William G. Dundon
Impact in
- Virology top 5%
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 55
- Virology and Viral Diseases 36
- Influenza Virus Research Studies 16
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- Viral Infections and Vectors 27
- Viral gastroenteritis research and epidemiology 10
- Co-authors
- Cesare Montecucco (10 shared papers)Giovanni Cattoli (52 shared papers)Rino Rappuoli (7 shared papers)Giuseppe Del Giudice (5 shared papers)Ilaria Capua (7 shared papers)E. Papinutto (3 shared papers)Giuseppe Zanotti (3 shared papers)Marina de Bernard (3 shared papers)
In The Last Decade
William G. Dundon
100 papers receiving 2.0k citations
William G. Dundon's Hit Papers
Peers
Comparison fields: 5 of 96
- Virology 187
- Agronomy and Crop Science 368
- Infectious Diseases 580
- Animal Science and Zoology 321
- Epidemiology 879
Countries citing papers authored by William G. Dundon
This map shows the geographic impact of William G. Dundon'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 William G. Dundon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Dundon more than expected).
Fields of papers citing papers by William G. Dundon
This network shows the impact of papers produced by William G. Dundon. 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 William G. Dundon. The network helps show where William G. Dundon may publish in the future.
Co-authors
The 25 scholars most cited alongside William G. Dundon, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ICTV Virus Taxonomy Profile: Paramyxoviridae Hit paper breakdown → | 2019 | 222 |
| 2 | 1999 | 138 | |
| 3 | 2002 | 120 | |
| 4 | 2002 | 101 | |
| 5 | 2009 | 92 | |
| 6 | 2002 | 74 | |
| 7 | 1998 | 70 | |
| 8 | 2011 | 67 | |
| 9 | 2009 | 56 | |
| 10 | 2001 | 53 | |
| 11 | 2001 | 51 | |
| 12 | 2002 | 50 | |
| 13 | 2020 | 49 | |
| 14 | 2001 | 48 | |
| 15 | 2006 | 45 | |
| 16 | 2019 | 41 | |
| 17 | 2009 | 37 | |
| 18 | 2001 | 33 | |
| 19 | 2021 | 30 | |
| 20 | 2014 | 29 |
About William G. Dundon
William G. Dundon is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology and Molecular Biology, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virology and Viral Diseases (36 papers), Animal Disease Management and Epidemiology (31 papers), Viral Infections and Vectors (27 papers), Animal Virus Infections Studies (24 papers), Influenza Virus Research Studies (16 papers), Helicobacter pylori-related gastroenterology studies (14 papers), Vector-Borne Animal Diseases (11 papers) and Viral gastroenteritis research and epidemiology (10 papers). The work is most often cited by research in Virology (187 citations), Agronomy and Crop Science (368 citations), Infectious Diseases (580 citations), Animal Science and Zoology (321 citations) and Epidemiology (879 citations). William G. Dundon has collaborated with scholars based in Austria, Italy and Namibia. Frequent co-authors include Cesare Montecucco, Giovanni Cattoli, Rino Rappuoli, Giuseppe Del Giudice, Ilaria Capua, E. Papinutto, Giuseppe Zanotti, Marina de Bernard, Roberto Battistutta and Umberto Molini. Their work appears in journals such as Transboundary and Emerging Diseases, Archives of Virology, Virus Genes, Veterinary Research Communications 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.