Thomas Ward
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 10
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 2
- Co-authors
- Christopher E. Overton (13 shared papers)Robert S. Paton (6 shared papers)Rachel Christie (4 shared papers)Helga V. Toriello (1 shared paper)Bob Carpenter (2 shared papers)Ghayda Mirzaa (1 shared paper)Bradley V. Davitt (1 shared paper)Alma R. Bicknese (1 shared paper)
- Journals
- Journal of Infection (4 papers)Nature Communications (2 papers)Epidemiology and Infection (2 papers)PLoS Computational Biology (2 papers)International Journal of Infectious Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesSlovakia
In The Last Decade
Thomas Ward
21 papers receiving 294 citations
Peers
Comparison fields: 5 of 65
- Virology 86
- Modeling and Simulation 67
- Infectious Diseases 81
- Epidemiology 70
- Molecular Biology 84
Countries citing papers authored by Thomas Ward
This map shows the geographic impact of Thomas Ward'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 Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Ward more than expected).
Fields of papers citing papers by Thomas Ward
This network shows the impact of papers produced by Thomas Ward. 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 Ward. The network helps show where Thomas Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Ward, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2022 | 45 | |
| 3 | 2014 | 38 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Thomas Ward
Thomas Ward is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Molecular Biology and Virology, having authored 26 papers that have together received 298 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (5 papers), Data-Driven Disease Surveillance (5 papers), Poxvirus research and outbreaks (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Virology (86 citations), Modeling and Simulation (67 citations), Infectious Diseases (81 citations), Epidemiology (70 citations) and Molecular Biology (84 citations). Thomas Ward has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Christopher E. Overton, Robert S. Paton, Rachel Christie, Helga V. Toriello, Bob Carpenter, Ghayda Mirzaa, Bradley V. Davitt, Alma R. Bicknese, François Chollet and Laura B. Enyedi. Their work appears in journals such as Journal of Infection, Nature Communications, Epidemiology and Infection, PLoS Computational Biology and International Journal of Infectious Diseases.
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.