Davide Corti
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 32
- Viral gastroenteritis research and epidemiology 21
- Virology top 0.5%
- HIV Research and Treatment 16
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 17
- Immunology top 1%
- Immune Cell Function and Interaction 18
- Epidemiology top 1%
- Respiratory viral infections research 17
- Influenza Virus Research Studies 12
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- Monoclonal and Polyclonal Antibodies Research 16
- Co-authors
- Antonio LanzavecchiaFederica SallustoDavid VeeslerRalph S. BaricGyorgy SnellEric DonaldsonLisa A. PurcellHerbert W. Virgin
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Davide Corti
112 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Infectious Diseases 5.0k
- Virology 824
- Animal Science and Zoology 1.0k
- Immunology 2.0k
- Epidemiology 2.3k
Countries citing papers authored by Davide Corti
This map shows the geographic impact of Davide Corti'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 Davide Corti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Corti more than expected).
Fields of papers citing papers by Davide Corti
This network shows the impact of papers produced by Davide Corti. 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 Davide Corti. The network helps show where Davide Corti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Davide Corti, 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 | 2023 | 7 | |
| 3 | 2023 | 7 | |
| 4 | Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolutionbreakdown → | 2022 | 157 |
| 5 | Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagementbreakdown → | 2022 | 311 |
| 6 | 2022 | 36 | |
| 7 | 2022 | 99 | |
| 8 | 2021 | 172 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 21 | |
| 11 | 2019 | 32 | |
| 12 | 2017 | 39 | |
| 13 | 2017 | 37 | |
| 14 | 2016 | 135 | |
| 15 | 2016 | 73 | |
| 16 | 2016 | 11 | |
| 17 | 2014 | 239 | |
| 18 | 2013 | 154 | |
| 19 | 2010 | 357 | |
| 20 | 2010 | 53 |
About Davide Corti
Davide Corti is a scholar working on Virology, Infectious Diseases and Animal Science and Zoology, having authored 114 papers that have together received 8.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (32 papers), Viral gastroenteritis research and epidemiology (21 papers), Immune Cell Function and Interaction (18 papers), Animal Virus Infections Studies (17 papers), Respiratory viral infections research (17 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), HIV Research and Treatment (16 papers) and Influenza Virus Research Studies (12 papers). The work is most often cited by research in Infectious Diseases (5.0k citations), Virology (824 citations) and Animal Science and Zoology (1.0k citations). Davide Corti has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Antonio Lanzavecchia, Federica Sallusto, David Veesler, Ralph S. Baric, Gyorgy Snell, Eric Donaldson, Lisa A. Purcell, Herbert W. Virgin, Alexandra C. Walls and Timothy P. Sheahan. Their work appears in journals such as Journal of Virology, Nature, Cell, Proceedings of the National Academy of Sciences and PLoS Pathogens.
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.