Luca Mazzarella

3.3k total citations
90 papers, 1.8k citations indexed

About

Luca Mazzarella is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Luca Mazzarella has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 27 papers in Molecular Biology and 27 papers in Cancer Research. Recurrent topics in Luca Mazzarella's work include Cancer Genomics and Diagnostics (24 papers), Cancer Immunotherapy and Biomarkers (19 papers) and CAR-T cell therapy research (11 papers). Luca Mazzarella is often cited by papers focused on Cancer Genomics and Diagnostics (24 papers), Cancer Immunotherapy and Biomarkers (19 papers) and CAR-T cell therapy research (11 papers). Luca Mazzarella collaborates with scholars based in Italy, United States and United Kingdom. Luca Mazzarella's co-authors include Pier Giuseppe Pelicci, Giuseppe Curigliano, Sara Gandini, Laura Fancello, Panos Tsopelas, Fabrizio Scarpa, Massimo Ruzzene, Dario Trapani, Alessandro Guida and Saverio Minucci and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Luca Mazzarella

85 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Mazzarella Italy 22 797 712 409 281 274 90 1.8k
George Haddad Canada 25 1.0k 1.3× 925 1.3× 372 0.9× 226 0.8× 216 0.8× 51 2.4k
George Z. Cheng United States 24 1.4k 1.8× 750 1.1× 397 1.0× 178 0.6× 536 2.0× 67 2.6k
Chaoyang Sun China 27 1.2k 1.5× 693 1.0× 536 1.3× 286 1.0× 145 0.5× 87 2.2k
Amit Deshpande United States 14 781 1.0× 670 0.9× 315 0.8× 287 1.0× 204 0.7× 28 1.5k
Youngil Koh South Korea 21 675 0.8× 729 1.0× 211 0.5× 121 0.4× 546 2.0× 143 1.7k
Bin Feng China 29 1.4k 1.8× 978 1.4× 649 1.6× 206 0.7× 196 0.7× 102 3.3k
Junchao Guo China 24 912 1.1× 1.1k 1.5× 522 1.3× 247 0.9× 338 1.2× 104 2.2k
Martin Dietrich United States 16 647 0.8× 399 0.6× 268 0.7× 112 0.4× 134 0.5× 41 1.5k
Hongmei Wang China 24 944 1.2× 334 0.5× 195 0.5× 215 0.8× 155 0.6× 93 2.0k
Cong Li China 26 714 0.9× 981 1.4× 308 0.8× 232 0.8× 200 0.7× 164 2.1k

Countries citing papers authored by Luca Mazzarella

Since Specialization
Citations

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

Fields of papers citing papers by Luca Mazzarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Mazzarella

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Mazzarella. A scholar is included among the top collaborators of Luca Mazzarella 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 Luca Mazzarella. Luca Mazzarella 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.
Gervaso, Lorenzo, Gianmaria Frigè, Francesca Spada, et al.. (2024). The Role of Liquid Biopsy in Gastroenteropancreatic Neuroendocrine Neoplasms. Cancers. 16(19). 3349–3349. 2 indexed citations
2.
Pallocca, Matteo, et al.. (2024). Clinical bioinformatics desiderata for molecular tumor boards. Briefings in Bioinformatics. 25(5). 2 indexed citations
3.
Riccio, Marco Del, Virginia Vettori, Sara Raimondi, et al.. (2023). The clinical impact of continued smoking in patients with breast and other hormone-dependent cancer: A systematic literature review. Critical Reviews in Oncology/Hematology. 184. 103951–103951. 4 indexed citations
4.
5.
Gambino, Valentina, Paolo Falvo, Elena Gatti, et al.. (2023). A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer. Cancer Research. 83(13). 2155–2170. 2 indexed citations
6.
7.
Atkins, Michael B., Hamzah Abu‐Sbeih, Paolo A. Ascierto, et al.. (2022). Maximizing the value of phase III trials in immuno-oncology: A checklist from the Society for Immunotherapy of Cancer (SITC). Journal for ImmunoTherapy of Cancer. 10(9). e005413–e005413. 7 indexed citations
8.
Fancello, Laura, Alessandro Guida, Gianmaria Frigè, et al.. (2021). TMBleR: a bioinformatic tool to optimize TMB estimation and predictive power. Bioinformatics. 38(6). 1724–1726. 1 indexed citations
9.
Mazzarella, Luca, Silvia Giugliano, Paolo D’Amico, et al.. (2020). Evidence for interleukin 17 involvement in severe immune-related neuroendocrine toxicity. European Journal of Cancer. 141. 218–224. 14 indexed citations
10.
Duso, Bruno A., Dario Trapani, Antonio Marra, et al.. (2020). Pharmacological management of male breast cancer. Expert Opinion on Pharmacotherapy. 21(12). 1493–1504. 7 indexed citations
11.
Mazzarella, Luca, Bruno A. Duso, Dario Trapani, et al.. (2019). The evolving landscape of ‘next-generation’ immune checkpoint inhibitors: A review. European Journal of Cancer. 117. 14–31. 80 indexed citations
12.
Duso, Bruno A., et al.. (2019). Secondary mechanisms of anti-HER2 resistance in breast cancer: NF1 as an actionable target. Annals of Oncology. 30. iii6–iii7.
13.
Santoro, Angela, Lucilla Luzi, Giorgio Melloni, et al.. (2019). p53 Loss in Breast Cancer Leads to Myc Activation, Increased Cell Plasticity, and Expression of a Mitotic Signature with Prognostic Value. Cell Reports. 26(3). 624–638.e8. 53 indexed citations
14.
Mazzarella, Luca, Edoardo Botteri, Anthony Matthews, et al.. (2019). Obesity is a risk factor for acute promyelocytic leukemia: evidence from population and cross-sectional studies and correlation with FLT3 mutations and polyunsaturated fatty acid metabolism. Haematologica. 105(6). 1559–1566. 30 indexed citations
15.
Belli, Carmen, Massimo Zuin, Luca Mazzarella, et al.. (2018). Liver toxicity in the era of immune checkpoint inhibitors: A practical approach. Critical Reviews in Oncology/Hematology. 132. 125–129. 21 indexed citations
16.
Duso, Bruno A., Dario Trapani, Giulia Viale, et al.. (2018). Clinical efficacy of ribociclib as a first-line therapy for HR-positive, advanced breast cancer. Expert Opinion on Pharmacotherapy. 19(3). 299–305. 4 indexed citations
17.
Mazzarella, Luca. (2016). ecancermedicalscience. ecancermedicalscience. 8. 390–390. 1 indexed citations
18.
Mazzarella, Luca. (2016). Orlando Magic: report from the 57th meeting of the American Society of Haematology, 5–7 December 2015, Orlando, USA. ecancermedicalscience. 10. 612–612. 3 indexed citations
19.
Ferri, Nicola, Stefano Cazzaniga, Luca Mazzarella, et al.. (2013). Cytotoxic effect of (1-methyl-1H-imidazol-2-yl)-methanamine and its derivatives in PtII complexes on human carcinoma cell lines: A comparative study with cisplatin. Bioorganic & Medicinal Chemistry. 21(8). 2379–2386. 22 indexed citations
20.
Liber, Daniel, Renae Domaschenz, Per-Henrik Holmqvist, et al.. (2010). Epigenetic Priming of a Pre-B Cell-Specific Enhancer through Binding of Sox2 and Foxd3 at the ESC Stage. Cell stem cell. 7(1). 114–126. 65 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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