David Deane
Impact in
- Virology top 2%
- Poxvirus research and outbreaks
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Genetics 18
- Virus-based gene therapy research 11
- Immunology 17
- Immunotherapy and Immune Responses 7
- Co-authors
- David M. Haig (21 shared papers)C. M. Steel (10 shared papers)Brian Cohen (8 shared papers)Colin J. McInnes (12 shared papers)Jackie Thomson (12 shared papers)Veronica van Heyningen (5 shared papers)Keith Guy (2 shared papers)Andrew A. Mercer (6 shared papers)
- Journals
- Journal of General Virology (4 papers)Journal of Comparative Pathology (3 papers)Veterinary Research (2 papers)Veterinary Microbiology (2 papers)Journal of Immunological Methods (2 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
David Deane
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Virology 275
- Immunology 413
- Agronomy and Crop Science 160
- Epidemiology 372
- Endocrinology 58
Countries citing papers authored by David Deane
This map shows the geographic impact of David Deane'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 Deane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Deane more than expected).
Fields of papers citing papers by David Deane
This network shows the impact of papers produced by David Deane. 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 Deane. The network helps show where David Deane may publish in the future.
Co-authors
The 25 scholars most cited alongside David Deane, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 176 | |
| 2 | 2000 | 110 | |
| 3 | 2001 | 79 | |
| 4 | 2008 | 73 | |
| 5 | 1997 | 48 | |
| 6 | 2008 | 43 | |
| 7 | 2007 | 38 | |
| 8 | 1996 | 35 | |
| 9 | 1984 | 35 | |
| 10 | 1996 | 35 | |
| 11 | 2008 | 32 | |
| 12 | 2002 | 31 | |
| 13 | 1996 | 28 | |
| 14 | 2012 | 27 | |
| 15 | 2012 | 26 | |
| 16 | 2009 | 23 | |
| 17 | 2009 | 22 | |
| 18 | 1990 | 21 | |
| 19 | 2015 | 20 | |
| 20 | 1996 | 19 |
About David Deane
David Deane is a scholar working on Genetics, Immunology, Epidemiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (15 papers), Virus-based gene therapy research (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Poxvirus research and outbreaks (9 papers), Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (7 papers), Immunotherapy and Immune Responses (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Virology (275 citations), Immunology (413 citations), Agronomy and Crop Science (160 citations), Epidemiology (372 citations) and Endocrinology (58 citations). David Deane has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include David M. Haig, C. M. Steel, Brian Cohen, Colin J. McInnes, Jackie Thomson, Veronica van Heyningen, Keith Guy, Andrew A. Mercer, Ann Percival and I.E. Anderson. Their work appears in journals such as Journal of General Virology, Journal of Comparative Pathology, Veterinary Research, Veterinary Microbiology and Journal of Immunological Methods.
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.