Riccardo Cortese
- Hepatology top 0.2%
- Hepatitis C virus research 29
- Virology top 1%
-
- Monoclonal and Polyclonal Antibodies Research 42
- Epidemiology top 0.5%
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 19
- Glycosylation and Glycoproteins Research 17
- RNA modifications and cancer 14
- Viral Infectious Diseases and Gene Expression in Insects 10
-
- Virus-based gene therapy research 16
-
- Bacteriophages and microbial interactions 11
- Co-authors
- Alfredo NicosiaLuciana DenteGianni CesareniValeria PoliGennaro CilibertoAlessandra VitelliFrancesco Paolo ManciniAlessandra Luzzago
- Journals
- Cell (3 papers)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (17 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
- Hepatology 2.7k
- Virology 675
- Radiology, Nuclear Medicine and Imaging 2.0k
- Epidemiology 2.9k
- Molecular Biology 5.7k
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
The 25 scholars most cited alongside Riccardo Cortese, 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 | 2020 | 17 | |
| 2 | 2017 | 10 | |
| 3 | 2017 | 8 | |
| 4 | 2015 | 22 | |
| 5 | 2014 | 29 | |
| 6 | 2014 | 14 | |
| 7 | 2011 | 112 | |
| 8 | 2010 | 60 | |
| 9 | 2008 | 115 | |
| 10 | A chimpanzee serotype-based adenoviral vector as vaccine for CEA | 2006 | 2 |
| 11 | 2002 | 35 | |
| 12 | 2001 | 10 | |
| 13 | 1999 | 97 | |
| 14 | 1998 | 43 | |
| 15 | 1997 | 97 | |
| 16 | 1995 | 1 | |
| 17 | 1992 | 69 | |
| 18 | 1989 | 14 | |
| 19 | 1983 | 130 | |
| 20 | 1980 | 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), RNA and protein synthesis mechanisms (19 papers), Glycosylation and Glycoproteins Research (17 papers), Virus-based gene therapy research (16 papers), RNA modifications and cancer (14 papers), Bacteriophages and microbial interactions (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 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.