Enzo Bonmassar

5.9k total citations · 1 hit paper
224 papers, 4.7k citations indexed

About

Enzo Bonmassar is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Enzo Bonmassar has authored 224 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Immunology, 78 papers in Molecular Biology and 57 papers in Oncology. Recurrent topics in Enzo Bonmassar's work include Immune Cell Function and Interaction (40 papers), T-cell and Retrovirus Studies (30 papers) and Immunotherapy and Immune Responses (24 papers). Enzo Bonmassar is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and Retrovirus Studies (30 papers) and Immunotherapy and Immune Responses (24 papers). Enzo Bonmassar collaborates with scholars based in Italy, United States and Czechia. Enzo Bonmassar's co-authors include Isabella Faraoni, John Cardone, Grazia Graziani, Stefania D’Atri, Abraham Goldin, Lucio Tentori, Ornella Franzese, A Goldin, Josef Jiricny and Lorena Rossi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Enzo Bonmassar

217 papers receiving 4.5k citations

Hit Papers

miR-155 gene: A typical multifunctional microRNA 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enzo Bonmassar Italy 35 2.3k 1.4k 1.3k 1.1k 416 224 4.7k
Bernard Sordat Switzerland 37 2.3k 1.0× 1.7k 1.2× 1.6k 1.2× 1.0k 0.9× 217 0.5× 111 5.7k
James E. Strickler United States 31 3.4k 1.5× 1.0k 0.8× 1.3k 1.0× 608 0.5× 265 0.6× 47 6.1k
Alice Mui Canada 40 2.6k 1.1× 2.6k 1.9× 3.0k 2.3× 747 0.7× 323 0.8× 92 6.5k
Jean‐François Peyron France 39 2.5k 1.1× 723 0.5× 1.4k 1.1× 1.2k 1.1× 253 0.6× 86 4.7k
Paul Brennan United Kingdom 43 2.8k 1.2× 1.0k 0.8× 1.6k 1.2× 608 0.5× 672 1.6× 95 5.5k
Javier Naval Spain 40 3.4k 1.5× 837 0.6× 1.6k 1.2× 717 0.6× 165 0.4× 106 5.1k
Subbarao Bondada United States 40 1.8k 0.8× 559 0.4× 2.2k 1.7× 578 0.5× 390 0.9× 122 4.7k
Allen Oliff United States 43 4.1k 1.8× 2.6k 1.9× 883 0.7× 562 0.5× 212 0.5× 107 6.7k
Laurent Genestier France 31 2.0k 0.8× 635 0.5× 1.9k 1.4× 626 0.5× 218 0.5× 64 4.6k
Jeffrey J. Babon Australia 38 2.7k 1.2× 1.8k 1.3× 2.0k 1.5× 496 0.4× 364 0.9× 96 5.6k

Countries citing papers authored by Enzo Bonmassar

Since Specialization
Citations

This map shows the geographic impact of Enzo Bonmassar'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 Enzo Bonmassar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enzo Bonmassar more than expected).

Fields of papers citing papers by Enzo Bonmassar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enzo Bonmassar. 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 Enzo Bonmassar. The network helps show where Enzo Bonmassar may publish in the future.

Co-authorship network of co-authors of Enzo Bonmassar

This figure shows the co-authorship network connecting the top 25 collaborators of Enzo Bonmassar. A scholar is included among the top collaborators of Enzo Bonmassar 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 Enzo Bonmassar. Enzo Bonmassar 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.
Krasnowska, Ewa K., Manuela Zonfrillo, Giampietro Ravagnan, et al.. (2022). Influence of Polydatin on the Tumor Microenvironment In Vitro: Studies with a Colon Cancer Cell Model. International Journal of Molecular Sciences. 23(15). 8442–8442. 7 indexed citations
2.
Comandini, Alessandro, Angelo Aquino, Laura Bonmassar, et al.. (2013). The antiretroviral agent saquinavir enhances hTERT expression and telomerase activity in human T leukaemia cells in vitro. Journal of Experimental & Clinical Cancer Research. 32(1). 38–38. 10 indexed citations
3.
Faraoni, Isabella & Enzo Bonmassar. (2013). Telomerase Activity as a Marker of Tumor Cell Survival to Evaluate Sensitivity of Neoplastic Cells to Cancer Treatment. 26. 284–9.
6.
Franzese, Ornella, Emanuela Balestrieri, Alessandro Comandini, et al.. (2002). Short Communication: Telomerase Activity of Human Peripheral Blood Mononuclear Cells in the Course of HTLV Type 1 Infection in Vitro. AIDS Research and Human Retroviruses. 18(4). 249–251. 12 indexed citations
7.
Tentori, Lucio, Adriana Balduzzi, Ilaria Portarena, et al.. (2001). Poly (ADP-ribose) polymerase inhibitor increases apoptosis and reduces necrosis induced by a DNA minor groove binding methyl sulfonate ester. Cell Death and Differentiation. 8(8). 817–828. 34 indexed citations
8.
D’Atri, Stefania, Lucio Tentori, Pedro Miguel Lacal, et al.. (1998). Involvement of the Mismatch Repair System in Temozolomide-Induced Apoptosis. Molecular Pharmacology. 54(2). 334–341. 232 indexed citations
9.
Macchi, Beatrice, Sandro Grelli, Cartesio Favalli, et al.. (1997). AZT inhibits the transmission of human T cell leukaemia/lymphoma virus type I to adult peripheral blood mononuclear cells in vitro.. Journal of General Virology. 78(5). 1007–1016. 58 indexed citations
10.
D’Atri, Stefania, Grazia Graziani, Pedro Miguel Lacal, et al.. (1997). Role of mismatch repair in apoptosis induced by methyltriazenes.. 38(6). 1–1. 3 indexed citations
11.
Pica, Francesca, Ornella Franzese, Chiara D’Onofrio, et al.. (1995). Effect of PGE2 on c-Myc and Bcl-2 production and programmed cell death in human lymphocytes.. PubMed. 23. 457–9. 3 indexed citations
12.
Franchi, A., Giuseppe Francesco Sferrazza Papa, Stefania D’Atri, et al.. (1992). Cytotoxic effects of dacarbazine in patients with acute myelogenous leukemia: a pilot study.. PubMed. 77(2). 146–50. 18 indexed citations
13.
D’Onofrio, Chiara, Carla Amici, Antonella Puglianiello, et al.. (1992). Comparative anti‐viral and anti‐proliferative activity of PGA1 and PGJ2 against HTLV‐I‐infected MT‐2 cells. International Journal of Cancer. 51(3). 481–488. 11 indexed citations
14.
D’Onofrio, Chiara, et al.. (1991). Differential interference of alpha, beta or gamma interferons with HTLV-I integration and expression in vitro.. PubMed. 27(1). 127–32. 1 indexed citations
15.
17.
D’Onofrio, Chiara, Enzo Bonmassar, & M. Santoro. (1989). Inhibition of HTLV-I infection in vitro by antiviral prostaglandins A and J. Pharmacological Research. 21(5). 665–666. 1 indexed citations
18.
Cornaglia‐Ferraris, P., Riccardo Stradi, Paolo Puccetti, et al.. (1985). Immunomodulatory properties of A N-9 arginil hypoxantine derivative (PCF 39). International Journal of Immunopharmacology. 7(3). 338–338. 2 indexed citations
19.
Marconi, P, Francesco Bistoni, Antonio Cassone, et al.. (1982). The role of the peritoneal cavity in successful treatment of a murine lymphoma with chemotherapy and non-specific immunostimulation. Cancer Immunology Immunotherapy. 13(2). 128–33. 2 indexed citations
20.
Bonmassar, Enzo, A Goldin, & Gustavo Cudkowicz. (1971). DIFFERENTIAL REACTIVITY OF MICE TO ALLOANTIGENS ASSOCIATED WITH THE D AND K END OF H-2. Transplantation. 12(4). 314–318. 20 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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