Massimo Levrero
- Hepatology top 0.05%
- Hepatitis C virus research 96
- Epidemiology top 0.1%
- Hepatitis B Virus Studies 117
- Liver Disease Diagnosis and Treatment 57
- Oncology top 0.5%
- Cancer-related Molecular Pathways 37
- Cancer Research top 0.5%
- NF-κB Signaling Pathways 18
- Immunology top 0.5%
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- RNA modifications and cancer 21
- Cell death mechanisms and regulation 17
- RNA Interference and Gene Delivery 15
- Co-authors
- Antonio CostanzoGioacchino NatoliClara BalsanoJessica Zucman‐RossiLaura BelloniGerry MelinoGiovanni RaimondoNatalia Pediconi
- Cited by
- HepatologyEpidemiologyOncology
- Journals
- Journal of Hepatology (39 papers)Digestive and Liver Disease (13 papers)Oncogene (12 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Massimo Levrero
241 papers receiving 16.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Hepatology 5.5k
- Epidemiology 7.5k
- Oncology 4.1k
- Cancer Research 2.3k
- Immunology 2.9k
Countries citing papers authored by Massimo Levrero
This map shows the geographic impact of Massimo Levrero'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 Massimo Levrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Levrero more than expected).
Fields of papers citing papers by Massimo Levrero
This network shows the impact of papers produced by Massimo Levrero. 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 Massimo Levrero. The network helps show where Massimo Levrero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Levrero, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 43 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 110 | |
| 8 | 2016 | 19 | |
| 9 | 2015 | 13 | |
| 10 | 2013 | 5 | |
| 11 | 2013 | 3 | |
| 12 | 2009 | 34 | |
| 13 | 2009 | 1 | |
| 14 | 2007 | 170 | |
| 15 | 2005 | 299 | |
| 16 | 2003 | 47 | |
| 17 | Guidelines for the treatment of chronic viral hepatitis | 1997 | 4 |
| 18 | 1996 | 83 | |
| 19 | 1994 | 187 | |
| 20 | 1992 | 2 |
About Massimo Levrero
Massimo Levrero is a scholar working on Hepatology, Epidemiology and Virology, having authored 246 papers that have together received 16.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (117 papers), Hepatitis C virus research (96 papers), Liver Disease Diagnosis and Treatment (57 papers), Cancer-related Molecular Pathways (37 papers), RNA modifications and cancer (21 papers), NF-κB Signaling Pathways (18 papers), Cell death mechanisms and regulation (17 papers) and RNA Interference and Gene Delivery (15 papers). The work is most often cited by research in Hepatology (5.5k citations), Epidemiology (7.5k citations) and Oncology (4.1k citations). Massimo Levrero has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Antonio Costanzo, Gioacchino Natoli, Clara Balsano, Jessica Zucman‐Rossi, Laura Belloni, Gerry Melino, Giovanni Raimondo, Natalia Pediconi, Teresa Pollicino and Francesca Guerrieri. Their work appears in journals such as Journal of Hepatology, Digestive and Liver Disease, Oncogene, Journal of Biological Chemistry 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.