Daniel J. King
Impact in
- Animal Science and Zoology top 0.1%
- Animal Virus Infections Studies
- Agronomy and Crop Science top 0.2%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 58
- Virology and Viral Diseases 55
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- Animal Virus Infections Studies 52
- Co-authors
- Bruce S. Seal (27 shared papers)Darrell R. Kapczynski (9 shared papers)David L. Suarez (8 shared papers)Corrie C. Brown (15 shared papers)Claudio L. Afonso (7 shared papers)Patti J. Miller (4 shared papers)Dennis A. Senne (4 shared papers)David E. Swayne (7 shared papers)
- Journals
- Avian Diseases (31 papers)Journal of Clinical Microbiology (6 papers)Virus Research (4 papers)Veterinary Pathology (4 papers)Vaccine (3 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Daniel J. King
82 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 88
- Animal Science and Zoology 2.3k
- Agronomy and Crop Science 1.3k
- Epidemiology 3.0k
- Infectious Diseases 1.2k
- Microbiology 271
Countries citing papers authored by Daniel J. King
This map shows the geographic impact of Daniel J. King'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 Daniel J. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. King more than expected).
Fields of papers citing papers by Daniel J. King
This network shows the impact of papers produced by Daniel J. King. 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 Daniel J. King. The network helps show where Daniel J. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. King, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 420 | |
| 2 | 2007 | 249 | |
| 3 | 2005 | 205 | |
| 4 | 2007 | 195 | |
| 5 | 2000 | 151 | |
| 6 | 2009 | 146 | |
| 7 | 1999 | 130 | |
| 8 | 2010 | 127 | |
| 9 | 2007 | 106 | |
| 10 | 2001 | 105 | |
| 11 | 2006 | 101 | |
| 12 | 2004 | 99 | |
| 13 | 2003 | 85 | |
| 14 | 2008 | 85 | |
| 15 | 2003 | 74 | |
| 16 | 2002 | 74 | |
| 17 | 2000 | 64 | |
| 18 | 1998 | 59 | |
| 19 | 2007 | 56 | |
| 20 | 2009 | 53 |
About Daniel J. King
Daniel J. King is a scholar working on Epidemiology, Animal Science and Zoology, Agronomy and Crop Science, Infectious Diseases and Genetics, having authored 82 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virology and Viral Diseases (55 papers), Animal Virus Infections Studies (52 papers), Animal Disease Management and Epidemiology (26 papers), Virus-based gene therapy research (20 papers), Viral gastroenteritis research and epidemiology (16 papers), Vector-Borne Animal Diseases (15 papers), Viral Infections and Vectors (8 papers) and vaccines and immunoinformatics approaches (6 papers). The work is most often cited by research in Animal Science and Zoology (2.3k citations), Agronomy and Crop Science (1.3k citations), Epidemiology (3.0k citations), Infectious Diseases (1.2k citations) and Microbiology (271 citations). Daniel J. King has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Bruce S. Seal, Darrell R. Kapczynski, David L. Suarez, Corrie C. Brown, Claudio L. Afonso, Patti J. Miller, Dennis A. Senne, David E. Swayne, Janice C. Pedersen and Mark G. Wise. Their work appears in journals such as Avian Diseases, Journal of Clinical Microbiology, Virus Research, Veterinary Pathology and Vaccine.
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.