Molly Sauer
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 12
- Vaccine Coverage and Hesitancy 12
-
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Rupali J. Limaye (13 shared papers)Brian Wahl (9 shared papers)Alain Labrique (2 shared papers)Joseph Ali (1 shared paper)Anne Barnhill (1 shared paper)Justin Bernstein (1 shared paper)Mathuram Santosham (9 shared papers)Shaun Truelove (2 shared papers)
- Journals
- Vaccine (5 papers)PLoS ONE (3 papers)Human Vaccines & Immunotherapeutics (3 papers)The Lancet Global Health (1 paper)Health Security (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Molly Sauer
25 papers receiving 705 citations
Molly Sauer's Hit Papers
Peers
Comparison fields: 5 of 94
- Health 200
- Modeling and Simulation 65
- Communication 84
- Infectious Diseases 140
- Sociology and Political Science 239
Countries citing papers authored by Molly Sauer
This map shows the geographic impact of Molly Sauer'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 Molly Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molly Sauer more than expected).
Fields of papers citing papers by Molly Sauer
This network shows the impact of papers produced by Molly Sauer. 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 Molly Sauer. The network helps show where Molly Sauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Molly Sauer, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Building trust while influencing online COVID-19 content in the social media world Hit paper breakdown → | 2020 | 257 |
| 2 | 2021 | 60 | |
| 3 | 2020 | 57 | |
| 4 | 2021 | 55 | |
| 5 | 2018 | 40 | |
| 6 | 2019 | 36 | |
| 7 | 2014 | 33 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 29 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2020 | 5 |
About Molly Sauer
Molly Sauer is a scholar working on Health, Infectious Diseases, Sociology and Political Science, Epidemiology and Safety Research, having authored 27 papers that have together received 737 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (12 papers), Viral gastroenteritis research and epidemiology (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), COVID-19 epidemiological studies (3 papers), Poverty, Education, and Child Welfare (3 papers), Misinformation and Its Impacts (3 papers), Global Health and Surgery (2 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Health (200 citations), Modeling and Simulation (65 citations), Communication (84 citations), Infectious Diseases (140 citations) and Sociology and Political Science (239 citations). Molly Sauer has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Rupali J. Limaye, Brian Wahl, Alain Labrique, Joseph Ali, Anne Barnhill, Justin Bernstein, Mathuram Santosham, Shaun Truelove, Taylor A. Holroyd and Madhu Gupta. Their work appears in journals such as Vaccine, PLoS ONE, Human Vaccines & Immunotherapeutics, The Lancet Global Health and Health Security.
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.