Piero Poletti
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
-
- COVID-19 epidemiological studies 39
-
- SARS-CoV-2 and COVID-19 Research 13
- Viral Infections and Vectors 12
- COVID-19 Clinical Research Studies 7
- Co-authors
- Stefano Merler (69 shared papers)Marco Ajelli (38 shared papers)Giorgio Guzzetta (41 shared papers)Piero Manfredi (11 shared papers)Filippo Trentini (30 shared papers)Alessia Melegaro (18 shared papers)Valentina Marziano (31 shared papers)Alberto d’Onofrio (3 shared papers)
- Journals
- BMC Medicine (7 papers)PLoS ONE (7 papers)PLoS neglected tropical diseases (6 papers)Eurosurveillance (5 papers)Scientific Reports (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Piero Poletti
75 papers receiving 2.6k citations
Piero Poletti's Hit Papers
Peers
Comparison fields: 5 of 132
- Modeling and Simulation 1.1k
- Infectious Diseases 797
- Public Health, Environmental and Occupational Health 847
- Health 245
- Epidemiology 648
Countries citing papers authored by Piero Poletti
This map shows the geographic impact of Piero Poletti'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 Piero Poletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piero Poletti more than expected).
Fields of papers citing papers by Piero Poletti
This network shows the impact of papers produced by Piero Poletti. 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 Piero Poletti. The network helps show where Piero Poletti may publish in the future.
Co-authors
The 25 scholars most cited alongside Piero Poletti, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 213 | |
| 2 | Evaluation of Waning of SARS-CoV-2 Vaccine–Induced Immunity Hit paper breakdown → | 2023 | 154 |
| 3 | 2011 | 144 | |
| 4 | 2009 | 131 | |
| 5 | 2011 | 128 | |
| 6 | 2012 | 110 | |
| 7 | 2021 | 91 | |
| 8 | 2016 | 71 | |
| 9 | 2021 | 70 | |
| 10 | 2017 | 67 | |
| 11 | 2010 | 66 | |
| 12 | 2021 | 61 | |
| 13 | 2013 | 61 | |
| 14 | 2012 | 61 | |
| 15 | 2022 | 57 | |
| 16 | 2020 | 55 | |
| 17 | 2017 | 54 | |
| 18 | 2021 | 51 | |
| 19 | 2009 | 51 | |
| 20 | 2017 | 50 |
About Piero Poletti
Piero Poletti is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Economics and Econometrics, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (39 papers), Mosquito-borne diseases and control (20 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Viral Infections and Vectors (12 papers), Influenza Virus Research Studies (8 papers), Herpesvirus Infections and Treatments (7 papers), COVID-19 Pandemic Impacts (7 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (797 citations), Public Health, Environmental and Occupational Health (847 citations), Health (245 citations) and Epidemiology (648 citations). Piero Poletti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Merler, Marco Ajelli, Giorgio Guzzetta, Piero Manfredi, Filippo Trentini, Alessia Melegaro, Valentina Marziano, Alberto d’Onofrio, Andrea Pugliese and Mattia Manica. Their work appears in journals such as BMC Medicine, PLoS ONE, PLoS neglected tropical diseases, Eurosurveillance and Scientific Reports.
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.