Don E. Willis
- Health top 0.5%
- Vaccine Coverage and Hesitancy 35
- Health disparities and outcomes 9
- Modeling and Simulation top 1%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 8
- General Health Professions top 5%
- Food Security and Health in Diverse Populations 25
- Homelessness and Social Issues 12
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction 9
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- Misinformation and Its Impacts 12
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- COVID-19 Pandemic Impacts 8
- Co-authors
- Pearl A. McElfishKevin M. FitzpatrickJennifer A. AndersenJames P. SeligRachel S. PurvisKeneshia Bryant‐MooreRamey MooreHolly C. Felix
- Journals
- Vaccine (5 papers)International Journal of Environmental Research and Public Health (5 papers)Journal of Racial and Ethnic Health Disparities (5 papers)
- Partner nations
- United StatesGeorgia
In The Last Decade
Don E. Willis
78 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Health 809
- Modeling and Simulation 200
- Infectious Diseases 336
- General Health Professions 434
- Obstetrics and Gynecology 109
Countries citing papers authored by Don E. Willis
This map shows the geographic impact of Don E. Willis'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 Don E. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don E. Willis more than expected).
Fields of papers citing papers by Don E. Willis
This network shows the impact of papers produced by Don E. Willis. 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 Don E. Willis. The network helps show where Don E. Willis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Don E. Willis, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 66 | |
| 16 | COVID‐19 vaccine hesitancy: Race/ethnicity, trust, and fearbreakdown → | 2021 | 256 |
| 17 | 2021 | 1 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2019 | 9 |
About Don E. Willis
Don E. Willis is a scholar working on Health, General Health Professions, Obstetrics and Gynecology, Modeling and Simulation and Clinical Psychology, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (35 papers), Food Security and Health in Diverse Populations (25 papers), Homelessness and Social Issues (12 papers), Misinformation and Its Impacts (12 papers), COVID-19 Impact on Reproduction (9 papers), Health disparities and outcomes (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and COVID-19 Pandemic Impacts (8 papers). The work is most often cited by research in Health (809 citations), Modeling and Simulation (200 citations), Infectious Diseases (336 citations), General Health Professions (434 citations) and Obstetrics and Gynecology (109 citations). Don E. Willis has collaborated with scholars based in United States and Georgia. Frequent co-authors include Pearl A. McElfish, Kevin M. Fitzpatrick, Jennifer A. Andersen, James P. Selig, Rachel S. Purvis, Keneshia Bryant‐Moore, Ramey Moore, Holly C. Felix, Grant Drawve and Casey T. Harris. Their work appears in journals such as Vaccine, International Journal of Environmental Research and Public Health, Journal of Racial and Ethnic Health Disparities, Vaccines and Clinical and Translational Science.
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.