W. T. Matthew
- Physiology
- Cell Biology
- Health, Toxicology and Mutagenesis top 10%
- Rehabilitation top 10%
- Molecular Biology
- Co-authors
- Richard W. HubbardRalph P. FrancesconiOwen MallerM. J. DurkotDianne EngellWilliam R. SanteeK. B. PandolfDaniel S. Moran
- Topics
- Thermoregulation and physiological responses (7 papers)Climate Change and Health Impacts (5 papers)Building Energy and Comfort Optimization (2 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
W. T. Matthew
12 papers receiving 271 citations
Peers
Comparison fields: 5 of 80
- Physiology 175
- Cell Biology 86
- Health, Toxicology and Mutagenesis 67
- Rehabilitation 62
- Molecular Biology 47
Countries citing papers authored by W. T. Matthew
This map shows the geographic impact of W. T. Matthew'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 W. T. Matthew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. T. Matthew more than expected).
Fields of papers citing papers by W. T. Matthew
This network shows the impact of papers produced by W. T. Matthew. 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 W. T. Matthew. The network helps show where W. T. Matthew may publish in the future.
Co-authorship network of co-authors of W. T. Matthew
This figure shows the co-authorship network connecting the top 25 collaborators of W. T. Matthew. A scholar is included among the top collaborators of W. T. Matthew 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 W. T. Matthew. W. T. Matthew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 9 | |
| 3 | Cross validation of USARIEM heat strain prediction models. U.S. ARMY Research Institute of Environmental Medicine. | 21 |
| 4 | Modeling analysis of women litter bearers during heat stress. | 5 |
| 5 | 11 | |
| 6 | Simulated Approach Marches During Thermal Stress: A P2NBC2 Study | 6 |
| 7 | Variability in intake and dehydration in young men during a simulated desert walk. | 10 |
| 8 | Mechanisms of voluntary dehydration among troops in the field. | 5 |
| 9 | 107 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 87 |
About W. T. Matthew
W. T. Matthew is a scholar working on Occupational Therapy, Health, Toxicology and Mutagenesis and Physiology, having authored 12 papers that have together received 294 indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (7 papers), Climate Change and Health Impacts (5 papers) and Building Energy and Comfort Optimization (2 papers). The work is most often cited by research in Rehabilitation (62 citations), Physiology (175 citations) and Orthopedics and Sports Medicine (46 citations). W. T. Matthew has collaborated with scholars based in United States and Israel. Frequent co-authors include Richard W. Hubbard, Ralph P. Francesconi, Owen Maller, M. J. Durkot, Dianne Engell, William R. Santee, K. B. Pandolf, Daniel S. Moran, Scott J. Montain and Yuval Heled. Their work appears in journals such as Analytical Biochemistry, Journal of Applied Physiology and Lipids.
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.