Concetta Castilletti
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 51
- SARS-CoV-2 and COVID-19 Research 39
- Viral Infections and Outbreaks Research 27
- COVID-19 Clinical Research Studies 24
- Viral gastroenteritis research and epidemiology 14
- SARS-CoV-2 detection and testing 13
- Virology top 1%
- HIV Research and Treatment 15
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- Mosquito-borne diseases and control 40
- Modeling and Simulation top 2%
- Immunology top 5%
- Co-authors
- Maria Rosaria CapobianchiGiuseppe IppolitoLicia BordiEleonora LalleAntonino DiEmanuele NicastriFrancesca ColavitaFabrizio Carletti
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Concetta Castilletti
156 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 127
- Infectious Diseases 2.5k
- Virology 452
- Public Health, Environmental and Occupational Health 1.2k
- Modeling and Simulation 179
- Immunology 701
Countries citing papers authored by Concetta Castilletti
This map shows the geographic impact of Concetta Castilletti'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 Concetta Castilletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Concetta Castilletti more than expected).
Fields of papers citing papers by Concetta Castilletti
This network shows the impact of papers produced by Concetta Castilletti. 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 Concetta Castilletti. The network helps show where Concetta Castilletti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Concetta Castilletti, 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 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 18 | |
| 11 | Parainfluenza viruses: A trigger for type 1 diabetes new onset? | 2021 | 2 |
| 12 | 2021 | 2 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 40 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 32 | |
| 17 | 2020 | 57 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 5 | |
| 20 | 2018 | 18 |
About Concetta Castilletti
Concetta Castilletti is a scholar working on Infectious Diseases, Virology, Public Health, Environmental and Occupational Health, Modeling and Simulation and Epidemiology, having authored 160 papers that have together received 3.8k indexed citations. Recurring topics across this work include Viral Infections and Vectors (51 papers), Mosquito-borne diseases and control (40 papers), SARS-CoV-2 and COVID-19 Research (39 papers), Viral Infections and Outbreaks Research (27 papers), COVID-19 Clinical Research Studies (24 papers), HIV Research and Treatment (15 papers), Viral gastroenteritis research and epidemiology (14 papers) and SARS-CoV-2 detection and testing (13 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Virology (452 citations), Public Health, Environmental and Occupational Health (1.2k citations), Modeling and Simulation (179 citations) and Immunology (701 citations). Concetta Castilletti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Maria Rosaria Capobianchi, Giuseppe Ippolito, Licia Bordi, Eleonora Lalle, Antonino Di, Emanuele Nicastri, Francesca Colavita, Fabrizio Carletti, F. Dianzani and Chiara Agrati. Their work appears in journals such as Viruses, Emerging infectious diseases, Eurosurveillance, International Journal of Infectious Diseases and PLoS ONE.
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.