David Sutton
Impact in
- Virology top 5%
- Rabies epidemiology and control
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in ⓘ
- Epidemiology 14
- Virology and Viral Diseases 9
- Influenza Virus Research Studies 4
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- Viral Infections and Vectors 4
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- N.M. Greenwood (3 shared papers)N. Spibey (4 shared papers)Ian Tarpey (3 shared papers)Mirjam van Veen (2 shared papers)H. L. B. M. Klaasen (2 shared papers)M.J.C.H. Molkenboer (2 shared papers)W.S.K. Chalmers (1 shared paper)Kaan Tunceli (1 shared paper)
- Journals
- Veterinary Record (5 papers)Vaccines (4 papers)Vaccine (3 papers)Avian Pathology (2 papers)Epidemiology and Infection (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
David Sutton
24 papers receiving 408 citations
Peers
Comparison fields: 5 of 56
- Virology 111
- Animal Science and Zoology 139
- Infectious Diseases 231
- Parasitology 81
- Microbiology 38
Countries citing papers authored by David Sutton
This map shows the geographic impact of David Sutton'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 David Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sutton more than expected).
Fields of papers citing papers by David Sutton
This network shows the impact of papers produced by David Sutton. 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 David Sutton. The network helps show where David Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sutton, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 88 | |
| 2 | 2017 | 67 | |
| 3 | 2012 | 46 | |
| 4 | 2013 | 28 | |
| 5 | 2016 | 27 | |
| 6 | 2005 | 23 | |
| 7 | 2012 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2006 | 18 | |
| 10 | 2005 | 16 | |
| 11 | 2012 | 15 | |
| 12 | 2013 | 14 | |
| 13 | 2003 | 10 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2020 | 2 |
About David Sutton
David Sutton is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Genetics and Virology, having authored 24 papers that have together received 428 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Virus-based gene therapy research (9 papers), Virology and Viral Diseases (9 papers), Animal Disease Management and Epidemiology (5 papers), Rabies epidemiology and control (4 papers), Influenza Virus Research Studies (4 papers), Viral Infections and Vectors (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Virology (111 citations), Animal Science and Zoology (139 citations), Infectious Diseases (231 citations), Parasitology (81 citations) and Microbiology (38 citations). David Sutton has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include N.M. Greenwood, N. Spibey, Ian Tarpey, Mirjam van Veen, H. L. B. M. Klaasen, M.J.C.H. Molkenboer, W.S.K. Chalmers, Kaan Tunceli, Robert P. Lavan and Alasdair King. Their work appears in journals such as Veterinary Record, Vaccines, Vaccine, Avian Pathology and Epidemiology and Infection.
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.