Hannah E. Fast

1.1k citations
15 papers · 730 · 1 hit paper · h-index 11

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 9
    • Viral gastroenteritis research and epidemiology 2
    • Vaccine Coverage and Hesitancy 7

Hannah E. Fast

15 papers receiving 700 citations

Hannah E. Fast's Hit Papers

COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021 2022 · 242 citations
2420+1+2Years since publication50100150200

Peers

Hannah E. Fast
Comparison fields: 5 of 74
  • Health 304
  • Modeling and Simulation 117
  • Infectious Diseases 347
  • Obstetrics and Gynecology 33
  • Epidemiology 73
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Hannah E. Fast relative to Rebecca Lear United Kingdom Rebecca Lear's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hannah E. Fast

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

15 of 15 papers shown
#Work
1
COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021
Hit paper breakdown →
2022242
2 2022126
3 202296
4 202259
5 202343
6 202141
7 202333
8 202226
9 202322
10 202217
11 202511
12 20236
13 20224
14 20223
15 20221

About Hannah E. Fast

Hannah E. Fast is a scholar working on Infectious Diseases, Health, Modeling and Simulation, Obstetrics and Gynecology and Epidemiology, having authored 15 papers that have together received 730 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Vaccine Coverage and Hesitancy (7 papers), COVID-19 epidemiological studies (3 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 Impact on Reproduction (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Health (304 citations), Modeling and Simulation (117 citations), Infectious Diseases (347 citations), Obstetrics and Gynecology (33 citations) and Epidemiology (73 citations). Hannah E. Fast has collaborated with scholars based in United States, France and U.S. Virgin Islands. Frequent co-authors include Lu Monroe Meng, LaTreace Harris, Neil Chandra Murthy, Bhavini Patel Murthy, Lauren Shaw, Elizabeth R. Zell, Terence L. Chorba, Lynn Gibbs‐Scharf, Ryan Saelee and Carla L. Black. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, Vaccine, JAMA Network Open and Open Forum Infectious Diseases.

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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