Samuel T. Windham

2.1k total citations
40 papers, 1.5k citations indexed

About

Samuel T. Windham is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Samuel T. Windham has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Physiology and 8 papers in Cell Biology. Recurrent topics in Samuel T. Windham's work include Muscle Physiology and Disorders (18 papers), Adipose Tissue and Metabolism (9 papers) and Muscle metabolism and nutrition (8 papers). Samuel T. Windham is often cited by papers focused on Muscle Physiology and Disorders (18 papers), Adipose Tissue and Metabolism (9 papers) and Muscle metabolism and nutrition (8 papers). Samuel T. Windham collaborates with scholars based in United States, Australia and Türkiye. Samuel T. Windham's co-authors include Marcas M. Bamman, S. Craig Tuggle, Michael J. Stec, Gerald McGwin, Neil Kelly, C. Scott Bickel, James M. Cross, Anna Thalacker‐Mercer, Loring W. Rue and Jesse Metzger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Journal of Applied Physiology.

In The Last Decade

Samuel T. Windham

39 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel T. Windham United States 21 548 464 270 255 209 40 1.5k
Barbara Ravara Italy 22 654 1.2× 389 0.8× 146 0.5× 122 0.5× 213 1.0× 53 1.3k
Steven J. Prior United States 23 363 0.7× 632 1.4× 198 0.7× 168 0.7× 281 1.3× 72 1.5k
Rodrigo Fernandez‐Gonzalo Sweden 27 446 0.8× 564 1.2× 299 1.1× 112 0.4× 433 2.1× 68 2.0k
Jiro Nakano Japan 21 255 0.5× 304 0.7× 106 0.4× 216 0.8× 172 0.8× 73 1.3k
Thorsten Ingemann-Hansen Denmark 23 296 0.5× 562 1.2× 216 0.8× 155 0.6× 191 0.9× 51 2.6k
Marco Toigo Switzerland 20 320 0.6× 408 0.9× 227 0.8× 154 0.6× 178 0.9× 45 1.5k
Odessa Addison United States 19 291 0.5× 1.3k 2.8× 170 0.6× 394 1.5× 173 0.8× 63 2.5k
Elodie Ponsot France 20 449 0.8× 746 1.6× 263 1.0× 88 0.3× 281 1.3× 30 1.7k
Eliane Lampert France 27 415 0.8× 607 1.3× 268 1.0× 468 1.8× 203 1.0× 56 2.5k
J M Round United Kingdom 24 483 0.9× 527 1.1× 334 1.2× 187 0.7× 409 2.0× 39 2.4k

Countries citing papers authored by Samuel T. Windham

Since Specialization
Citations

This map shows the geographic impact of Samuel T. Windham'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 Samuel T. Windham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel T. Windham more than expected).

Fields of papers citing papers by Samuel T. Windham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel T. Windham. 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 Samuel T. Windham. The network helps show where Samuel T. Windham may publish in the future.

Co-authorship network of co-authors of Samuel T. Windham

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel T. Windham. A scholar is included among the top collaborators of Samuel T. Windham 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 Samuel T. Windham. Samuel T. Windham 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.
Vail, Emily A., Todd Sarge, Julie K. Heimbach, et al.. (2025). Best Practices for Hospital-Based Donor Care Unit Operations. SHILAP Revista de lepidopterología. 3(2). 100144–100144.
2.
Vail, Emily A., Rita N. Bakhru, Todd Sarge, et al.. (2024). Best Practices for Intensivists Planning and Opening Hospital-Based Deceased Organ Donor Care Units. SHILAP Revista de lepidopterología. 3(1). 100110–100110. 2 indexed citations
3.
Lavin, Kaleen M., Yongchao Ge, Stuart C. Sealfon, et al.. (2020). Rehabilitative Impact of Exercise Training on Human Skeletal Muscle Transcriptional Programs in Parkinson’s Disease. Frontiers in Physiology. 11. 653–653. 15 indexed citations
4.
Kulkarni, Ameya, Bailey D. Peck, R. Grace Walton, et al.. (2020). Metformin alters skeletal muscle transcriptome adaptations to resistance training in older adults. Aging. 12(20). 19852–19866. 32 indexed citations
5.
6.
Lavin, Kaleen M., Stuart C. Sealfon, Merry‐Lynn McDonald, et al.. (2019). Skeletal muscle transcriptional networks linked to type I myofiber grouping in Parkinson’s disease. Journal of Applied Physiology. 128(2). 229–240. 17 indexed citations
7.
Roberts, Brandon M., Kaleen M. Lavin, Gina M. Many, et al.. (2018). Human neuromuscular aging: Sex differences revealed at the myocellular level. Experimental Gerontology. 106. 116–124. 73 indexed citations
8.
9.
Fisher, Gordon, et al.. (2017). Associations of human skeletal muscle fiber type and insulin sensitivity, blood lipids, and vascular hemodynamics in a cohort of premenopausal women. European Journal of Applied Physiology. 117(7). 1413–1422. 34 indexed citations
10.
Windham, Samuel T., et al.. (2017). Atypical Neuroleptic Malignant Syndrome. A & A Case Reports. 9(12). 339–343. 1 indexed citations
11.
Stec, Michael J., Neil Kelly, Gina M. Many, et al.. (2016). Ribosome biogenesis may augment resistance training-induced myofiber hypertrophy and is required for myotube growth in vitro. American Journal of Physiology-Endocrinology and Metabolism. 310(8). E652–E661. 110 indexed citations
12.
Stec, Michael J., et al.. (2015). Serum from human burn victims impairs myogenesis and protein synthesis in primary myoblasts. Frontiers in Physiology. 6. 184–184. 32 indexed citations
13.
Kelly, Neil, Matthew P. Ford, David G. Standaert, et al.. (2014). Novel, high-intensity exercise prescription improves muscle mass, mitochondrial function, and physical capacity in individuals with Parkinson's disease. Journal of Applied Physiology. 116(5). 582–592. 100 indexed citations
14.
Yarar‐Fisher, Ceren, C. Scott Bickel, Neil Kelly, et al.. (2014). Mechanosensitivity may be enhanced in skeletal muscles of spinal cord–injured versus able‐bodied men. Muscle & Nerve. 50(4). 599–601. 17 indexed citations
15.
Melton, Sherry M., Jeffrey D. Kerby, Gerald McGwin, et al.. (2004). The Evolution of Chest Computed Tomography for the Definitive Diagnosis of Blunt Aortic Injury: A Single-Center Experience. The Journal of Trauma: Injury, Infection, and Critical Care. 56(2). 243–250. 54 indexed citations
16.
Rana, Atif, Philip J. Kenney, Mark E. Lockhart, et al.. (2004). Adrenal Gland Hematomas in Trauma Patients. Radiology. 230(3). 669–675. 68 indexed citations
17.
George, Richard L., Gerald McGwin, Samuel T. Windham, et al.. (2003). Age-Related Gender Differential in Outcome After Blunt or Penetrating Trauma. Shock. 19(1). 28–32. 130 indexed citations
18.
Moran, Stephan G., et al.. (2003). Vacuum-assisted complex wound closure with elastic vessel loop augmentation: a novel technique. Journal of Wound Care. 12(6). 212–213. 15 indexed citations
19.
Moran, Stephan G., Gerald McGwin, Jesse Metzger, et al.. (2002). Injury Rates among Restrained Drivers in Motor Vehicle Collisions: The Role of Body Habitus. The Journal of Trauma: Injury, Infection, and Critical Care. 52(6). 1116–1120. 51 indexed citations
20.
Reiff, Donald A., et al.. (2002). Identifying Injuries and Motor Vehicle Collision Characteristics that Together Are Suggestive of Diaphragmatic Rupture. The Journal of Trauma: Injury, Infection, and Critical Care. 53(6). 1139–1145. 36 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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