Don E. Willis

83 papers receiving 1.5k citations

Don E. Willis's Hit Papers

COVID‐19 vaccine hesitancy: Race/ethnicity, trust, and fear 2021 · 276 citations
2760+1+3Years since publication50100150200250

Peers

Don E. Willis
Comparison fields: 5 of 102
  • Health 762
  • Modeling and Simulation 113
  • General Health Professions 367
  • Infectious Diseases 206
  • Obstetrics and Gynecology 58
Replace Michael J. Wiblishauser with:
Michael J. Wiblishauser United States
Karen M. Hilyard United States
Ana Filipa Gama Portugal
Samuel Cornell Australia
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Lauren Dayton United States
Rize Jing China
Xiaozhen Lai China
Rachel Smith Purvis United States
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Citations per field
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Citations per year

Countries citing papers authored by Don E. Willis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Don E. Willis Line = papers co-authored together Don E. Willis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID‐19 vaccine hesitancy: Race/ethnicity, trust, and fear
Hit paper breakdown →
2021276
2 2020153
3 202187
4 202172
5 202171
6 202151
7 202247
8 201946
9 202144
10 201835
11 202133
12 202231
13 202030
14 201629
15 202128
16 202224
17 202323
18 202223
19 202122
20 202222

About Don E. Willis

Don E. Willis is a scholar working on Health, General Health Professions, Sociology and Political Science, Clinical Psychology and Obstetrics and Gynecology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (35 papers), Food Security and Health in Diverse Populations (23 papers), Hate Speech and Cyberbullying Detection (8 papers), Misinformation and Its Impacts (8 papers), Racial and Ethnic Identity Research (8 papers), Homelessness and Social Issues (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and COVID-19 Pandemic Impacts (6 papers). The work is most often cited by research in Health (762 citations), Modeling and Simulation (113 citations), General Health Professions (367 citations), Infectious Diseases (206 citations) and Obstetrics and Gynecology (58 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 Smith Purvis, Keneshia Bryant‐Moore, Ramey A. Moore, Holly C. Felix, Casey T. Harris and Grant R. Drawve. Their work appears in journals such as Vaccine, Vaccines, International Journal of Environmental Research and Public Health, Journal of Racial and Ethnic Health Disparities and Human Vaccines & Immunotherapeutics.

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.

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