Massimo Levrero

23.6k total citations · 5 hit papers
246 papers, 16.9k citations indexed

About

Massimo Levrero is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Massimo Levrero has authored 246 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Epidemiology, 105 papers in Hepatology and 97 papers in Molecular Biology. Recurrent topics in Massimo Levrero's work include Hepatitis B Virus Studies (117 papers), Hepatitis C virus research (96 papers) and Liver Disease Diagnosis and Treatment (57 papers). Massimo Levrero is often cited by papers focused on Hepatitis B Virus Studies (117 papers), Hepatitis C virus research (96 papers) and Liver Disease Diagnosis and Treatment (57 papers). Massimo Levrero collaborates with scholars based in Italy, France and United States. Massimo Levrero's 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 and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Massimo Levrero

241 papers receiving 16.6k citations

Hit Papers

The tyrosine kinase c-Abl regulates p73 in apoptotic resp... 1998 2026 2007 2016 1999 2016 1998 2012 2023 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Levrero Italy 67 7.5k 7.5k 5.5k 4.1k 2.9k 246 16.9k
Kunitada Shimotohno Japan 74 8.5k 1.1× 7.8k 1.0× 10.4k 1.9× 1.4k 0.3× 4.7k 1.6× 355 21.8k
Eithan Galun Israel 57 2.5k 0.3× 5.0k 0.7× 2.0k 0.4× 2.9k 0.7× 3.0k 1.0× 206 12.6k
Stewart Sell United States 60 2.5k 0.3× 4.8k 0.6× 3.0k 0.5× 2.4k 0.6× 2.7k 0.9× 302 13.7k
Percy A. Knolle Germany 68 3.8k 0.5× 4.2k 0.6× 3.2k 0.6× 2.6k 0.6× 8.1k 2.8× 216 15.8k
Atsushi Miyajima Japan 84 1.9k 0.3× 10.3k 1.4× 3.3k 0.6× 8.7k 2.1× 10.2k 3.5× 364 26.6k
Paul J. Godowski United States 51 3.0k 0.4× 6.6k 0.9× 1.2k 0.2× 1.8k 0.4× 9.8k 3.4× 64 18.6k
Carl F. Ware United States 79 3.7k 0.5× 5.6k 0.7× 807 0.1× 4.4k 1.1× 13.4k 4.6× 257 21.3k
Riccardo Cortese Italy 60 2.9k 0.4× 5.7k 0.8× 2.7k 0.5× 849 0.2× 1.4k 0.5× 144 11.1k
Aleem Siddiqui United States 55 4.8k 0.6× 4.2k 0.6× 3.5k 0.6× 715 0.2× 1.1k 0.4× 106 9.3k
Sergio Abrignani Italy 60 4.6k 0.6× 2.6k 0.3× 5.3k 1.0× 996 0.2× 4.7k 1.6× 175 12.7k

Countries citing papers authored by Massimo Levrero

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Massimo Levrero

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Levrero. A scholar is included among the top collaborators of Massimo Levrero 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 Massimo Levrero. Massimo Levrero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Jihan, Estelle Pujos‐Guillot, Stéphanie Durand, et al.. (2025). Simultaneous Activation of Beta‐Oxidation and De Novo Lipogenesis in MASLDHCC: A New Paradigm. Liver International. 45(2). e70006–e70006. 5 indexed citations
2.
3.
Baconnais, Sonia, Morgane Callon, Éric Le Cam, et al.. (2025). Structure and nucleic acid interactions of the S Δ60 domain of the hepatitis delta virus small antigen. Proceedings of the National Academy of Sciences. 122(19). e2411890122–e2411890122.
4.
Plissonnier, Marie‐Laure, Xavier Grand, Hyosun Tak, et al.. (2024). A molecular standard for circulating HBV RNA detection and quantification assays in patients with chronic hepatitis B. JHEP Reports. 6(10). 101124–101124. 1 indexed citations
6.
Allweiss, Lena, Barbara Testoni, Yu Mei, et al.. (2023). Quantification of the hepatitis B virus cccDNA: evidence-based guidelines for monitoring the key obstacle of HBV cure. Gut. 72(5). 972–983. 43 indexed citations
7.
Fromentel, Claude Caron de & Massimo Levrero. (2020). p53 functional loss, stemness and hepatocellular carcinoma. Hepatoma Research. 2020. 9 indexed citations
8.
Scopigno, T., et al.. (2016). The histone deacetylase inhibiting drug Entinostat induces lipid accumulation in differentiated HepaRG cells. Scientific Reports. 6(1). 28025–28025. 19 indexed citations
9.
Testoni, Barbara, David Durantel, Fanny Lebossé, et al.. (2015). Ribavirin restores IFNα responsiveness in HCV-infected livers by epigenetic remodelling at interferon stimulated genes. Gut. 65(4). 672–682. 13 indexed citations
10.
Belloni, Laura, et al.. (2013). 371 HAPS HEPATITIS B VIRUS (HBV) CAPSID INHIBITORS AFFECT CORE PROTEIN INTERACTION WITH THE MINICHROMOSOME AND TARGET cccDNA FUNCTION. Journal of Hepatology. 58. S153–S153. 3 indexed citations
11.
Belloni, Laura, Susana T. Valente, Dante Rotili, et al.. (2013). 56 SUPPRESSION OF HEPATITIS B VIRUS (HBV) TRANSCRIPTION AND REPLICATION BY SMALL MOLECULES THAT TARGET THE EPIGENETIC CONTROL OF NUCLEAR cccDNA MINICHROMOSOME. Journal of Hepatology. 58. S25–S25. 5 indexed citations
12.
Lefkimmiatis, Konstantinos, Mariano Francesco Caratozzolo, Paola Merlo, et al.. (2009). p73 and p63 Sustain Cellular Growth by Transcriptional Activation of Cell Cycle Progression Genes. Cancer Research. 69(22). 8563–8571. 34 indexed citations
13.
Belloni, Laura, et al.. (2009). 78 MODULATION OF THE EPIGENETIC REGULATION OF CCCDNA FUNCTION CONTRIBUTES TO IFNa INHIBITION OF HBV REPLICATION. Journal of Hepatology. 50. S32–S33. 1 indexed citations
14.
Weisz, Lilach, Alexander Damalas, Michalis Liontos, et al.. (2007). Mutant p53 Enhances Nuclear Factor κB Activation by Tumor Necrosis Factor α in Cancer Cells. Cancer Research. 67(6). 2396–2401. 170 indexed citations
15.
Strano, Sabrina, Olimpia Monti, Natalia Pediconi, et al.. (2005). The Transcriptional Coactivator Yes-Associated Protein Drives p73 Gene-Target Specificity in Response to DNA Damage. Molecular Cell. 18(4). 447–459. 299 indexed citations
16.
Piccolella, Enza, Francesca Spadaro, Carlo Ramoni, et al.. (2003). Vav-1 and the IKKα Subunit of IκB Kinase Functionally Associate to Induce NF-κB Activation in Response to CD28 Engagement. The Journal of Immunology. 170(6). 2895–2903. 47 indexed citations
17.
Albertí, A., P.L. Almasio, Antonio Ascione, et al.. (1997). Guidelines for the treatment of chronic viral hepatitis. 29(6). 597–600. 4 indexed citations
18.
Artini, Marco, Clara Natoli, Nicola Tinari, et al.. (1996). Elevated serum levels of 90K/MAC-2 BP predict unresponsiveness to α-interferon therapy in chronic HCV hepatitis patients. Journal of Hepatology. 25(2). 212–217. 83 indexed citations
19.
Artini, Marco, Roberto Nisini, Gabriele Missale, et al.. (1995). Infection of Circulating and Liver Infiltrating T Cells by Hepatitis C Virus of Different Subtypes. Viral Immunology. 8(2). 63–73. 13 indexed citations
20.
Natoli, Gioacchino, Clara Balsano, Maria Laura Avantaggiati, et al.. (1992). Truncated pre-S/S proteins transactivate multiple target sequences. PubMed. 4. 65–69. 2 indexed citations

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.

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