James R. Bagley

1.1k total citations
41 papers, 796 citations indexed

About

James R. Bagley is a scholar working on Physiology, Orthopedics and Sports Medicine and Cell Biology. According to data from OpenAlex, James R. Bagley has authored 41 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 15 papers in Orthopedics and Sports Medicine and 13 papers in Cell Biology. Recurrent topics in James R. Bagley's work include Sports Performance and Training (13 papers), Muscle metabolism and nutrition (13 papers) and Cardiovascular and exercise physiology (9 papers). James R. Bagley is often cited by papers focused on Sports Performance and Training (13 papers), Muscle metabolism and nutrition (13 papers) and Cardiovascular and exercise physiology (9 papers). James R. Bagley collaborates with scholars based in United States, Canada and Israel. James R. Bagley's co-authors include Kevin A. Murach, Andrew J. Galpin, Gregory J. Grosicki, Nicole D. Bolter, José A. Arevalo, Michael Rosenzweig, Mark Pykett, Douglas Marks, Leticia Márquez-Magaña and Jared W. Coburn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

James R. Bagley

39 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James R. Bagley United States 17 319 304 193 187 124 41 796
Todd C. Shoepe United States 12 117 0.4× 137 0.5× 88 0.5× 321 1.7× 53 0.4× 21 596
Dena P. Garner United States 11 163 0.5× 76 0.3× 80 0.4× 201 1.1× 40 0.3× 28 536
T. Umeda Japan 16 74 0.2× 149 0.5× 91 0.5× 198 1.1× 182 1.5× 50 804
D. M. Raab United States 12 226 0.7× 217 0.7× 91 0.5× 614 3.3× 41 0.3× 17 957
Stacey Brickson United States 18 153 0.5× 81 0.3× 65 0.3× 340 1.8× 199 1.6× 29 824
R. Müller France 9 43 0.1× 125 0.4× 180 0.9× 462 2.5× 79 0.6× 30 812
David R. Pearson United States 22 113 0.4× 314 1.0× 727 3.8× 913 4.9× 366 3.0× 79 1.7k
Rodrigo Labat Marcos Brazil 22 82 0.3× 190 0.6× 58 0.3× 237 1.3× 257 2.1× 62 1.4k
André Yui Aihara Brazil 16 87 0.3× 200 0.7× 131 0.7× 627 3.4× 97 0.8× 64 1.3k
David P. Ferguson United States 11 99 0.3× 175 0.6× 42 0.2× 75 0.4× 47 0.4× 55 532

Countries citing papers authored by James R. Bagley

Since Specialization
Citations

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

Fields of papers citing papers by James R. Bagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Bagley. 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 James R. Bagley. The network helps show where James R. Bagley may publish in the future.

Co-authorship network of co-authors of James R. Bagley

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Bagley. A scholar is included among the top collaborators of James R. Bagley 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 James R. Bagley. James R. Bagley 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.
Stute, Nina L., Andrew Pasternak, James R. Bagley, et al.. (2025). Hypohydration augments the acute increase in urinary biomarkers of kidney injury following the 100-mile Western States Endurance Run. Journal of Applied Physiology. 139(5). 1379–1391.
2.
Roberts, Brandon M., Colleen S. Deane, Nathaniel J. Szewczyk, et al.. (2025). Musculoskeletal responses to spaceflight: mechanisms, countermeasures, and key gaps. American Journal of Physiology-Cell Physiology. 329(6). C1985–C1993.
3.
Stute, Nina L., James R. Bagley, Austin T. Robinson, et al.. (2025). Central blood pressure and arterial stiffness among ultramarathon runners across the lifespan. European Journal of Applied Physiology. 126(1). 529–539. 1 indexed citations
4.
Babcock, Matthew C., James R. Bagley, Nina L. Stute, et al.. (2024). Acute cardiovascular responses to the 100-mi Western States Endurance Run. Journal of Applied Physiology. 137(5). 1257–1266. 4 indexed citations
5.
Grosicki, Gregory J., James R. Bagley, Andrew J. Galpin, et al.. (2023). Gut check: Unveiling the influence of acute exercise on the gut microbiota. Experimental Physiology. 108(12). 1466–1480. 16 indexed citations
6.
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
7.
Yeshurun, Shlomo, et al.. (2021). A Handheld Metabolic Device (Lumen) to Measure Fuel Utilization in Healthy Young Adults: Device Validation Study. SHILAP Revista de lepidopterología. 10(2). e25371–e25371. 10 indexed citations
8.
Kim, Misook, et al.. (2020). Reliability Of Seca® Medical Body Composition Analyzer (mbca) In Healthy Young Adults. Medicine & Science in Sports & Exercise. 52(7S). 871–871. 1 indexed citations
9.
Colenso‐Semple, Lauren M., et al.. (2019). Extraordinary fast-twitch fiber abundance in elite weightlifters. PLoS ONE. 14(3). e0207975–e0207975. 44 indexed citations
10.
FARMER, J. BRETLAND, et al.. (2019). Validity and reliability of a Wi-Fi smart scale to estimate body composition. Health and Technology. 9(5). 839–846. 6 indexed citations
11.
Kern, Marialice, et al.. (2019). Skeletal Muscle Fiber Type and Morphology in a Middle-Aged Elite Male Powerlifter Using Anabolic Steroids. Journal of Science in Sport and Exercise. 3(4). 404–411. 7 indexed citations
12.
Bagley, James R., et al.. (2018). Metabolic Cost and Exercise Intensity During Active Virtual Reality Gaming. Games for Health Journal. 7(5). 310–316. 28 indexed citations
13.
Bagley, James R., Edward Jo, Robert J. Talmadge, et al.. (2018). Muscle health and performance in monozygotic twins with 30 years of discordant exercise habits. European Journal of Applied Physiology. 118(10). 2097–2110. 40 indexed citations
14.
Márquez-Magaña, Leticia, et al.. (2018). Gut Microbiota Composition Is Related to Cardiorespiratory Fitness in Healthy Young Adults. International Journal of Sport Nutrition and Exercise Metabolism. 29(3). 249–253. 101 indexed citations
15.
Galpin, Andrew J., et al.. (2016). Effects of Intermittent Neck Cooling During Repeated Bouts of High-Intensity Exercise. Sports. 4(3). 38–38. 8 indexed citations
16.
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
17.
Bagley, James R., et al.. (2016). Exercise Benefits and Considerations for Individuals With Systemic Lupus Erythematosus. Strength and conditioning journal. 38(6). 69–75. 4 indexed citations
18.
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
19.
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
20.
Marshall, Deborah, James R. Bagley, Phong T. Le, et al.. (2003). T Cell Generation Including Positive and Negative Selection Ex Vivo in a Three-Dimensional Matrix. Journal of Hematotherapy & Stem Cell Research. 12(5). 565–574. 13 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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