Daniel J. Laydon
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
Papers in
- Immunology 15
- T-cell and Retrovirus Studies 14
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- Animal Disease Management and Epidemiology 11
- Co-authors
- Charles R. M. Bangham (14 shared papers)Becca Asquith (9 shared papers)Neil M. Ferguson (12 shared papers)Anat Melamed (11 shared papers)Graham P. Taylor (8 shared papers)Ilaria Dorigatti (3 shared papers)Luis Mier-y-Terán-Romero (1 shared paper)Derek A. T. Cummings (1 shared paper)
- Journals
- Retrovirology (6 papers)PLoS Pathogens (3 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)PLoS Computational Biology (2 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Daniel J. Laydon
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 137
- Agronomy and Crop Science 302
- Immunology 537
- Ecology, Evolution, Behavior and Systematics 260
- Infectious Diseases 197
Countries citing papers authored by Daniel J. Laydon
This map shows the geographic impact of Daniel J. Laydon'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 Daniel J. Laydon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Laydon more than expected).
Fields of papers citing papers by Daniel J. Laydon
This network shows the impact of papers produced by Daniel J. Laydon. 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 Daniel J. Laydon. The network helps show where Daniel J. Laydon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Laydon, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 189 | |
| 2 | 2015 | 152 | |
| 3 | 2014 | 103 | |
| 4 | 2013 | 82 | |
| 5 | 2021 | 77 | |
| 6 | 2021 | 71 | |
| 7 | 2014 | 67 | |
| 8 | 2016 | 55 | |
| 9 | 2013 | 45 | |
| 10 | 2021 | 41 | |
| 11 | 2014 | 35 | |
| 12 | 2014 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2012 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2021 | 14 |
About Daniel J. Laydon
Daniel J. Laydon is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Modeling and Simulation and Infectious Diseases, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (14 papers), Animal Disease Management and Epidemiology (11 papers), COVID-19 epidemiological studies (8 papers), Vector-Borne Animal Diseases (8 papers), Global Health Care Issues (3 papers), Mosquito-borne diseases and control (3 papers), Viral Infections and Outbreaks Research (3 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Agronomy and Crop Science (302 citations), Immunology (537 citations), Ecology, Evolution, Behavior and Systematics (260 citations) and Infectious Diseases (197 citations). Daniel J. Laydon has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Charles R. M. Bangham, Becca Asquith, Neil M. Ferguson, Anat Melamed, Graham P. Taylor, Ilaria Dorigatti, Luis Mier-y-Terán-Romero, Derek A. T. Cummings, Isabel Rodríguez-Barraquer and Nicolas Gillet. Their work appears in journals such as Retrovirology, PLoS Pathogens, Journal of the Royal Statistical Society Series A (Statistics in Society), PLoS Computational Biology and Nature Communications.
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.