Giorgio Guzzetta
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- Viral Infections and Vectors 11
- COVID-19 Clinical Research Studies 7
-
- COVID-19 epidemiological studies 31
- Co-authors
- Stefano Merler (56 shared papers)Piero Poletti (41 shared papers)Marco Ajelli (29 shared papers)Valentina Marziano (31 shared papers)Filippo Trentini (25 shared papers)Roberto Rosà (13 shared papers)Mattia Manica (22 shared papers)Piero Manfredi (9 shared papers)
- Journals
- PLoS neglected tropical diseases (7 papers)PLoS ONE (5 papers)Eurosurveillance (5 papers)Nature Communications (5 papers)Emerging infectious diseases (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Giorgio Guzzetta
66 papers receiving 1.6k citations
Giorgio Guzzetta's Hit Papers
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 477
- Infectious Diseases 593
- Virology 94
- Health 126
- Public Health, Environmental and Occupational Health 380
Countries citing papers authored by Giorgio Guzzetta
This map shows the geographic impact of Giorgio Guzzetta'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 Giorgio Guzzetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Guzzetta more than expected).
Fields of papers citing papers by Giorgio Guzzetta
This network shows the impact of papers produced by Giorgio Guzzetta. 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 Giorgio Guzzetta. The network helps show where Giorgio Guzzetta may publish in the future.
Co-authors
The 25 scholars most cited alongside Giorgio Guzzetta, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation of Waning of SARS-CoV-2 Vaccine–Induced Immunity Hit paper breakdown → | 2023 | 153 |
| 2 | 2021 | 91 | |
| 3 | 2021 | 68 | |
| 4 | 2021 | 61 | |
| 5 | 2013 | 58 | |
| 6 | 2022 | 57 | |
| 7 | 2020 | 55 | |
| 8 | 2017 | 53 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 50 | |
| 11 | 2017 | 49 | |
| 12 | 2016 | 47 | |
| 13 | 2020 | 43 | |
| 14 | 2017 | 42 | |
| 15 | 2021 | 41 | |
| 16 | 2020 | 40 | |
| 17 | 2015 | 37 | |
| 18 | 2018 | 37 | |
| 19 | 2016 | 35 | |
| 20 | 2013 | 33 |
About Giorgio Guzzetta
Giorgio Guzzetta is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (31 papers), Mosquito-borne diseases and control (16 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Viral Infections and Vectors (11 papers), Herpesvirus Infections and Treatments (8 papers), COVID-19 Clinical Research Studies (7 papers), COVID-19 Pandemic Impacts (6 papers) and Poxvirus research and outbreaks (4 papers). The work is most often cited by research in Modeling and Simulation (477 citations), Infectious Diseases (593 citations), Virology (94 citations), Health (126 citations) and Public Health, Environmental and Occupational Health (380 citations). Giorgio Guzzetta has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Merler, Piero Poletti, Marco Ajelli, Valentina Marziano, Filippo Trentini, Roberto Rosà, Mattia Manica, Piero Manfredi, Alessia Melegaro and Annapaola Rizzoli. Their work appears in journals such as PLoS neglected tropical diseases, PLoS ONE, Eurosurveillance, Nature Communications and Emerging 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.