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 gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 4
- Co-authors
- N.M. Greenwood (3 shared papers)N. Spibey (4 shared papers)Ian Tarpey (3 shared papers)M.J.C.H. Molkenboer (2 shared papers)H. L. B. M. Klaasen (2 shared papers)Kaan Tunceli (1 shared paper)Alasdair King (1 shared paper)W.S.K. Chalmers (1 shared paper)
- Journals
- Veterinary Record (5 papers)Vaccines (4 papers)Vaccine (3 papers)Avian Pathology (2 papers)Avian Diseases (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
David Sutton
24 papers receiving 418 citations
Peers
Comparison fields: 5 of 51
- Virology 112
- Animal Science and Zoology 128
- Parasitology 79
- Infectious Diseases 204
- Microbiology 35
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 | 90 | |
| 2 | 2017 | 70 | |
| 3 | 2012 | 46 | |
| 4 | 2013 | 28 | |
| 5 | 2016 | 27 | |
| 6 | 2005 | 23 | |
| 7 | 2012 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2006 | 18 | |
| 10 | 2005 | 17 | |
| 11 | 2012 | 15 | |
| 12 | 2013 | 14 | |
| 13 | 2003 | 10 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2014 | 3 |
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 436 indexed citations. Recurring topics across this work include Virology and Viral Diseases (9 papers), Virus-based gene therapy research (9 papers), Animal Virus Infections Studies (9 papers), Animal Disease Management and Epidemiology (5 papers), Rabies epidemiology and control (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Influenza Virus Research Studies (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Virology (112 citations), Animal Science and Zoology (128 citations), Parasitology (79 citations), Infectious Diseases (204 citations) and Microbiology (35 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, M.J.C.H. Molkenboer, H. L. B. M. Klaasen, Kaan Tunceli, Alasdair King, W.S.K. Chalmers, Robert P. Lavan and Ian H. Brown. Their work appears in journals such as Veterinary Record, Vaccines, Vaccine, Avian Pathology and Avian Diseases.
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.