Alison P. Galvani
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies 118
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 38
- Viral Infections and Outbreaks Research 32
- Viral Infections and Vectors 19
- Health top 0.2%
- Vaccine Coverage and Hesitancy 42
- Virology top 1%
- Epidemiology top 0.2%
- Influenza Virus Research Studies 45
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- Mosquito-borne diseases and control 27
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- Evolution and Genetic Dynamics 19
- Co-authors
- Lauren Ancel MeyersChris T. BauchJan MedlockMeagan C. FitzpatrickSeyed M. MoghadasMartial L. Ndeffo-MbahBurton H. SingerGretchen B. Chapman
- Journals
- Proceedings of the National Academy of Sciences (27 papers)PLoS neglected tropical diseases (20 papers)Vaccine (14 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Alison P. Galvani
279 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Modeling and Simulation 4.9k
- Infectious Diseases 5.4k
- Health 1.7k
- Virology 618
- Epidemiology 4.4k
Countries citing papers authored by Alison P. Galvani
This map shows the geographic impact of Alison P. Galvani'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 Alison P. Galvani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison P. Galvani more than expected).
Fields of papers citing papers by Alison P. Galvani
This network shows the impact of papers produced by Alison P. Galvani. 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 Alison P. Galvani. The network helps show where Alison P. Galvani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alison P. Galvani, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 10 | |
| 9 | The Impact of Vaccination on Coronavirus Disease 2019 (COVID-19) Outbreaks in the United Statesbreakdown → | 2021 | 348 |
| 10 | Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysisbreakdown → | 2021 | 263 |
| 11 | The durability of immunity against reinfection by SARS-CoV-2: a comparative evolutionary study | 2021 | 87 |
| 12 | 2020 | 4 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 16 | |
| 15 | 2016 | 65 | |
| 16 | 2016 | 59 | |
| 17 | 2012 | 173 | |
| 18 | 2009 | 42 | |
| 19 | 2007 | 213 | |
| 20 | 2003 | 185 |
About Alison P. Galvani
Alison P. Galvani is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 284 papers that have together received 14.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (118 papers), Influenza Virus Research Studies (45 papers), Vaccine Coverage and Hesitancy (42 papers), SARS-CoV-2 and COVID-19 Research (38 papers), Viral Infections and Outbreaks Research (32 papers), Mosquito-borne diseases and control (27 papers), Viral Infections and Vectors (19 papers) and Evolution and Genetic Dynamics (19 papers). The work is most often cited by research in Modeling and Simulation (4.9k citations), Infectious Diseases (5.4k citations) and Health (1.7k citations). Alison P. Galvani has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lauren Ancel Meyers, Chris T. Bauch, Jan Medlock, Meagan C. Fitzpatrick, Seyed M. Moghadas, Martial L. Ndeffo-Mbah, Burton H. Singer, Gretchen B. Chapman, Abhishek Pandey and Pratha Sah. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS neglected tropical diseases, Vaccine, The Lancet and The Lancet Regional Health - Americas.
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.