Raffaele Frazzi

1.2k total citations
39 papers, 937 citations indexed

About

Raffaele Frazzi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Raffaele Frazzi has authored 39 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Immunology. Recurrent topics in Raffaele Frazzi's work include Sirtuins and Resveratrol in Medicine (7 papers), Toxin Mechanisms and Immunotoxins (7 papers) and PARP inhibition in cancer therapy (5 papers). Raffaele Frazzi is often cited by papers focused on Sirtuins and Resveratrol in Medicine (7 papers), Toxin Mechanisms and Immunotoxins (7 papers) and PARP inhibition in cancer therapy (5 papers). Raffaele Frazzi collaborates with scholars based in Italy, France and United Kingdom. Raffaele Frazzi's co-authors include Norbert Latruffe, Allan Lançon, Stefania Conti, Luciano Polonelli, Walter Magliani, Francesco Merli, Ione Tamagnini, Riccardo Valli, Bruno Casali and Lara Ravanetti and has published in prestigious journals such as Blood, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Raffaele Frazzi

37 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaele Frazzi Italy 17 454 165 164 163 130 39 937
Annemette Thougaard Denmark 19 504 1.1× 151 0.9× 128 0.8× 81 0.5× 355 2.7× 30 1.2k
Sekhar Majumdar India 17 729 1.6× 94 0.6× 228 1.4× 283 1.7× 169 1.3× 18 1.4k
Francesco Fiorentino Italy 19 630 1.4× 207 1.3× 127 0.8× 121 0.7× 190 1.5× 50 1.0k
Ji‐Hua Ren China 19 560 1.2× 320 1.9× 572 3.5× 221 1.4× 172 1.3× 51 1.3k
Dan Su China 12 801 1.8× 141 0.9× 143 0.9× 121 0.7× 167 1.3× 26 1.3k
Maria Viskaduraki United Kingdom 9 318 0.7× 324 2.0× 150 0.9× 65 0.4× 116 0.9× 14 875
Xin Hu China 20 551 1.2× 33 0.2× 174 1.1× 183 1.1× 147 1.1× 67 1.2k
Genshi Zhao United States 27 1.6k 3.6× 105 0.6× 277 1.7× 464 2.8× 182 1.4× 52 2.4k
Gian G. Re United States 19 1.2k 2.5× 75 0.5× 137 0.8× 117 0.7× 173 1.3× 35 1.7k
Timo Weiland Germany 11 380 0.8× 73 0.4× 113 0.7× 54 0.3× 108 0.8× 21 617

Countries citing papers authored by Raffaele Frazzi

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Frazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Frazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Frazzi. A scholar is included among the top collaborators of Raffaele Frazzi 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 Raffaele Frazzi. Raffaele Frazzi 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.
Frazzi, Raffaele, Enrico Farnetti, & Davide Nicoli. (2025). circRNA/miRNA Networks Regulate KLF4 in Tumor Development. Non-Coding RNA. 11(4). 56–56.
2.
Frazzi, Raffaele. (2024). KLF4 is an epigenetically modulated, context-dependent tumor suppressor. Frontiers in Cell and Developmental Biology. 12. 1392391–1392391. 11 indexed citations
3.
Frisardi, Vincenza, et al.. (2023). The Significance of Microenvironmental and Circulating Lactate in Breast Cancer. International Journal of Molecular Sciences. 24(20). 15369–15369. 14 indexed citations
4.
Neri, Antonino, et al.. (2023). The lncRNA epigenetics: The significance of m6A and m5C lncRNA modifications in cancer. Frontiers in Oncology. 13. 1063636–1063636. 46 indexed citations
5.
Braglia, Luca, et al.. (2022). Methylation Heterogeneity and Gene Expression of SPG20 in Solid Tumors. Genes. 13(5). 861–861. 2 indexed citations
6.
Frazzi, Raffaele. (2021). BIRC3 and BIRC5: multi‐faceted inhibitors in cancer. Cell & Bioscience. 11(1). 8–8. 129 indexed citations
7.
Bisagni, Alessandra, et al.. (2021). Copy Number Variation and Rearrangements Assessment in Cancer: Comparison of Droplet Digital PCR with the Current Approaches. International Journal of Molecular Sciences. 22(9). 4732–4732. 18 indexed citations
8.
Frazzi, Raffaele, et al.. (2020). Droplet digital PCR is a sensitive tool for the detection of TP53 deletions and point mutations in chronic lymphocytic leukaemia. British Journal of Haematology. 189(2). e49–e52. 16 indexed citations
9.
Montanari, Eva, Maria Paola Bonasoni, Federica Alessandrini, et al.. (2019). CYP2B6, ABCB1 and OPRM1 profile in a stillborn affected by chronic methadone intoxication. Forensic Toxicology. 37(2). 507–516. 2 indexed citations
10.
Frazzi, Raffaele. (2018). SIRT1 in Secretory Organ Cancer. Frontiers in Endocrinology. 9. 569–569. 23 indexed citations
11.
Frazzi, Raffaele, Eleonora Zanetti, Mariaelena Pistoni, et al.. (2017). Methylation changes of SIRT1, KLF4, DAPK1 and SPG20 in B-lymphocytes derived from follicular and diffuse large B-cell lymphoma. Leukemia Research. 57. 89–96. 27 indexed citations
12.
Frazzi, Raffaele, et al.. (2017). Cellular and Molecular Targets of Resveratrol on Lymphoma and Leukemia Cells. Molecules. 22(6). 885–885. 25 indexed citations
13.
Frazzi, Raffaele & Marco Tigano. (2014). The Multiple Mechanisms of Cell Death Triggered by Resveratrol in Lymphoma and Leukemia. International Journal of Molecular Sciences. 15(3). 4977–4993. 26 indexed citations
14.
Frazzi, Raffaele, Marco Tigano, Riccardo Valli, et al.. (2014). SIRT1 Expression Is Higher in Human Follicular Lymphoma and Correlates with Ki67 and Bcl-6 Overexpression. Blood. 124(21). 1649–1649. 2 indexed citations
15.
Wheeler, Matthew C., et al.. (2006). Ex VivoProgramming of Antigen-Presenting B Lymphocytes: Considerations on DNA Uptake and Cell Activation. International Reviews of Immunology. 25(3-4). 83–97. 5 indexed citations
16.
Magliani, Walter, et al.. (2003). Biotechnological Approaches to the Production of Idiotypic Vaccines and Antiidiotypic Antibiotics. Current Pharmaceutical Biotechnology. 4(2). 91–97. 10 indexed citations
17.
Savoia, Dianella, et al.. (2002). In Vitro Leishmanicidal Activity of a Monoclonal Antibody mimicking a Yeast Killer Toxin. Journal of Eukaryotic Microbiology. 49(4). 319–323. 24 indexed citations
18.
Magliani, Walter, et al.. (2002). Engineered Commensal Bacteria as Delivery Systems of Anti-infective Mucosal Protectants. Biotechnology and Genetic Engineering Reviews. 19(1). 139–158. 5 indexed citations
19.
Polonelli, Luciano, Arturo Casadevall, Yu Han, et al.. (2000). The efficacy of acquired humoral and cellular immunity in the prevention and therapy of experimental fungal infections. Medical Mycology. 38(s1). 281–292. 40 indexed citations
20.
Conti, Stefania, et al.. (2000). Controlled Delivery of Biotechnological Products. Current Pharmaceutical Biotechnology. 1(4). 313–323. 12 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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