 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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