Hume Field
Impact in
- Virology top 0.2%
- Rabies epidemiology and control
- Infectious Diseases top 0.05%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Viral Infections and Vectors 94
- SARS-CoV-2 and COVID-19 Research 9
- Epidemiology 86
- Virology and Viral Diseases 86
- Co-authors
- Peter Daszak (25 shared papers)Craig Smith (24 shared papers)Jonathan H. Epstein (20 shared papers)Lin‐Fa Wang (20 shared papers)J. S. Mackenzie (7 shared papers)James E. Childs (1 shared paper)Charles H. Calisher (1 shared paper)Tony Schountz (1 shared paper)
- Journals
- PLoS ONE (21 papers)Emerging infectious diseases (14 papers)EcoHealth (9 papers)Zoonoses and Public Health (6 papers)Epidemiology and Infection (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Hume Field
130 papers receiving 10.2k citations
Hume Field's Hit Papers
Peers
Comparison fields: 5 of 146
- Virology 2.0k
- Infectious Diseases 7.3k
- Modeling and Simulation 625
- Epidemiology 4.1k
- Animal Science and Zoology 1.2k
Countries citing papers authored by Hume Field
This map shows the geographic impact of Hume Field'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 Hume Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hume Field more than expected).
Fields of papers citing papers by Hume Field
This network shows the impact of papers produced by Hume Field. 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 Hume Field. The network helps show where Hume Field may publish in the future.
Co-authors
The 25 scholars most cited alongside Hume Field, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bats Are Natural Reservoirs of SARS-Like Coronaviruses Hit paper breakdown → | 2005 | 1793 |
| 2 | Bats: Important Reservoir Hosts of Emerging Viruses Hit paper breakdown → | 2006 | 1083 |
| 3 | 2000 | 499 | |
| 4 | 2001 | 379 | |
| 5 | 2001 | 351 | |
| 6 | 2011 | 307 | |
| 7 | 2001 | 306 | |
| 8 | 2006 | 304 | |
| 9 | 2012 | 249 | |
| 10 | 2011 | 248 | |
| 11 | 2008 | 236 | |
| 12 | 2011 | 216 | |
| 13 | 2004 | 208 | |
| 14 | 2006 | 174 | |
| 15 | 2010 | 153 | |
| 16 | 2012 | 147 | |
| 17 | 2009 | 132 | |
| 18 | 2009 | 122 | |
| 19 | 2010 | 106 | |
| 20 | 2007 | 105 |
About Hume Field
Hume Field is a scholar working on Infectious Diseases, Epidemiology, Virology, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 131 papers that have together received 10.5k indexed citations. Recurring topics across this work include Viral Infections and Vectors (94 papers), Virology and Viral Diseases (86 papers), Rabies epidemiology and control (57 papers), Bat Biology and Ecology Studies (19 papers), Zoonotic diseases and public health (17 papers), Vector-Borne Animal Diseases (16 papers), Animal Disease Management and Epidemiology (13 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Virology (2.0k citations), Infectious Diseases (7.3k citations), Modeling and Simulation (625 citations), Epidemiology (4.1k citations) and Animal Science and Zoology (1.2k citations). Hume Field has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Peter Daszak, Craig Smith, Jonathan H. Epstein, Lin‐Fa Wang, J. S. Mackenzie, James E. Childs, Charles H. Calisher, Tony Schountz, Kathryn V. Holmes and Kim Halpin. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, EcoHealth, Zoonoses and Public Health and Epidemiology and Infection.
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.