Thomas E. Woolley
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 6
- Cell Biology top 5%
- Skin and Cellular Biology Research 5
- Cellular Mechanics and Interactions 5
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- Nonlinear Dynamics and Pattern Formation 12
- Developmental Biology top 10%
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- Probabilistic and Robust Engineering Design 8
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- Gene Regulatory Network Analysis 14
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- Elasticity and Material Modeling 7
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- Blood properties and coagulation 4
- Co-authors
- Eamonn A. GaffneyPhilip K. MainiRuth E. BakerAlain GorielyGiuseppe ViglialoroL. Angela MihaiAndrew L. KrauseCheryll Tickle
- Journals
- Journal of Theoretical Biology (4 papers)Physical review. E (3 papers)Journal of The Royal Society Interface (3 papers)
- Partner nations
- United KingdomUnited StatesSlovakia
In The Last Decade
Thomas E. Woolley
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Modeling and Simulation 182
- Cell Biology 274
- Computer Networks and Communications 269
- Developmental Biology 21
- Statistics, Probability and Uncertainty 68
Countries citing papers authored by Thomas E. Woolley
This map shows the geographic impact of Thomas E. Woolley'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 Thomas E. Woolley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Woolley more than expected).
Fields of papers citing papers by Thomas E. Woolley
This network shows the impact of papers produced by Thomas E. Woolley. 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 Thomas E. Woolley. The network helps show where Thomas E. Woolley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas E. Woolley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 3 | |
| 14 | Likely equilibria of the stochastic Rivlin cube | 2019 | 9 |
| 15 | 2019 | 35 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2011 | 47 | |
| 20 | 2010 | 22 |
About Thomas E. Woolley
Thomas E. Woolley is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty, Developmental Biology, Health Informatics and Cell Biology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Probabilistic and Robust Engineering Design (8 papers), Elasticity and Material Modeling (7 papers), Mathematical Biology Tumor Growth (6 papers), Skin and Cellular Biology Research (5 papers), Cellular Mechanics and Interactions (5 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Modeling and Simulation (182 citations), Cell Biology (274 citations), Computer Networks and Communications (269 citations), Developmental Biology (21 citations) and Statistics, Probability and Uncertainty (68 citations). Thomas E. Woolley has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Eamonn A. Gaffney, Philip K. Maini, Ruth E. Baker, Alain Goriely, Giuseppe Viglialoro, L. Angela Mihai, Andrew L. Krause, Cheryll Tickle, J. L. Aragón and Rafael A. Barrio. Their work appears in journals such as Journal of Theoretical Biology, Physical review. E, Journal of The Royal Society Interface, Bulletin of Mathematical Biology and Frontiers in Cell and Developmental Biology.
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.