Caterina Uberti‐Foppa
- Epidemiology top 2%
- Infectious Diseases top 2%
- Hepatology top 2%
- Virology top 2%
- Surgery
- Co-authors
- Adriano LazzarinGiulia MorsicaSabrina BagaglioFlavia LilloLaura GalliDavide FerrariMassimo GalliRoberto Novati
- Topics
- Hepatitis C virus research (48 papers)HIV/AIDS drug development and treatment (30 papers)Hepatitis B Virus Studies (25 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Caterina Uberti‐Foppa
105 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Epidemiology 1.0k
- Infectious Diseases 632
- Hepatology 433
- Virology 328
- Surgery 225
Countries citing papers authored by Caterina Uberti‐Foppa
This map shows the geographic impact of Caterina Uberti‐Foppa'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 Caterina Uberti‐Foppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Uberti‐Foppa more than expected).
Fields of papers citing papers by Caterina Uberti‐Foppa
This network shows the impact of papers produced by Caterina Uberti‐Foppa. 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 Caterina Uberti‐Foppa. The network helps show where Caterina Uberti‐Foppa may publish in the future.
Co-authorship network of co-authors of Caterina Uberti‐Foppa
This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Uberti‐Foppa. A scholar is included among the top collaborators of Caterina Uberti‐Foppa 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 Caterina Uberti‐Foppa. Caterina Uberti‐Foppa 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 | 5 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 21 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 31 | |
| 12 | 46 | |
| 13 | Rate of cirrhosis progression reduced in HIV/HCV co-infected non-responders to anti-HCV therapy. | 6 |
| 14 | 5 | |
| 15 | 30 | |
| 16 | 4 | |
| 17 | 33 | |
| 18 | 17 | |
| 19 | 15 | |
| 20 | Effect of subcutaneous thymopentin treatment in drug addicts with persistent generalized lymphadenopathy. | 11 |
About Caterina Uberti‐Foppa
Caterina Uberti‐Foppa is a scholar working on Hepatology, Virology and Infectious Diseases, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (48 papers), HIV/AIDS drug development and treatment (30 papers) and Hepatitis B Virus Studies (25 papers). The work is most often cited by research in Virology (328 citations), Hepatology (433 citations) and Infectious Diseases (632 citations). Caterina Uberti‐Foppa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Adriano Lazzarin, Giulia Morsica, Sabrina Bagaglio, Flavia Lillo, Laura Galli, Davide Ferrari, Massimo Galli, Roberto Novati, Lucia Lopalco and Antonella d’Arminio Monforte. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine 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.