Emanuele Montomoli
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 48
- Viral gastroenteritis research and epidemiology 25
- COVID-19 Clinical Research Studies 22
- SARS-CoV-2 detection and testing 18
- Epidemiology top 0.5%
- Influenza Virus Research Studies 101
- Respiratory viral infections research 63
- Immunology top 2%
- Immune Response and Inflammation 23
- Modeling and Simulation top 1%
- Health top 2%
- Vaccine Coverage and Hesitancy 17
- Co-authors
- Claudia Maria TrombettaIlaria ManiniSerena MarchiElena GianchecchiAlessandro ManentiRoberto GaspariniGiulia LapiniAlessandro Torelli
- Journals
- Nature (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Emanuele Montomoli
196 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 2.1k
- Epidemiology 2.8k
- Immunology 1.3k
- Modeling and Simulation 261
- Health 365
Countries citing papers authored by Emanuele Montomoli
This map shows the geographic impact of Emanuele Montomoli'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 Emanuele Montomoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Montomoli more than expected).
Fields of papers citing papers by Emanuele Montomoli
This network shows the impact of papers produced by Emanuele Montomoli. 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 Emanuele Montomoli. The network helps show where Emanuele Montomoli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emanuele Montomoli, 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 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 85 | |
| 18 | 2020 | 4 | |
| 19 | 2014 | 7 | |
| 20 | Implementation of the Plan for Elimination of Measles and Congenital Rubella Infection in Tuscany: evidence of progress towards phase II of measles control | 2005 | 6 |
About Emanuele Montomoli
Emanuele Montomoli is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 210 papers that have together received 5.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (101 papers), Respiratory viral infections research (63 papers), SARS-CoV-2 and COVID-19 Research (48 papers), Viral gastroenteritis research and epidemiology (25 papers), Immune Response and Inflammation (23 papers), COVID-19 Clinical Research Studies (22 papers), SARS-CoV-2 detection and testing (18 papers) and Vaccine Coverage and Hesitancy (17 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Epidemiology (2.8k citations) and Immunology (1.3k citations). Emanuele Montomoli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Claudia Maria Trombetta, Ilaria Manini, Serena Marchi, Elena Gianchecchi, Alessandro Manenti, Roberto Gasparini, Giulia Lapini, Alessandro Torelli, Otfried Kistner and Simona Piccirella. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.