William D. Wheaton
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 8
-
- Influenza Virus Research Studies 5
- Co-authors
- Shawn T. Brown (13 shared papers)John J. Grefenstette (9 shared papers)Bruce Y. Lee (11 shared papers)Philip C. Cooley (10 shared papers)Donald S. Burke (8 shared papers)Richard K. Zimmerman (7 shared papers)Shanta M. Zimmer (6 shared papers)Diane K. Wagener (6 shared papers)
- Journals
- American Journal of Preventive Medicine (3 papers)BMC Public Health (3 papers)Journal of Public Health Management and Practice (2 papers)Computational and Mathematical Organization Theory (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJordanJapan
In The Last Decade
William D. Wheaton
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 474
- Health 104
- Epidemiology 344
- Infectious Diseases 188
- Biochemistry 43
Countries citing papers authored by William D. Wheaton
This map shows the geographic impact of William D. Wheaton'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 D. Wheaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Wheaton more than expected).
Fields of papers citing papers by William D. Wheaton
This network shows the impact of papers produced by William D. Wheaton. 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 D. Wheaton. The network helps show where William D. Wheaton may publish in the future.
Co-authors
The 25 scholars most cited alongside William D. Wheaton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 162 | |
| 2 | 2010 | 142 | |
| 3 | 2007 | 139 | |
| 4 | 2010 | 138 | |
| 5 | 2010 | 113 | |
| 6 | 2011 | 95 | |
| 7 | 2011 | 90 | |
| 8 | 2009 | 82 | |
| 9 | 2015 | 66 | |
| 10 | 2010 | 54 | |
| 11 | 2011 | 42 | |
| 12 | 2010 | 36 | |
| 13 | 2015 | 18 | |
| 14 | 2008 | 15 | |
| 15 | 2013 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2013 | 7 | |
| 18 | Continuation of Vaccination Deep into a Pandemic Wave: Potential Mechanisms for a "Third Wave" and the Impact of Vaccination | 2010 | 2 |
| 19 | 2015 | 2 |
About William D. Wheaton
William D. Wheaton is a scholar working on Modeling and Simulation, Epidemiology, Health, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (5 papers), Vaccine Coverage and Hesitancy (3 papers), Phytochemicals and Antioxidant Activities (1 paper), Sex work and related issues (1 paper), Streptococcal Infections and Treatments (1 paper), Zoonotic diseases and public health (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Modeling and Simulation (474 citations), Health (104 citations), Epidemiology (344 citations), Infectious Diseases (188 citations) and Biochemistry (43 citations). William D. Wheaton has collaborated with scholars based in United States, Jordan and Japan. Frequent co-authors include Shawn T. Brown, John J. Grefenstette, Bruce Y. Lee, Philip C. Cooley, Donald S. Burke, Richard K. Zimmerman, Shanta M. Zimmer, Diane K. Wagener, Rachel R. Bailey and Tina-Marie Assi. Their work appears in journals such as American Journal of Preventive Medicine, BMC Public Health, Journal of Public Health Management and Practice, Computational and Mathematical Organization Theory and Proceedings of the National Academy of Sciences.
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.