David S. Dunn
Impact in
- Small Animals top 5%
- Veterinary medicine and infectious diseases
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
Papers in
- Immunology 11
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
- Co-authors
- Jerzy K. Kulski (12 shared papers)M. Bellgard (8 shared papers)Hidetoshi Inoko (5 shared papers)D.J. Hampson (3 shared papers)T Jenkins (6 shared papers)Paula Moolhuijzen (3 shared papers)Roberto A. Barrero (2 shared papers)D. Schibeci (2 shared papers)
- Journals
- Journal of Molecular Evolution (4 papers)Human Heredity (2 papers)Annals of Human Biology (2 papers)Electrophoresis (1 paper)Gene (1 paper)
- Partner nations
- AustraliaJapanSouth Africa
In The Last Decade
David S. Dunn
28 papers receiving 452 citations
Peers
Comparison fields: 5 of 71
- Small Animals 110
- Immunology 163
- Microbiology 42
- Genetics 67
- Molecular Biology 154
Countries citing papers authored by David S. Dunn
This map shows the geographic impact of David S. Dunn'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 S. Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Dunn more than expected).
Fields of papers citing papers by David S. Dunn
This network shows the impact of papers produced by David S. Dunn. 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 S. Dunn. The network helps show where David S. Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Dunn, 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 | 2009 | 76 | |
| 2 | 2007 | 55 | |
| 3 | 2003 | 47 | |
| 4 | 2005 | 27 | |
| 5 | 2002 | 24 | |
| 6 | 2005 | 21 | |
| 7 | 2007 | 20 | |
| 8 | 2001 | 17 | |
| 9 | 1982 | 16 | |
| 10 | 2010 | 16 | |
| 11 | 1986 | 15 | |
| 12 | 2003 | 14 | |
| 13 | 2010 | 13 | |
| 14 | 2006 | 13 | |
| 15 | 2003 | 13 | |
| 16 | 2004 | 12 | |
| 17 | 1988 | 9 | |
| 18 | 2007 | 9 | |
| 19 | 1988 | 8 | |
| 20 | 2007 | 7 |
About David S. Dunn
David S. Dunn is a scholar working on Immunology, Molecular Biology, Genetics, Small Animals and Epidemiology, having authored 28 papers that have together received 460 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Veterinary medicine and infectious diseases (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers), Forensic and Genetic Research (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Small Animals (110 citations), Immunology (163 citations), Microbiology (42 citations), Genetics (67 citations) and Molecular Biology (154 citations). David S. Dunn has collaborated with scholars based in Australia, Japan and South Africa. Frequent co-authors include Jerzy K. Kulski, M. Bellgard, Hidetoshi Inoko, D.J. Hampson, T Jenkins, Paula Moolhuijzen, Roberto A. Barrero, D. Schibeci, T. La and Karl‐Erik Johansson. Their work appears in journals such as Journal of Molecular Evolution, Human Heredity, Annals of Human Biology, Electrophoresis and Gene.
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.