Riccardo Cortese
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Hepatology top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Genetics top 0.5%
- Co-authors
- Alfredo NicosiaLuciana DenteGianni CesareniValeria PoliGennaro CilibertoAlessandra VitelliFrancesco Paolo ManciniAlessandra Luzzago
- Topics
- Monoclonal and Polyclonal Antibodies Research (42 papers)Hepatitis C virus research (29 papers)RNA and protein synthesis mechanisms (19 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Riccardo Cortese
144 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 5.7k
- Epidemiology 2.9k
- Hepatology 2.7k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Genetics 2.0k
Countries citing papers authored by Riccardo Cortese
This map shows the geographic impact of Riccardo Cortese'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 Riccardo Cortese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Cortese more than expected).
Fields of papers citing papers by Riccardo Cortese
This network shows the impact of papers produced by Riccardo Cortese. 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 Riccardo Cortese. The network helps show where Riccardo Cortese may publish in the future.
Co-authorship network of co-authors of Riccardo Cortese
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Cortese. A scholar is included among the top collaborators of Riccardo Cortese based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Riccardo Cortese. Riccardo Cortese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 22 | |
| 5 | 29 | |
| 6 | 14 | |
| 7 | 112 | |
| 8 | 60 | |
| 9 | 115 | |
| 10 | A chimpanzee serotype-based adenoviral vector as vaccine for CEA | 2 |
| 11 | 35 | |
| 12 | 10 | |
| 13 | 97 | |
| 14 | 43 | |
| 15 | 97 | |
| 16 | 1 | |
| 17 | 69 | |
| 18 | 14 | |
| 19 | 130 | |
| 20 | 1 |
About Riccardo Cortese
Riccardo Cortese is a scholar working on Hepatology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 144 papers that have together received 11.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (42 papers), Hepatitis C virus research (29 papers) and RNA and protein synthesis mechanisms (19 papers). The work is most often cited by research in Hepatology (2.7k citations), Virology (675 citations) and Radiology, Nuclear Medicine and Imaging (2.0k citations). Riccardo Cortese has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alfredo Nicosia, Luciana Dente, Gianni Cesareni, Valeria Poli, Gennaro Ciliberto, Alessandra Vitelli, Francesco Paolo Mancini, Alessandra Luzzago, Elisa Scarselli and Franco Felici. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.