Samuel T. Windham
Impact in
- Rehabilitation top 2%
- Exercise and Physiological Responses
- Aging top 10%
Papers in
-
- Muscle Physiology and Disorders 16
-
- Adipose Tissue and Metabolism 6
- Nutrition and Health in Aging 3
- Co-authors
- Marcas M. Bamman (24 shared papers)S. Craig Tuggle (10 shared papers)Michael J. Stec (7 shared papers)Gerald McGwin (6 shared papers)Neil Kelly (7 shared papers)C. Scott Bickel (10 shared papers)James M. Cross (6 shared papers)Anna Thalacker‐Mercer (6 shared papers)
- Journals
- Journal of Applied Physiology (7 papers)Frontiers in Physiology (2 papers)Physiological Genomics (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Experimental Gerontology (2 papers)
- Partner nations
- United StatesGermanyTürkiye
In The Last Decade
Samuel T. Windham
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Rehabilitation 175
- Aging 31
- Physiology 407
- Cell Biology 234
- Orthopedics and Sports Medicine 93
Countries citing papers authored by Samuel T. Windham
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
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-authors
The 25 scholars most cited alongside Samuel T. Windham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 152 | |
| 2 | 2003 | 130 | |
| 3 | 2016 | 113 | |
| 4 | 2013 | 102 | |
| 5 | 2014 | 101 | |
| 6 | 2013 | 85 | |
| 7 | 2018 | 77 | |
| 8 | 2017 | 70 | |
| 9 | 2004 | 68 | |
| 10 | 2004 | 54 | |
| 11 | 2017 | 51 | |
| 12 | 2002 | 51 | |
| 13 | 2017 | 38 | |
| 14 | 2013 | 36 | |
| 15 | 2017 | 36 | |
| 16 | 2002 | 36 | |
| 17 | 2020 | 34 | |
| 18 | 2016 | 33 | |
| 19 | 2015 | 32 | |
| 20 | 2013 | 29 |
About Samuel T. Windham
Samuel T. Windham is a scholar working on Molecular Biology, Physiology, Cell Biology, Surgery and Neurology, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (6 papers), Muscle activation and electromyography studies (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Nutrition and Health in Aging (3 papers), Exercise and Physiological Responses (3 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Rehabilitation (175 citations), Aging (31 citations), Physiology (407 citations), Cell Biology (234 citations) and Orthopedics and Sports Medicine (93 citations). Samuel T. Windham has collaborated with scholars based in United States, Germany and Türkiye. Frequent 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. Their work appears in journals such as Journal of Applied Physiology, Frontiers in Physiology, Physiological Genomics, American Journal of Physiology-Endocrinology and Metabolism and Experimental Gerontology.
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.