Patrizia Pontisso
- Hepatology top 0.05%
- Hepatitis C virus research 130
- Liver Disease and Transplantation 27
- Hepatocellular Carcinoma Treatment and Prognosis 22
- Epidemiology top 0.2%
- Liver Disease Diagnosis and Treatment 114
- Hepatitis B Virus Studies 106
- Virology top 5%
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 14
- Immunology top 5%
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- Systemic Lupus Erythematosus Research 22
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- Monoclonal and Polyclonal Antibodies Research 21
- Co-authors
- A. AlbertíLiliana ChemelloG. RealdiGiovanna FattovichA. RuolL. BrolloAngelo GattaLuisa Benvegnù
- Cited by
- HepatologyEpidemiologyVirology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (4 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Patrizia Pontisso
262 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 125
- Hepatology 5.4k
- Epidemiology 5.5k
- Virology 159
- Cancer Research 483
- Immunology 671
Countries citing papers authored by Patrizia Pontisso
This map shows the geographic impact of Patrizia Pontisso'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 Patrizia Pontisso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia Pontisso more than expected).
Fields of papers citing papers by Patrizia Pontisso
This network shows the impact of papers produced by Patrizia Pontisso. 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 Patrizia Pontisso. The network helps show where Patrizia Pontisso may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrizia Pontisso, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 7 | |
| 14 | Generation and Performance of Outcome Indicators in Liver Disease: The Value Based Medicine in Hepatology Study (VBMH) | 2013 | 2 |
| 15 | 2007 | 68 | |
| 16 | 1998 | 76 | |
| 17 | 1997 | 47 | |
| 18 | Chronic hepatitis B: a controlled trial of thymopentin therapy in HBV-DNA positive patients | 1992 | 3 |
| 19 | 1991 | 330 | |
| 20 | 1984 | 173 |
About Patrizia Pontisso
Patrizia Pontisso is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 276 papers that have together received 7.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (130 papers), Liver Disease Diagnosis and Treatment (114 papers), Hepatitis B Virus Studies (106 papers), Liver Disease and Transplantation (27 papers), Systemic Lupus Erythematosus Research (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Protease and Inhibitor Mechanisms (14 papers). The work is most often cited by research in Hepatology (5.4k citations), Epidemiology (5.5k citations) and Virology (159 citations). Patrizia Pontisso has collaborated with scholars based in Italy, United States and France. Frequent co-authors include A. Albertí, Liliana Chemello, G. Realdi, Giovanna Fattovich, A. Ruol, L. Brollo, Angelo Gatta, Luisa Benvegnù, Santina Quarta and G. Giustina. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.