David J. Sutton
Impact in
- Virology top 5%
- Rabies epidemiology and control
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Animal Virus Infections Studies 10
-
- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 4
- Co-authors
- Norman Spibey (4 shared papers)Neil M. Greenwood (3 shared papers)Ian Tarpey (3 shared papers)H. L. B. M. Klaasen (2 shared papers)Robert Philip Lavan (1 shared paper)Alasdair King (1 shared paper)Marc J.C.H. Molkenboer (2 shared papers)W.S.K. Chalmers (1 shared paper)
- Journals
- Veterinary Record (6 papers)Vaccines (4 papers)Vaccine (3 papers)Veterinary Microbiology (2 papers)Avian Pathology (2 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
David J. Sutton
27 papers receiving 556 citations
Peers
Comparison fields: 5 of 57
- Virology 183
- Animal Science and Zoology 160
- Infectious Diseases 258
- Parasitology 83
- Microbiology 53
Countries citing papers authored by David J. Sutton
This map shows the geographic impact of David J. 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 J. 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 J. Sutton more than expected).
Fields of papers citing papers by David J. Sutton
This network shows the impact of papers produced by David J. 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 J. Sutton. The network helps show where David J. Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 97 | |
| 2 | 2017 | 76 | |
| 3 | 2022 | 63 | |
| 4 | 2012 | 47 | |
| 5 | 2019 | 39 | |
| 6 | 2016 | 33 | |
| 7 | 2012 | 28 | |
| 8 | 2013 | 28 | |
| 9 | 2005 | 24 | |
| 10 | 2013 | 21 | |
| 11 | 2005 | 20 | |
| 12 | 2006 | 17 | |
| 13 | 2012 | 17 | |
| 14 | 2013 | 15 | |
| 15 | 2003 | 14 | |
| 16 | 2023 | 9 | |
| 17 | 2009 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About David J. Sutton
David J. Sutton is a scholar working on Animal Science and Zoology, Infectious Diseases, Virology, Epidemiology and Genetics, having authored 28 papers that have together received 591 indexed citations. Recurring topics across this work include Virology and Viral Diseases (11 papers), Animal Virus Infections Studies (10 papers), Virus-based gene therapy research (10 papers), Rabies epidemiology and control (6 papers), Animal Disease Management and Epidemiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (4 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Virology (183 citations), Animal Science and Zoology (160 citations), Infectious Diseases (258 citations), Parasitology (83 citations) and Microbiology (53 citations). David J. Sutton has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Norman Spibey, Neil M. Greenwood, Ian Tarpey, H. L. B. M. Klaasen, Robert Philip Lavan, Alasdair King, Marc J.C.H. Molkenboer, W.S.K. Chalmers, Kaan Tunceli and Ian Brown. Their work appears in journals such as Veterinary Record, Vaccines, Vaccine, Veterinary Microbiology and Avian Pathology.
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.