Vincenzo Sangiovanni
- Infectious Diseases top 10%
- Epidemiology
- Hepatology top 10%
- Surgery
- Oncology
- Co-authors
- Vincenzo EspositoRosaria VigliettiAntonio ChirianniMaria Aurora CarleoAngelica PernaAntonio De LucaFrancesco Maria FuscoValentina Giorgio
- Topics
- Liver Disease Diagnosis and Treatment (6 papers)Hepatitis C virus research (6 papers)COVID-19 Clinical Research Studies (5 papers)
- Partner nations
- Italy
In The Last Decade
Vincenzo Sangiovanni
23 papers receiving 298 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 123
- Epidemiology 91
- Hepatology 63
- Surgery 58
- Oncology 41
Countries citing papers authored by Vincenzo Sangiovanni
This map shows the geographic impact of Vincenzo Sangiovanni'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 Vincenzo Sangiovanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Sangiovanni more than expected).
Fields of papers citing papers by Vincenzo Sangiovanni
This network shows the impact of papers produced by Vincenzo Sangiovanni. 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 Vincenzo Sangiovanni. The network helps show where Vincenzo Sangiovanni may publish in the future.
Co-authorship network of co-authors of Vincenzo Sangiovanni
This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Sangiovanni. A scholar is included among the top collaborators of Vincenzo Sangiovanni 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 Vincenzo Sangiovanni. Vincenzo Sangiovanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 58 | |
| 6 | 4 | |
| 7 | Differences among confirmed and not-confirmed COVID-19 patients at "D.Cotugno" hospital, Naples (Italy): what we learned from first suspected cases? | 5 |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | Interferon gamma release assays and tubercolin skin test performance in different settings of HIV immunodeficiency. | 2 |
| 15 | Comparative transcriptional profiling in HIV-infected patients using human stress arrays: clues to metabolic syndrome. | 7 |
| 16 | 19 | |
| 17 | Successful treatment of Cryptococcal meningitis with a combination of liposomal amphotericin B, flucytosine and posaconazole: two case reports. | 14 |
| 18 | 35 | |
| 19 | 26 | |
| 20 | 16 |
About Vincenzo Sangiovanni
Vincenzo Sangiovanni is a scholar working on Hepatology, Virology and Infectious Diseases, having authored 23 papers that have together received 303 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Hepatology (63 citations), Infectious Diseases (123 citations) and Modeling and Simulation (24 citations). Vincenzo Sangiovanni has collaborated with scholars based in Italy. Frequent co-authors include Vincenzo Esposito, Rosaria Viglietti, Antonio Chirianni, Maria Aurora Carleo, Angelica Perna, Antonio De Luca, Francesco Maria Fusco, Valentina Giorgio, G. de Stefano and G. Liorre. Their work appears in journals such as Journal of Hepatology, AIDS and Clinical Gastroenterology and Hepatology.
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.