Daniel J. Laydon
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
Papers in
- Immunology 14
- T-cell and Retrovirus Studies 13
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- Animal Disease Management and Epidemiology 13
- Co-authors
- Charles R. M. Bangham (13 shared papers)Becca Asquith (8 shared papers)Neil M. Ferguson (12 shared papers)Anat Melamed (10 shared papers)Graham P. Taylor (8 shared papers)Ilaria Dorigatti (3 shared papers)Isabel Rodríguez-Barraquer (1 shared paper)Derek A. T. Cummings (1 shared paper)
- Journals
- Retrovirology (5 papers)PLoS Pathogens (3 papers)Nature Communications (2 papers)PLoS Computational Biology (2 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Daniel J. Laydon
32 papers receiving 1.4k citations
Daniel J. Laydon's Hit Papers
Peers
Comparison fields: 5 of 118
- Modeling and Simulation 372
- Agronomy and Crop Science 338
- Immunology 524
- Infectious Diseases 337
- Ecology, Evolution, Behavior and Systematics 295
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe Hit paper breakdown → | 2020 | 307 |
| 2 | 2016 | 177 | |
| 3 | 2015 | 144 | |
| 4 | 2014 | 99 | |
| 5 | 2013 | 78 | |
| 6 | 2021 | 72 | |
| 7 | 2021 | 67 | |
| 8 | 2014 | 64 | |
| 9 | 2016 | 53 | |
| 10 | 2013 | 44 | |
| 11 | 2021 | 36 | |
| 12 | 2014 | 31 | |
| 13 | 2015 | 29 | |
| 14 | 2014 | 26 | |
| 15 | 2020 | 26 | |
| 16 | 2018 | 20 | |
| 17 | 2012 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 15 | |
| 20 | 2014 | 15 |
About Daniel J. Laydon
Daniel J. Laydon is a scholar working on Immunology, Agronomy and Crop Science, Modeling and Simulation, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (13 papers), T-cell and Retrovirus Studies (13 papers), COVID-19 epidemiological studies (13 papers), Vector-Borne Animal Diseases (10 papers), Viral Infections and Outbreaks Research (5 papers), Global Health Care Issues (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Pandemic Impacts (3 papers). The work is most often cited by research in Modeling and Simulation (372 citations), Agronomy and Crop Science (338 citations), Immunology (524 citations), Infectious Diseases (337 citations) and Ecology, Evolution, Behavior and Systematics (295 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, Isabel Rodríguez-Barraquer, Derek A. T. Cummings, Luis Mier-y-Terán-Romero and Nicolas Gillet. Their work appears in journals such as Retrovirology, PLoS Pathogens, Nature Communications, PLoS Computational Biology and Journal of the Royal Statistical Society Series A (Statistics in Society).
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.