Fabio Scarpa
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- Viral Infections and Vectors 11
- Epidemiology 34
- Influenza Virus Research Studies 11
- Co-authors
- Daria Sanna (82 shared papers)Marco Casu (71 shared papers)Massimo Ciccozzi (74 shared papers)Francesco Branda (56 shared papers)Piero Cossu (33 shared papers)Marta Giovanetti (42 shared papers)Tiziana Lai (22 shared papers)Giancarlo Ceccarelli (34 shared papers)
- Journals
- Infectious Diseases (11 papers)Viruses (10 papers)Animals (6 papers)Life (6 papers)Journal of Medical Virology (6 papers)
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Fabio Scarpa
126 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Virology 127
- Applied Microbiology and Biotechnology 33
- Infectious Diseases 254
- Ecology 274
- Molecular Medicine 43
Countries citing papers authored by Fabio Scarpa
This map shows the geographic impact of Fabio Scarpa'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 Fabio Scarpa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Scarpa more than expected).
Fields of papers citing papers by Fabio Scarpa
This network shows the impact of papers produced by Fabio Scarpa. 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 Fabio Scarpa. The network helps show where Fabio Scarpa may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Scarpa, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 78 | |
| 2 | 2024 | 44 | |
| 3 | 2013 | 43 | |
| 4 | 2024 | 38 | |
| 5 | 2019 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2016 | 24 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2017 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2012 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2016 | 18 | |
| 19 | 2023 | 18 | |
| 20 | 2019 | 18 |
About Fabio Scarpa
Fabio Scarpa is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Ecology and Genetics, having authored 139 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), Genetic diversity and population structure (16 papers), Parasite Biology and Host Interactions (13 papers), Animal Disease Management and Epidemiology (12 papers), Marine Ecology and Invasive Species (12 papers), Influenza Virus Research Studies (11 papers), Zoonotic diseases and public health (11 papers) and Viral Infections and Vectors (11 papers). The work is most often cited by research in Virology (127 citations), Applied Microbiology and Biotechnology (33 citations), Infectious Diseases (254 citations), Ecology (274 citations) and Molecular Medicine (43 citations). Fabio Scarpa has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Daria Sanna, Marco Casu, Massimo Ciccozzi, Francesco Branda, Piero Cossu, Marta Giovanetti, Tiziana Lai, Giancarlo Ceccarelli, Marco Curini‐Galletti and Ilenia Azzena. Their work appears in journals such as Infectious Diseases, Viruses, Animals, Life and Journal of Medical Virology.
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.