Hannah E. Fast
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 1
- Viral gastroenteritis research and epidemiology 1
- Health 7
- Vaccine Coverage and Hesitancy 7
- Co-authors
- Lu Meng (8 shared papers)LaTreace Harris (8 shared papers)Elizabeth R. Zell (7 shared papers)Neil Murthy (7 shared papers)Bhavini Patel Murthy (7 shared papers)Lauren Shaw (7 shared papers)Lynn Gibbs‐Scharf (6 shared papers)Terence Chorba (5 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (6 papers)Emerging infectious diseases (3 papers)Open Forum Infectious Diseases (1 paper)JAMA Network Open (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesU.S. Virgin IslandsFrance
In The Last Decade
Hannah E. Fast
12 papers receiving 362 citations
Hannah E. Fast's Hit Papers
Peers
Comparison fields: 5 of 46
- Health 216
- Modeling and Simulation 68
- Infectious Diseases 124
- Obstetrics and Gynecology 30
- Epidemiology 36
Countries citing papers authored by Hannah E. Fast
This map shows the geographic impact of Hannah E. Fast'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 Hannah E. Fast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah E. Fast more than expected).
Fields of papers citing papers by Hannah E. Fast
This network shows the impact of papers produced by Hannah E. Fast. 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 Hannah E. Fast. The network helps show where Hannah E. Fast may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah E. Fast, 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 | Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties — United States, December 14, 2020–January 31, 2022 Hit paper breakdown → | 2022 | 113 |
| 2 | 2022 | 82 | |
| 3 | 2023 | 41 | |
| 4 | 2021 | 35 | |
| 5 | 2023 | 28 | |
| 6 | 2022 | 24 | |
| 7 | 2023 | 20 | |
| 8 | 2022 | 14 | |
| 9 | 2025 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 1 |
About Hannah E. Fast
Hannah E. Fast is a scholar working on Infectious Diseases, Health, Epidemiology, Obstetrics and Gynecology and Modeling and Simulation, having authored 12 papers that have together received 372 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Vaccine Coverage and Hesitancy (7 papers), COVID-19 Impact on Reproduction (3 papers), Influenza Virus Research Studies (2 papers), Pneumonia and Respiratory Infections (2 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Health (216 citations), Modeling and Simulation (68 citations), Infectious Diseases (124 citations), Obstetrics and Gynecology (30 citations) and Epidemiology (36 citations). Hannah E. Fast has collaborated with scholars based in United States, U.S. Virgin Islands and France. Frequent co-authors include Lu Meng, LaTreace Harris, Elizabeth R. Zell, Neil Murthy, Bhavini Patel Murthy, Lauren Shaw, Lynn Gibbs‐Scharf, Terence Chorba, Ryan Saelee and Carla L. Black. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, Open Forum Infectious Diseases, JAMA Network Open and PLoS ONE.
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.