Stefano Malvolti
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
-
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
- Health 10
- Vaccine Coverage and Hesitancy 10
-
- Virology and Viral Diseases 5
- Cervical Cancer and HPV Research 3
- Co-authors
- Tania Cernuschi (6 shared papers)Martin Friede (1 shared paper)Paul M. Kaye (5 shared papers)Epke A. Le Rutte (4 shared papers)Carsten Mantel (11 shared papers)Sakshi Mohan (3 shared papers)Paul Revill (2 shared papers)Mark Sculpher (1 shared paper)
- Journals
- Vaccine (9 papers)Vaccines (3 papers)PLoS neglected tropical diseases (3 papers)Clinical Infectious Diseases (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Stefano Malvolti
22 papers receiving 288 citations
Peers
Comparison fields: 5 of 60
- Health 64
- Infectious Diseases 74
- Public Health, Environmental and Occupational Health 106
- Modeling and Simulation 17
- Epidemiology 101
Countries citing papers authored by Stefano Malvolti
This map shows the geographic impact of Stefano Malvolti'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 Stefano Malvolti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Malvolti more than expected).
Fields of papers citing papers by Stefano Malvolti
This network shows the impact of papers produced by Stefano Malvolti. 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 Stefano Malvolti. The network helps show where Stefano Malvolti may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Malvolti, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2021 | 27 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 2 |
About Stefano Malvolti
Stefano Malvolti is a scholar working on Health, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Modeling and Simulation, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (10 papers), Virology and Viral Diseases (5 papers), Research on Leishmaniasis Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cervical Cancer and HPV Research (3 papers), Parasites and Host Interactions (2 papers), COVID-19 epidemiological studies (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Health (64 citations), Infectious Diseases (74 citations), Public Health, Environmental and Occupational Health (106 citations), Modeling and Simulation (17 citations) and Epidemiology (101 citations). Stefano Malvolti has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Tania Cernuschi, Martin Friede, Paul M. Kaye, Epke A. Le Rutte, Carsten Mantel, Sakshi Mohan, Paul Revill, Mark Sculpher, Greg Matlashewski and Dinesh Mondal. Their work appears in journals such as Vaccine, Vaccines, PLoS neglected tropical diseases, Clinical Infectious Diseases and Frontiers in Public Health.
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.