Craig Smith
Impact in
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Virology top 1%
- Rabies epidemiology and control
Papers in
-
- Viral Infections and Vectors 21
- Epidemiology 22
- Virology and Viral Diseases 22
- Co-authors
- Hume Field (24 shared papers)Peter Daszak (5 shared papers)Lin‐Fa Wang (6 shared papers)Gary Crameri (5 shared papers)Meng Yu (4 shared papers)Jonathan H. Epstein (4 shared papers)Jennifer A. McEachern (2 shared papers)Zhìhóng Hú (1 shared paper)
- Journals
- PLoS ONE (7 papers)Journal of General Virology (3 papers)Epidemiology and Infection (2 papers)Journal of Wildlife Diseases (2 papers)Hydrobiologia (2 papers)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Craig Smith
38 papers receiving 3.7k citations
Craig Smith's Hit Papers
Peers
Comparison fields: 5 of 132
- Infectious Diseases 2.5k
- Virology 511
- Animal Science and Zoology 585
- Modeling and Simulation 241
- Epidemiology 1.1k
Countries citing papers authored by Craig Smith
This map shows the geographic impact of Craig Smith'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 Craig Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Smith more than expected).
Fields of papers citing papers by Craig Smith
This network shows the impact of papers produced by Craig Smith. 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 Craig Smith. The network helps show where Craig Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Craig Smith, 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 38 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 | 2012 | 249 | |
| 3 | 2008 | 236 | |
| 4 | 2009 | 173 | |
| 5 | 2009 | 132 | |
| 6 | 2008 | 105 | |
| 7 | 2011 | 101 | |
| 8 | 2010 | 89 | |
| 9 | 2015 | 84 | |
| 10 | 2011 | 74 | |
| 11 | 2006 | 69 | |
| 12 | 2006 | 60 | |
| 13 | 2014 | 58 | |
| 14 | 2009 | 50 | |
| 15 | 2004 | 49 | |
| 16 | 2012 | 48 | |
| 17 | 2002 | 45 | |
| 18 | 2015 | 44 | |
| 19 | 2017 | 44 | |
| 20 | 2014 | 37 |
About Craig Smith
Craig Smith is a scholar working on Infectious Diseases, Epidemiology, Virology, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 38 papers that have together received 3.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (22 papers), Viral Infections and Vectors (21 papers), Rabies epidemiology and control (13 papers), Wildlife Ecology and Conservation (3 papers), Vector-Borne Animal Diseases (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Coastal wetland ecosystem dynamics (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Virology (511 citations), Animal Science and Zoology (585 citations), Modeling and Simulation (241 citations) and Epidemiology (1.1k citations). Craig Smith has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Hume Field, Peter Daszak, Lin‐Fa Wang, Gary Crameri, Meng Yu, Jonathan H. Epstein, Jennifer A. McEachern, Zhìhóng Hú, Wuze Ren and Hanzhong Wang. Their work appears in journals such as PLoS ONE, Journal of General Virology, Epidemiology and Infection, Journal of Wildlife Diseases and Hydrobiologia.
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.