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 173
- Epidemiology 154
- Influenza Virus Research Studies 87
- Virology and Viral Diseases 57
- Co-authors
- Ottar N. Bjørnstad (45 shared papers)Simon A. Levin (25 shared papers)Tim Clutton‐Brock (10 shared papers)Matt J. Keeling (22 shared papers)Thomas P. Van Boeckel (8 shared papers)C. Jessica E. Metcalf (80 shared papers)Franck Courchamp (6 shared papers)Cécile Viboud (40 shared papers)
- Journals
- Science (31 papers)Journal of The Royal Society Interface (31 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
421 papers receiving 40.7k citations
Bryan T. Grenfell's Hit Papers
Peers
Comparison fields: 5 of 218
- Modeling and Simulation 10.5k
- Applied Microbiology and Biotechnology 1.2k
- Infectious Diseases 8.2k
- Agronomy and Crop Science 3.8k
- Public Health, Environmental and Occupational Health 8.7k
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
Showing the 20 most-cited of 425 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global trends in antimicrobial use in food animals Hit paper breakdown → | 2015 | 2940 |
| 2 | Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data Hit paper breakdown → | 2014 | 1809 |
| 3 | Inverse density dependence and the Allee effect Hit paper breakdown → | 1999 | 1466 |
| 4 | An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China Hit paper breakdown → | 2020 | 1405 |
| 5 | Unifying the Epidemiological and Evolutionary Dynamics of Pathogens Hit paper breakdown → | 2004 | 1023 |
| 6 | Age, Sex, Density, Winter Weather, and Population Crashes in Soay Sheep Hit paper breakdown → | 2001 | 810 |
| 7 | Travelling waves and spatial hierarchies in measles epidemics Hit paper breakdown → | 2001 | 741 |
| 8 | Dynamics of the 2001 UK Foot and Mouth Epidemic: Stochastic Dispersal in a Heterogeneous Landscape Hit paper breakdown → | 2001 | 726 |
| 9 | Ecology of Infectious Diseases in Natural Populations Hit paper breakdown → | 1995 | 686 |
| 10 | Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza Hit paper breakdown → | 2006 | 661 |
| 11 | Reducing antimicrobial use in food animals Hit paper breakdown → | 2017 | 574 |
| 12 | A Simple Model for Complex Dynamical Transitions in Epidemics Hit paper breakdown → | 2000 | 536 |
| 13 | Epidemic Dynamics at the Human-Animal Interface Hit paper breakdown → | 2009 | 519 |
| 14 | When individual behaviour matters: homogeneous and network models in epidemiology Hit paper breakdown → | 2007 | 502 |
| 15 | 2001 | 497 | |
| 16 | Absolute Humidity and the Seasonal Onset of Influenza in the Continental United States Hit paper breakdown → | 2010 | 476 |
| 17 | Host densities as determinants of abundance in parasite communities Hit paper breakdown → | 1998 | 476 |
| 18 | 2004 | 473 | |
| 19 | 1998 | 464 | |
| 20 | 1996 | 437 |
About Bryan T. Grenfell
Bryan T. Grenfell is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Ecology, having authored 425 papers that have together received 42.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (173 papers), Influenza Virus Research Studies (87 papers), Mathematical and Theoretical Epidemiology and Ecology Models (74 papers), Virology and Viral Diseases (57 papers), Animal Disease Management and Epidemiology (53 papers), Evolution and Genetic Dynamics (47 papers), Parasite Biology and Host Interactions (41 papers) and Animal Ecology and Behavior Studies (37 papers). The work is most often cited by research in Modeling and Simulation (10.5k citations), Applied Microbiology and Biotechnology (1.2k citations), Infectious Diseases (8.2k citations), Agronomy and Crop Science (3.8k citations) and Public Health, Environmental and Occupational Health (8.7k 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, Thomas P. Van Boeckel, C. Jessica E. Metcalf, Franck Courchamp, Cécile Viboud, Benjamin M. Bolker and Pejman Rohani. Their work appears in journals such as Science, Journal of The Royal Society Interface, 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.