Raffaele De Francesco
- Hepatology top 0.05%
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Co-authors
- Licia TomeiChristian SteinkühlerGiovanni MigliaccioCristina Maria FaillaPetra NeddermannSergio AltamuraPaola GallinariSven‐Erik Behrens
- Topics
- Hepatitis C virus research (103 papers)Hepatitis B Virus Studies (54 papers)Monoclonal and Polyclonal Antibodies Research (38 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Raffaele De Francesco
154 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Hepatology 6.4k
- Molecular Biology 5.1k
- Epidemiology 4.3k
- Infectious Diseases 2.7k
- Radiology, Nuclear Medicine and Imaging 1.8k
Countries citing papers authored by Raffaele De Francesco
This map shows the geographic impact of Raffaele De Francesco'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 Raffaele De Francesco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele De Francesco more than expected).
Fields of papers citing papers by Raffaele De Francesco
This network shows the impact of papers produced by Raffaele De Francesco. 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 Raffaele De Francesco. The network helps show where Raffaele De Francesco may publish in the future.
Co-authorship network of co-authors of Raffaele De Francesco
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele De Francesco. A scholar is included among the top collaborators of Raffaele De Francesco 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 Raffaele De Francesco. Raffaele De Francesco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 268 | |
| 6 | 67 | |
| 7 | 37 | |
| 8 | 443 | |
| 9 | 61 | |
| 10 | 109 | |
| 11 | 327 | |
| 12 | Crystal structure of a eukaryotic zinc-dependent histone deacetylase, human HDAC8, complexed with a hydroxamic acid inhibitorbreakdown → | 526 |
| 13 | 108 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 107 | |
| 17 | 11 | |
| 18 | 68 | |
| 19 | 22 | |
| 20 | 16 |
About Raffaele De Francesco
Raffaele De Francesco is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 155 papers that have together received 12.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (103 papers), Hepatitis B Virus Studies (54 papers) and Monoclonal and Polyclonal Antibodies Research (38 papers). The work is most often cited by research in Hepatology (6.4k citations), Virology (783 citations) and Infectious Diseases (2.7k citations). Raffaele De Francesco has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Licia Tomei, Christian Steinkühler, Giovanni Migliaccio, Cristina Maria Failla, Petra Neddermann, Sergio Altamura, Paola Gallinari, Sven‐Erik Behrens, Andrea Carfı́ and Mirko Brunetti. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.