Karyn A. Esser

15.9k total citations · 3 hit papers
180 papers, 11.1k citations indexed

About

Karyn A. Esser is a scholar working on Molecular Biology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Karyn A. Esser has authored 180 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 72 papers in Physiology and 56 papers in Endocrine and Autonomic Systems. Recurrent topics in Karyn A. Esser's work include Muscle Physiology and Disorders (63 papers), Circadian rhythm and melatonin (56 papers) and Adipose Tissue and Metabolism (28 papers). Karyn A. Esser is often cited by papers focused on Muscle Physiology and Disorders (63 papers), Circadian rhythm and melatonin (56 papers) and Adipose Tissue and Metabolism (28 papers). Karyn A. Esser collaborates with scholars based in United States, Thailand and United Kingdom. Karyn A. Esser's co-authors include John J. McCarthy, Keith Baar, Gustavo A. Nader, Mitsunori Miyazaki, Troy A. Hornberger, Elizabeth A. Schroder, Xiping Zhang, Gretchen Wolff, Mark J. Fedele and Kenneth S. Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Karyn A. Esser

175 papers receiving 10.9k 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.

Phosphorylation of p70^S6kcorrelates with increased skeletal muscle mass following resistance exercise

1999 577 citations Karyn A. Esser et al. American Journal of Physiology-Cell Physiology profile →
Effective fiber hypertrophy in satellite cell-depleted skeletal muscle

2011 490 citations John J. McCarthy, Karyn A. Esser et al. profile →
Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging

2020 294 citations Iva Miljkovic, Karyn A. Esser et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karyn A. Esser United States	60	5.9k	4.6k	2.5k	2.2k	1.4k	180	11.1k
Bert Blaauw Italy	41	6.3k 1.1×	3.4k 0.7×	402 0.2×	1.7k 0.8×	801 0.6×	90	9.1k
Luc Pénicaud France	64	4.8k 0.8×	6.7k 1.5×	3.0k 1.2×	897 0.4×	692 0.5×	252	15.7k
Sarah E. Ross United States	35	5.5k 0.9×	3.2k 0.7×	535 0.2×	587 0.3×	167 0.1×	84	10.3k
Sue C. Bodine United States	49	9.3k 1.6×	4.2k 0.9×	161 0.1×	3.4k 1.6×	2.0k 1.4×	125	13.1k
Susan V. Brooks United States	52	4.9k 0.8×	2.8k 0.6×	182 0.1×	1.7k 0.8×	2.2k 1.6×	141	10.0k
Andrew A. Butler United States	46	2.9k 0.5×	3.7k 0.8×	4.2k 1.7×	939 0.4×	74 0.1×	100	9.9k
Troy A. Hornberger United States	45	3.8k 0.6×	2.0k 0.4×	252 0.1×	2.2k 1.0×	1.1k 0.8×	87	5.7k
Trevor N. Stitt United States	23	9.3k 1.6×	3.4k 0.7×	144 0.1×	3.0k 1.4×	1.6k 1.1×	26	12.2k
Gordon S. Lynch Australia	58	6.0k 1.0×	3.6k 0.8×	140 0.1×	2.0k 0.9×	1.6k 1.1×	239	9.3k
Håkan Westerblad Sweden	69	6.7k 1.1×	3.5k 0.8×	299 0.1×	2.6k 1.2×	3.2k 2.3×	240	15.6k

Countries citing papers authored by Karyn A. Esser

Since Specialization

Citations

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

Fields of papers citing papers by Karyn A. Esser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karyn A. Esser

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

All Works

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20 of 20 papers shown

Zhang, Xiping, James Sanford, Joshua Hansen, et al.. (2025). Alterations of the skeletal muscle nuclear proteome after acute exercise reveals a post-transcriptional influence.. American Journal of Physiology-Cell Physiology. 329(3). C953–C971.

Hevener, Andrea L., Laurie J. Goodyear, Sue C. Bodine, et al.. (2025). Exercise training remodels inter-organ endocrine networks. Molecular Metabolism. 99. 102219–102219.

McNeish, Brendan, Iva Miljkovic, Teresa Liu‐Ambrose, et al.. (2025). Muscle-brain crosstalk as a driver of brain health in aging. GeroScience.

Esser, Karyn A., et al.. (2024). The clockwork of champions: Influence of circadian biology on exercise performance. Free Radical Biology and Medicine. 224. 78–87. 8 indexed citations

Gutierrez‐Monreal, Miguel A., Christopher A. Wolff, Collin M. Douglas, et al.. (2024). Targeted Bmal1 restoration in muscle prolongs lifespan with systemic health effects in aging model. JCI Insight. 9(22). 15 indexed citations

Coen, Paul M., Zhiguang Huo, Gregory J. Tranah, et al.. (2024). Autophagy gene expression in skeletal muscle of older individuals is associated with physical performance, muscle volume and mitochondrial function in the study of muscle, mobility and aging ( SOMMA ). Aging Cell. 23(6). e14118–e14118. 11 indexed citations

Gutierrez‐Monreal, Miguel A., et al.. (2024). Targeted brain-specific tauopathy compromises peripheral skeletal muscle integrity and function. SHILAP Revista de lepidopterología. 5. 100110–100110. 2 indexed citations

Tranah, Gregory J., Peggy M. Cawthon, Paul M. Coen, et al.. (2024). Expression of mitochondrial oxidative stress response genes in muscle is associated with mitochondrial respiration, physical performance, and muscle mass in the Study of Muscle, Mobility, and Aging. Aging Cell. 23(6). e14114–e14114. 9 indexed citations

Tranah, Gregory J., Daniel S. Evans, Paul M. Coen, et al.. (2024). Higher expression of denervation‐responsive genes is negatively associated with muscle volume and performance traits in the study of muscle, mobility, and aging (SOMMA). Aging Cell. 23(6). e14115–e14115. 6 indexed citations

10.

Delisle, Brian P., et al.. (2024). Circadian Regulation of Cardiac Arrhythmias and Electrophysiology. Circulation Research. 134(6). 659–674. 10 indexed citations

11.

Zong, Wei, Marianne L. Seney, Kyle D. Ketchesin, et al.. (2023). Experimental design and power calculation in omics circadian rhythmicity detection using the cosinor model. Statistics in Medicine. 42(18). 3236–3258. 10 indexed citations

12.

Roberts, Michael D., John J. McCarthy, Troy A. Hornberger, et al.. (2023). Mechanisms of mechanical overload-induced skeletal muscle hypertrophy: current understanding and future directions. Physiological Reviews. 103(4). 2679–2757. 92 indexed citations

13.

Lim, Ji Ye, Eunju Kim, Collin M. Douglas, et al.. (2022). The circadian E3 ligase FBXL21 regulates myoblast differentiation and sarcomere architecture via MYOZ1 ubiquitination and NFAT signaling. PLoS Genetics. 18(12). e1010574–e1010574. 3 indexed citations

14.

Meng, Lingsong, Andrew C. Liu, Michelle L. Gumz, et al.. (2021). Likelihood-based tests for detecting circadian rhythmicity and differential circadian patterns in transcriptomic applications. Briefings in Bioinformatics. 22(6). 15 indexed citations

15.

Schroder, Elizabeth A., Don E. Burgess, Makoto Ono, et al.. (2021). Timing of food intake in mice unmasks a role for the cardiomyocyte circadian clock mechanism in limiting QT-interval prolongation. Chronobiology International. 39(4). 525–534. 7 indexed citations

16.

Wolff, Christopher A., et al.. (2020). Time‐of‐day dependent effects of contractile activity on the phase of the skeletal muscle clock. The Journal of Physiology. 598(17). 3631–3644. 49 indexed citations

17.

Owen, Allison M., Samir P. Patel, Jeffrey D. Smith, et al.. (2019). Chronic muscle weakness and mitochondrial dysfunction in the absence of sustained atrophy in a preclinical sepsis model. eLife. 8. 89 indexed citations

18.

Kirby, Tyler J., Jonah D. Lee, Jonathan H. England, et al.. (2015). Blunted hypertrophic response in aged skeletal muscle is associated with decreased ribosome biogenesis. Journal of Applied Physiology. 119(4). 321–327. 63 indexed citations

19.

Schroder, Elizabeth A., Mellani Lefta, Xiping Zhang, et al.. (2013). The cardiomyocyte molecular clock, regulation of Scn5a , and arrhythmia susceptibility. American Journal of Physiology-Cell Physiology. 304(10). C954–C965. 105 indexed citations

20.

Drummond, Micah J., John J. McCarthy, Mala Sinha, et al.. (2010). Aging and microRNA expression in human skeletal muscle: a microarray and bioinformatics analysis. Physiological Genomics. 43(10). 595–603. 188 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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