Scott Trappe

14.8k total citations
178 papers, 10.1k citations indexed

About

Scott Trappe is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Scott Trappe has authored 178 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 70 papers in Cell Biology and 70 papers in Physiology. Recurrent topics in Scott Trappe's work include Muscle Physiology and Disorders (75 papers), Muscle metabolism and nutrition (70 papers) and Sports Performance and Training (50 papers). Scott Trappe is often cited by papers focused on Muscle Physiology and Disorders (75 papers), Muscle metabolism and nutrition (70 papers) and Sports Performance and Training (50 papers). Scott Trappe collaborates with scholars based in United States, Sweden and Australia. Scott Trappe's co-authors include Todd A. Trappe, Bożena Jemioło, Ulrika Raue, D. L. Costill, Philip M. Gallagher, Matthew P. Harber, R. H. Fitts, Kiril Minchev, Dustin Slivka and Andrew Creer and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Analytical Biochemistry.

In The Last Decade

Scott Trappe

174 papers receiving 9.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Trappe United States 61 4.6k 4.2k 3.5k 2.7k 2.2k 178 10.1k
Marcas M. Bamman United States 53 3.9k 0.8× 4.2k 1.0× 2.5k 0.7× 1.8k 0.7× 1.4k 0.6× 179 10.1k
Susan V. Brooks United States 52 2.8k 0.6× 4.9k 1.2× 1.7k 0.5× 2.3k 0.9× 2.2k 1.0× 141 10.0k
Jesper L. Andersen Denmark 57 3.2k 0.7× 2.8k 0.7× 2.5k 0.7× 4.7k 1.8× 1.5k 0.7× 169 11.5k
Robert S. Staron United States 48 2.1k 0.5× 4.0k 1.0× 2.6k 0.7× 3.5k 1.3× 1.5k 0.7× 109 9.9k
Peter Schjerling Denmark 64 6.1k 1.3× 5.8k 1.4× 3.1k 0.9× 2.1k 0.8× 3.9k 1.8× 212 14.1k
R. H. Fitts United States 57 3.1k 0.7× 3.9k 0.9× 2.1k 0.6× 2.5k 0.9× 1.3k 0.6× 148 9.5k
Hans Degens United Kingdom 49 4.0k 0.9× 2.8k 0.7× 1.2k 0.3× 2.6k 1.0× 975 0.5× 274 10.0k
Todd A. Trappe United States 49 3.1k 0.7× 2.3k 0.6× 2.4k 0.7× 1.6k 0.6× 1.5k 0.7× 139 6.6k
Per A. Tesch Sweden 64 2.9k 0.6× 2.2k 0.5× 2.7k 0.8× 5.8k 2.2× 1.6k 0.7× 180 11.0k
Håkan Westerblad Sweden 69 3.5k 0.8× 6.7k 1.6× 2.6k 0.8× 3.2k 1.2× 3.2k 1.5× 240 15.6k

Countries citing papers authored by Scott Trappe

Since Specialization
Citations

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

Fields of papers citing papers by Scott Trappe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Trappe

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Trappe. A scholar is included among the top collaborators of Scott Trappe 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 Scott Trappe. Scott Trappe 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.
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.
2.
Rogers, Kaitlyn, et al.. (2025). Human skeletal muscle-specific hypertrophy with exercise training and aging: a comprehensive review. Journal of Applied Physiology. 139(1). 58–69. 1 indexed citations
3.
Rogers, Kaitlyn, et al.. (2025). Muscle-specific atrophy of the lower limb musculature in response to simulated microgravity exposure in women. Journal of Applied Physiology. 139(3). 759–765.
4.
5.
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
6.
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
7.
Trappe, Todd A., Kiril Minchev, Ryan K. Perkins, et al.. (2024). NASA SPRINT exercise program efficacy for vastus lateralis and soleus skeletal muscle health during 70 days of simulated microgravity. Journal of Applied Physiology. 136(5). 1015–1039. 7 indexed citations
8.
Foulkes, Stephen, Mark J. Haykowsky, Glenn K. McConell, et al.. (2024). Lifelong physiology of a former marathon world-record holder: the pros and cons of extreme cardiac remodeling. Journal of Applied Physiology. 137(3). 461–472. 4 indexed citations
9.
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
10.
Finch, W. Holmes, et al.. (2023). Muscle group-specific skeletal muscle aging: a 5-yr longitudinal study in septuagenarians. Journal of Applied Physiology. 134(4). 915–922. 9 indexed citations
11.
Trappe, Scott, et al.. (2023). Human skeletal muscle-specific atrophy with aging: a comprehensive review. Journal of Applied Physiology. 134(4). 900–914. 64 indexed citations
12.
Trappe, Todd A., Per A. Tesch, Björn Alkner, & Scott Trappe. (2023). Microgravity-induced skeletal muscle atrophy in women and men: implications for long-duration spaceflights to the Moon and Mars. Journal of Applied Physiology. 135(5). 1115–1119. 11 indexed citations
13.
Rubenstein, Aliza B., J. Matthew Hinkley, Venugopalan D. Nair, et al.. (2022). Skeletal muscle transcriptome response to a bout of endurance exercise in physically active and sedentary older adults. American Journal of Physiology-Endocrinology and Metabolism. 322(3). E260–E277. 23 indexed citations
14.
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
15.
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
16.
Sundberg, Christopher W., et al.. (2018). Effects of elevated H + and P i on the contractile mechanics of skeletal muscle fibres from young and old men: implications for muscle fatigue in humans. The Journal of Physiology. 596(17). 3993–4015. 71 indexed citations
17.
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
18.
LeMoine, Jennifer K., Jacob M. Haus, Scott Trappe, & Todd A. Trappe. (2009). Muscle proteins during 60‐day bedrest in women: Impact of exercise or nutrition. Muscle & Nerve. 39(4). 463–471. 27 indexed citations
19.
Trappe, Scott. (2007). Marathon Runners. Sports Medicine. 37(4). 302–305. 60 indexed citations
20.
Riley, Danny A., James Bain, R. H. Fitts, et al.. (2000). Decreased thin filament density and length in human atrophic soleus muscle fibers after spaceflight. Journal of Applied Physiology. 88(2). 567–572. 93 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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