Bryan T. Grenfell
Impact in
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies
- Applied Microbiology and Biotechnology top 0.05%
Papers in
-
- COVID-19 epidemiological studies 175
-
- SARS-CoV-2 and COVID-19 Research 34
- Co-authors
- Ottar N. BjørnstadSimon A. LevinTim Clutton‐BrockMatt J. KeelingC. Jessica E. MetcalfThomas P. Van BoeckelFranck CourchampCécile Viboud
- Journals
- Journal of The Royal Society Interface (31 papers)Science (30 papers)Proceedings of the National Academy of Sciences (26 papers)Proceedings of the Royal Society B Biological Sciences (25 papers)Parasitology (20 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Bryan T. Grenfell
402 papers receiving 36.9k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Modeling and Simulation 10.0k
- Applied Microbiology and Biotechnology 1.3k
- Infectious Diseases 8.4k
- Agronomy and Crop Science 3.8k
- Molecular Medicine 1.7k
Countries citing papers authored by Bryan T. Grenfell
This map shows the geographic impact of Bryan T. Grenfell'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 Bryan T. Grenfell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan T. Grenfell more than expected).
Fields of papers citing papers by Bryan T. Grenfell
This network shows the impact of papers produced by Bryan T. Grenfell. 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 Bryan T. Grenfell. The network helps show where Bryan T. Grenfell may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan T. Grenfell, 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 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 126 | |
| 6 | 2021 | 33 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 322 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 150 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 19 | |
| 17 | 2015 | 262 | |
| 18 | 2011 | 67 | |
| 19 | 2009 | 15 | |
| 20 | Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza Hit paper breakdown → | 2006 | 637 |
About Bryan T. Grenfell
Bryan T. Grenfell is a scholar working on Modeling and Simulation, Infectious Diseases, Agronomy and Crop Science, Epidemiology and Health, having authored 407 papers that have together received 38.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (175 papers), Influenza Virus Research Studies (93 papers), Mathematical and Theoretical Epidemiology and Ecology Models (73 papers), Virology and Viral Diseases (59 papers), Animal Disease Management and Epidemiology (54 papers), Evolution and Genetic Dynamics (46 papers), Parasite Biology and Host Interactions (38 papers) and SARS-CoV-2 and COVID-19 Research (34 papers). The work is most often cited by research in Modeling and Simulation (10.0k citations), Applied Microbiology and Biotechnology (1.3k citations), Infectious Diseases (8.4k citations), Agronomy and Crop Science (3.8k citations) and Molecular Medicine (1.7k citations). Bryan T. Grenfell has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ottar N. Bjørnstad, Simon A. Levin, Tim Clutton‐Brock, Matt J. Keeling, C. Jessica E. Metcalf, Thomas P. Van Boeckel, Franck Courchamp, Cécile Viboud, Benjamin M. Bolker and Pejman Rohani. Their work appears in journals such as Journal of The Royal Society Interface, Science, Proceedings of the National Academy of Sciences, Proceedings of the Royal Society B Biological Sciences and Parasitology.
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.