Alyssa Fiore

496 citations
4 papers · 391 · h-index 3

Impact in

  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections
    • COVID-19 epidemiological studies

Papers in

Alyssa Fiore

3 papers receiving 377 citations

Peers

Alyssa Fiore
Comparison fields: 5 of 52
  • Epidemiology 342
  • Modeling and Simulation 44
  • Health 68
  • Infectious Diseases 124
  • Emergency Medicine 24
Replace T. D'Mello with:
T. D'Mello United States
Ruta Sharangpani United States
Win Mar Kyaw Singapore
Pierre‐Philippe Piché‐Renaud Canada
Sung Poblete United States
M Zambon United Kingdom
Marcella De Geronimo United States
TM Uyeki United States
Jufu Chen United States
Carol Joseph United Kingdom
Alyssa Fiore relative to T. D'Mello United States T. D'Mello's profile →
Citations per field
00.5×1.7×
T. D'Mello · 1×
Citations per year

Countries citing papers authored by Alyssa Fiore

Since Specialization
Citations

This map shows the geographic impact of Alyssa Fiore'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 Alyssa Fiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alyssa Fiore more than expected).

Fields of papers citing papers by Alyssa Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alyssa Fiore. 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 Alyssa Fiore. The network helps show where Alyssa Fiore may publish in the future.

Co-authors

The 25 scholars most cited alongside Alyssa Fiore, 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 Alyssa Fiore Line = papers co-authored together Alyssa Fiore links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Intensive-care patients with severe novel influenza A (H1N1) virus infection - Michigan, June 2009.
2009284
2
Interim Results: Influenza A (H1N1) 2009 Monovalent and Seasonal Influenza Vaccination Coverage Among Health-Care Personnel — United States, August 2009-January 2010
201081
3
Outbreaks of 2009 pandemic influenza A (H1N1) among long-term-care facility residents - three states, 2009.
201026
4 20250

About Alyssa Fiore

Alyssa Fiore is a scholar working on Infectious Diseases, General Health Professions, Animal Science and Zoology, Epidemiology and Organic Chemistry, having authored 4 papers that have together received 391 indexed citations. Recurring topics across this work include Respiratory viral infections research (1 paper), Influenza Virus Research Studies (1 paper), Animal Virus Infections Studies (1 paper), Public Health Policies and Education (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Epidemiology (342 citations), Modeling and Simulation (44 citations), Health (68 citations), Infectious Diseases (124 citations) and Emergency Medicine (24 citations). Alyssa Fiore has collaborated with scholars based in United States. Frequent co-authors include Sandro Cinti, Thomas J. Papadimos, Carol Chenoweth, Alicia M. Fry, Ruta Sharangpani, Luigi Napolitano, Eloise Wells, Christy Zalewski, TM Uyeki and Patricia Somsel. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report and Journal of Virological Methods.

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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