Toby L. Chambers

821 total citations
18 papers, 158 citations indexed

About

Toby L. Chambers is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Toby L. Chambers has authored 18 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Toby L. Chambers's work include Muscle Physiology and Disorders (10 papers), Muscle metabolism and nutrition (5 papers) and Adipose Tissue and Metabolism (4 papers). Toby L. Chambers is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Muscle metabolism and nutrition (5 papers) and Adipose Tissue and Metabolism (4 papers). Toby L. Chambers collaborates with scholars based in United States and Austria. Toby L. Chambers's co-authors include Scott Trappe, Todd A. Trappe, Stephen P. Burns, Michael P. Godard, Ryan M. Miller, Ulrika Raue, W. Holmes Finch, Kiril Minchev, Kevin J. Gries and Gwénaëlle Begue and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and Journal of Applied Physiology.

In The Last Decade

Toby L. Chambers

15 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toby L. Chambers United States 7 82 56 29 28 23 18 158
Daniela Díaz Chile 4 52 0.6× 23 0.4× 19 0.7× 80 2.9× 19 0.8× 5 214
Е. Б. Акимов Russia 9 115 1.4× 18 0.3× 40 1.4× 86 3.1× 12 0.5× 21 244
Keisuke Shiose Japan 10 179 2.2× 33 0.6× 103 3.6× 93 3.3× 26 1.1× 26 262
Han-Hung Huang United States 9 52 0.6× 72 1.3× 19 0.7× 9 0.3× 2 0.1× 21 359
Ji Zheng China 10 73 0.9× 143 2.6× 18 0.6× 26 0.9× 18 0.8× 18 287
Tatsuaki Ikeda Japan 5 80 1.0× 34 0.6× 33 1.1× 102 3.6× 195 8.5× 15 329
Christian S. Wright United States 10 91 1.1× 60 1.1× 52 1.8× 44 1.6× 4 0.2× 19 216
Christopher A. Hill United States 4 21 0.3× 30 0.5× 13 0.4× 73 2.6× 38 1.7× 12 166
Brett A. Davis United States 9 59 0.7× 95 1.7× 12 0.4× 7 0.3× 4 0.2× 27 242
Barry Sanders Canada 7 125 1.5× 9 0.2× 101 3.5× 136 4.9× 53 2.3× 13 362

Countries citing papers authored by Toby L. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Toby L. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby L. Chambers. 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 Toby L. Chambers. The network helps show where Toby L. Chambers may publish in the future.

Co-authorship network of co-authors of Toby L. Chambers

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

All Works

18 of 18 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.
Rubenstein, Aliza B., Gregory R. Smith, Zidong Zhang, et al.. (2025). Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise. Genome Research. 35(7). 1664–1677.
5.
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
6.
Lim, Seongkyun, Toby L. Chambers, Stavroula Tsitkanou, et al.. (2025). Promoting mitochondrial fusion is protective against cancer-induced muscle detriments in males and females. BMC Cancer. 25(1). 1300–1300. 1 indexed citations
7.
Chambers, Toby L. & Kevin A. Murach. (2025). A history of omics discoveries reveals the correlates and mechanisms of loading-induced hypertrophy in adult skeletal muscle. 2024 CaMPS young investigator award invited review. American Journal of Physiology-Cell Physiology. 328(5). C1535–C1557. 1 indexed citations
8.
Chambers, Toby L., Kevin J. Gries, Bożena Jemioło, et al.. (2024). Exercise microdosing for skeletal muscle health applications to spaceflight. Journal of Applied Physiology. 136(5). 1040–1052. 4 indexed citations
9.
Minchev, Kiril, et al.. (2024). Fast and slow myofiber nuclei, satellite cells, and size distribution with lifelong endurance exercise in men and women. Physiological Reports. 12(13). e16052–e16052. 2 indexed citations
10.
Chambers, Toby L., Alexander R. Keeble, Amin Haghani, et al.. (2024). Methylome–proteome integration after late‐life voluntary exercise training reveals regulation and target information for improved skeletal muscle health. The Journal of Physiology. 603(1). 211–237. 8 indexed citations
11.
Raue, Ulrika, Gwénaëlle Begue, Kiril Minchev, et al.. (2023). Fast and slow muscle fiber transcriptome dynamics with lifelong endurance exercise. Journal of Applied Physiology. 136(2). 244–261. 6 indexed citations
12.
Grosicki, Gregory J., Kevin J. Gries, Kiril Minchev, et al.. (2021). Single muscle fibre contractile characteristics with lifelong endurance exercise. The Journal of Physiology. 599(14). 3549–3565. 16 indexed citations
13.
Lester, Bridget, Kiril Minchev, Toby L. Chambers, et al.. (2021). Human adipose and skeletal muscle tissue DNA, RNA, and protein content. Journal of Applied Physiology. 131(4). 1370–1379. 12 indexed citations
14.
Chambers, Toby L., et al.. (2021). Influence of low‐dose aspirin, resistance exercise, and sex on human skeletal muscle PGE2/COX pathway activity. Physiological Reports. 9(5). e14790–e14790. 4 indexed citations
15.
Chambers, Toby L., et al.. (2019). Skeletal muscle size, function, and adiposity with lifelong aerobic exercise. Journal of Applied Physiology. 128(2). 368–378. 51 indexed citations
16.
Miller, Ryan M., Toby L. Chambers, Stephen P. Burns, & Michael P. Godard. (2016). Validating InBody® 570 Multi-frequency Bioelectrical Impedance Analyzer versus DXA for Body Fat Percentage Analysis.. Medicine & Science in Sports & Exercise. 48. 991–991. 38 indexed citations
17.
Chambers, Toby L., et al.. (2015). Validating the Âstrand-Ryhming Submaximal Protocol for VO2 Max Prediction in Recreationally Active Inidividuals. Medicine & Science in Sports & Exercise. 47(5S). 119–119. 1 indexed citations
18.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniela Díaz Breakdown of academic impact, for papers by Е. Б. Акимов Breakdown of academic impact, for papers by Keisuke Shiose Breakdown of academic impact, for papers by Han-Hung Huang Breakdown of academic impact, for papers by Ji Zheng Breakdown of academic impact, for papers by Tatsuaki Ikeda Breakdown of academic impact, for papers by Christian S. Wright Breakdown of academic impact, for papers by Christopher A. Hill Breakdown of academic impact, for papers by Brett A. Davis Breakdown of academic impact, for papers by Barry Sanders
Rankless by CCL
2026