Bryan T. Grenfell

402 papers receiving 36.9k citations

Hit Papers

Aggregated mobility data could help fight COVID-19 2020 · 279 citations
279199520262005201550010001.5k2.0k2.5k

Peers

Bryan T. Grenfell
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
Replace Roy M. Anderson with:
Roy M. Anderson United Kingdom
Kwok‐Yung Yuen Hong Kong
Mark Woolhouse United Kingdom
Marc Lipsitch United States
Jeremy Farrar Vietnam
George F. Gao China
Simon A. Levin United States
David L. Smith United States
Simon I Hay United Kingdom
Marius Gilbert Belgium
Bryan T. Grenfell relative to Roy M. Anderson United Kingdom Roy M. Anderson's profile →
Citations per field
00.5×3.4×
Roy M. Anderson · 1×
Citations per year

Countries citing papers authored by Bryan T. Grenfell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bryan T. Grenfell Line = papers co-authored together Bryan T. Grenfell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20240
3 20249
4 202315
5 2021126
6 202133
7 20206
8 2020322
9 20207
10 202011
11 20205
12 202031
13 20208
14 2020150
15 201828
16 201819
17 2015262
18 201167
19 200915
20
Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza
Hit paper breakdown →
2006637

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.

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