Marco Mazzoletti

677 total citations
11 papers, 543 citations indexed

About

Marco Mazzoletti is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Marco Mazzoletti has authored 11 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Marco Mazzoletti's work include Cancer-related Molecular Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cell death mechanisms and regulation (2 papers). Marco Mazzoletti is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cell death mechanisms and regulation (2 papers). Marco Mazzoletti collaborates with scholars based in Italy, United Kingdom and Poland. Marco Mazzoletti's co-authors include Massimo Broggini, Faina Vikhanskaya, Kanaga Sabapathy, Tania Maffucci, Marco Falasca, Sara Previdi, Monica Lupi, Francesca Ricci, Rosaria Chilà and Giovanna Damia and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and British Journal of Cancer.

In The Last Decade

Marco Mazzoletti

11 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Mazzoletti Italy 9 413 182 97 56 46 11 543
Huchun Li United States 9 422 1.0× 121 0.7× 74 0.8× 38 0.7× 28 0.6× 9 553
Marie Villedieu France 10 416 1.0× 151 0.8× 195 2.0× 31 0.6× 61 1.3× 10 531
Peter Sicinski United States 9 457 1.1× 262 1.4× 112 1.2× 113 2.0× 46 1.0× 9 680
Stella Logotheti Germany 16 416 1.0× 212 1.2× 198 2.0× 41 0.7× 27 0.6× 33 671
Meiou Dai Canada 15 470 1.1× 300 1.6× 161 1.7× 76 1.4× 31 0.7× 21 703
Chungyoul Choe United States 13 505 1.2× 214 1.2× 162 1.7× 63 1.1× 46 1.0× 20 690
Kyoung Eun Baek South Korea 13 432 1.0× 218 1.2× 109 1.1× 75 1.3× 54 1.2× 18 633
Eddie Reed United States 12 349 0.8× 191 1.0× 84 0.9× 26 0.5× 70 1.5× 16 453
Feng Xing China 12 492 1.2× 199 1.1× 124 1.3× 33 0.6× 83 1.8× 20 644

Countries citing papers authored by Marco Mazzoletti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Mazzoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mazzoletti

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

All Works

11 of 11 papers shown
2.
Mazzoletti, Marco & Gemma Texidó. (2013). In Vivo Target Validation by Inducible RNAi in Human Xenograft Mouse Models. Methods in molecular biology. 325–337. 3 indexed citations
3.
Carrassa, Laura, Rosaria Chilà, Monica Lupi, et al.. (2012). Combined inhibition of Chk1 and Wee1: In vitro synergistic effect translates to tumor growth inhibition in vivo. Cell Cycle. 11(13). 2507–2517. 99 indexed citations
4.
Brunelli, Laura, Marta Llansola, Vicente Felipo, et al.. (2012). Insight into the neuroproteomics effects of the food-contaminant non-dioxin like polychlorinated biphenyls. Journal of Proteomics. 75(8). 2417–2430. 23 indexed citations
5.
Mazzoletti, Marco, Laura Brunelli, Roberta Pastorelli, et al.. (2011). Combination of PI3K/mTOR Inhibitors: Antitumor Activity and Molecular Correlates. Cancer Research. 71(13). 4573–4584. 64 indexed citations
6.
Falasca, Marco, H. Yasmin Godage, Marco Mazzoletti, et al.. (2010). A novel inhibitor of the PI3K/Akt pathway based on the structure of inositol 1,3,4,5,6-pentakisphosphate. British Journal of Cancer. 102(1). 104–114. 44 indexed citations
7.
Mazzoletti, Marco & Massimo Broggini. (2010). PI3K/AKT/mTOR Inhibitors In Ovarian Cancer. Current Medicinal Chemistry. 17(36). 4433–4447. 33 indexed citations
8.
Howells, Lynne, Robert G. Britton, Marco Mazzoletti, et al.. (2010). Preclinical Colorectal Cancer Chemopreventive Efficacy and p53-Modulating Activity of 3′,4′,5′-Trimethoxyflavonol, a Quercetin Analogue. Cancer Prevention Research. 3(8). 929–939. 22 indexed citations
9.
Sala, Gianluca, Francesco Dituri, Claudio Raimondi, et al.. (2008). Phospholipase Cγ1 Is Required for Metastasis Development and Progression. Cancer Research. 68(24). 10187–10196. 112 indexed citations
10.
Marabese, Mirko, Marco Mazzoletti, Faina Vikhanskaya, & Massimo Broggini. (2008). HtrA2 enhances the apoptotic functions of p73 on bax. Cell Death and Differentiation. 15(5). 849–858. 22 indexed citations
11.
Vikhanskaya, Faina, et al.. (2007). Cancer-derived p53 mutants suppress p53-target gene expression--potential mechanism for gain of function of mutant p53. Nucleic Acids Research. 35(6). 2093–2104. 118 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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