Filippo Trentini
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 25
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 detection and testing 4
- Health top 5%
- Vaccine Coverage and Hesitancy 9
- Immunology top 5%
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- COVID-19 and healthcare impacts 4
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- COVID-19 Pandemic Impacts 6
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- Virology and Viral Diseases 4
- Co-authors
- Stefano MerlerPiero PolettiMarco AjelliGiorgio GuzzettaValentina MarzianoAlessia MelegaroClelia Di SerioSilvia Gregori
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)Nature Communications (3 papers)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Filippo Trentini
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 499
- Infectious Diseases 504
- Health 223
- Immunology 535
- Oncology 232
Countries citing papers authored by Filippo Trentini
This map shows the geographic impact of Filippo Trentini'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 Filippo Trentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Trentini more than expected).
Fields of papers citing papers by Filippo Trentini
This network shows the impact of papers produced by Filippo Trentini. 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 Filippo Trentini. The network helps show where Filippo Trentini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Filippo Trentini, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 29 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 41 | |
| 13 | 2021 | 62 | |
| 14 | 2021 | 46 | |
| 15 | Effectiveness of regional restrictions in reducing SARS-CoV-2 transmission during the second wave of COVID-19, Italy | 2021 | 5 |
| 16 | 2021 | 65 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 9 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 52 |
About Filippo Trentini
Filippo Trentini is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (25 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Vaccine Coverage and Hesitancy (9 papers), COVID-19 Clinical Research Studies (8 papers), COVID-19 Pandemic Impacts (6 papers), Virology and Viral Diseases (4 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Modeling and Simulation (499 citations), Infectious Diseases (504 citations) and Health (223 citations). Filippo Trentini has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Stefano Merler, Piero Poletti, Marco Ajelli, Giorgio Guzzetta, Valentina Marziano, Alessia Melegaro, Clelia Di Serio, Silvia Gregori, De’Broski R. Herbert and Monica E. Gianolini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.
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.