Sharon K. Greene
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Toxicology top 2%
Papers in
- Epidemiology 30
- Influenza Virus Research Studies 14
- Data-Driven Disease Surveillance 14
- Respiratory viral infections research 5
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- COVID-19 epidemiological studies 13
- Co-authors
- Grace M. Lee (9 shared papers)Claudia Vellozzi (6 shared papers)Martin Kulldorff (12 shared papers)Kiyotaka Watanabe (1 shared paper)Lillian Lou (1 shared paper)Eric Weintraub (11 shared papers)Robert M. Hoekstra (3 shared papers)Annie D. Fine (8 shared papers)
- Journals
- Epidemiology and Infection (6 papers)Vaccine (5 papers)Emerging infectious diseases (5 papers)American Journal of Epidemiology (4 papers)Influenza and Other Respiratory Viruses (3 papers)
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Sharon K. Greene
66 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 129
- Modeling and Simulation 197
- Toxicology 93
- Endocrinology 134
- Infectious Diseases 437
- Biotechnology 204
Countries citing papers authored by Sharon K. Greene
This map shows the geographic impact of Sharon K. Greene'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 Sharon K. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon K. Greene more than expected).
Fields of papers citing papers by Sharon K. Greene
This network shows the impact of papers produced by Sharon K. Greene. 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 Sharon K. Greene. The network helps show where Sharon K. Greene may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharon K. Greene, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 313 | |
| 2 | 1995 | 175 | |
| 3 | 2013 | 162 | |
| 4 | 2012 | 122 | |
| 5 | 2020 | 115 | |
| 6 | 2009 | 106 | |
| 7 | 2011 | 104 | |
| 8 | 2019 | 91 | |
| 9 | 2012 | 73 | |
| 10 | 2006 | 58 | |
| 11 | 2015 | 48 | |
| 12 | 2016 | 43 | |
| 13 | 2012 | 41 | |
| 14 | 2009 | 41 | |
| 15 | 2013 | 41 | |
| 16 | 2011 | 40 | |
| 17 | 2017 | 38 | |
| 18 | 2008 | 37 | |
| 19 | 2015 | 36 | |
| 20 | 2013 | 34 |
About Sharon K. Greene
Sharon K. Greene is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health and Food Science, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Data-Driven Disease Surveillance (14 papers), COVID-19 epidemiological studies (13 papers), Food Safety and Hygiene (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (197 citations), Toxicology (93 citations), Endocrinology (134 citations), Infectious Diseases (437 citations) and Biotechnology (204 citations). Sharon K. Greene has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Grace M. Lee, Claudia Vellozzi, Martin Kulldorff, Kiyotaka Watanabe, Lillian Lou, Eric Weintraub, Robert M. Hoekstra, Annie D. Fine, Steven J. Jacobsen and Stacy Holzbauer. Their work appears in journals such as Epidemiology and Infection, Vaccine, Emerging infectious diseases, American Journal of Epidemiology and Influenza and Other Respiratory Viruses.
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.