Sharon Reece
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Health 13
- Vaccine Coverage and Hesitancy 13
-
- COVID-19 Impact on Reproduction 4
- Co-authors
- Pearl A. McElfish (21 shared papers)Don E. Willis (15 shared papers)Rachel Smith Purvis (7 shared papers)Ramey A. Moore (6 shared papers)Emily Hallgren (3 shared papers)James P. Selig (9 shared papers)Sumit K. Shah (6 shared papers)Jennifer A. Andersen (8 shared papers)
- Journals
- Vaccine (3 papers)Human Vaccines & Immunotherapeutics (2 papers)Clinical and Translational Science (2 papers)Journal of Community Health (2 papers)Vaccines (2 papers)
- Partner nations
- United StatesCanadaGeorgia
In The Last Decade
Sharon Reece
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 48
- Health 229
- Modeling and Simulation 26
- Obstetrics and Gynecology 25
- Infectious Diseases 58
- Research and Theory 2
Countries citing papers authored by Sharon Reece
This map shows the geographic impact of Sharon Reece'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 Reece with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Reece more than expected).
Fields of papers citing papers by Sharon Reece
This network shows the impact of papers produced by Sharon Reece. 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 Reece. The network helps show where Sharon Reece may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharon Reece, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2021 | 33 | |
| 3 | 2022 | 31 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Sharon Reece
Sharon Reece is a scholar working on Health, Obstetrics and Gynecology, Infectious Diseases, General Health Professions and Epidemiology, having authored 26 papers that have together received 352 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (13 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Impact on Reproduction (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Psychology of Moral and Emotional Judgment (2 papers), Food Security and Health in Diverse Populations (2 papers), Simulation-Based Education in Healthcare (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Health (229 citations), Modeling and Simulation (26 citations), Obstetrics and Gynecology (25 citations), Infectious Diseases (58 citations) and Research and Theory (2 citations). Sharon Reece has collaborated with scholars based in United States, Canada and Georgia. Frequent co-authors include Pearl A. McElfish, Don E. Willis, Rachel Smith Purvis, Ramey A. Moore, Emily Hallgren, James P. Selig, Sumit K. Shah, Jennifer A. Andersen, Aaron James Scott and Brett Rowland. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, Clinical and Translational Science, Journal of Community Health and Vaccines.
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.