Gianpiero Di Leva

11.6k total citations · 2 hit papers
39 papers, 5.5k citations indexed

About

Gianpiero Di Leva is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Gianpiero Di Leva has authored 39 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cancer Research, 29 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Gianpiero Di Leva's work include MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (18 papers). Gianpiero Di Leva is often cited by papers focused on MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (18 papers). Gianpiero Di Leva collaborates with scholars based in United States, Italy and United Kingdom. Gianpiero Di Leva's co-authors include Carlo M. Croce, Michela Garofalo, Marilena V. Iorio, Cristian Taccioli, Patrizia Casalini, Stefano Volinia, Hansjüerg Alder, Sylvie Ménard, George A. Calin and Fabio Petrocca and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Gianpiero Di Leva

38 papers receiving 5.4k citations

Hit Papers

MicroRNAs in Cancer 2007 2026 2013 2019 2013 2007 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianpiero Di Leva United States 25 4.5k 4.3k 575 298 288 39 5.5k
Eva Bandrés Spain 33 3.5k 0.8× 2.9k 0.7× 843 1.5× 284 1.0× 381 1.3× 78 4.9k
Massimo Pedriali Italy 18 3.5k 0.8× 3.2k 0.8× 675 1.2× 221 0.7× 210 0.7× 47 4.4k
Francesca Lovat United States 33 3.5k 0.8× 3.1k 0.7× 708 1.2× 345 1.2× 521 1.8× 52 4.7k
Michela Garofalo United States 33 4.2k 0.9× 3.8k 0.9× 449 0.8× 289 1.0× 327 1.1× 53 5.1k
Sun-Mi Park United States 21 3.5k 0.8× 2.6k 0.6× 956 1.7× 244 0.8× 638 2.2× 31 4.7k
Joanne B. Weidhaas United States 33 4.1k 0.9× 4.2k 1.0× 1.1k 1.9× 494 1.7× 325 1.1× 103 5.9k
Emmanuel Labourier United States 27 5.2k 1.1× 4.1k 1.0× 715 1.2× 159 0.5× 258 0.9× 46 6.6k
Takeshi Chiyomaru Japan 44 4.4k 1.0× 4.1k 1.0× 424 0.7× 405 1.4× 232 0.8× 76 5.3k
Nijiro Nohata Japan 39 3.1k 0.7× 2.6k 0.6× 393 0.7× 312 1.0× 211 0.7× 62 3.7k
Oliver A. Kent Canada 22 3.5k 0.8× 3.0k 0.7× 484 0.8× 132 0.4× 207 0.7× 32 4.2k

Countries citing papers authored by Gianpiero Di Leva

Since Specialization
Citations

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

Fields of papers citing papers by Gianpiero Di Leva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianpiero Di Leva. 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 Gianpiero Di Leva. The network helps show where Gianpiero Di Leva may publish in the future.

Co-authorship network of co-authors of Gianpiero Di Leva

This figure shows the co-authorship network connecting the top 25 collaborators of Gianpiero Di Leva. A scholar is included among the top collaborators of Gianpiero Di Leva 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 Gianpiero Di Leva. Gianpiero Di Leva 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.
Leva, Gianpiero Di, et al.. (2023). Drug Resistance in Medulloblastoma Is Driven by YB-1, ABCB1 and a Seven-Gene Drug Signature. Cancers. 15(4). 1086–1086. 9 indexed citations
2.
Shi, Lei, Peter Magee, Matteo Fassan, et al.. (2021). A KRAS-responsive long non-coding RNA controls microRNA processing. Nature Communications. 12(1). 2038–2038. 32 indexed citations
3.
Tang, Haoran, Grazia Saturno, Amaya Virós, et al.. (2017). Lysyl oxidase drives tumour progression by trapping EGF receptors at the cell surface. Nature Communications. 8(1). 14909–14909. 73 indexed citations
4.
Cheung, Douglas G., et al.. (2017). miRNAs in bone metastasis. Expert Review of Endocrinology & Metabolism. 12(6). 451–461. 3 indexed citations
5.
Santi, Chiara De, Ombretta Melaiu, Alessandra Bonotti, et al.. (2017). Deregulation of miRNAs in malignant pleural mesothelioma is associated with prognosis and suggests an alteration of cell metabolism. Scientific Reports. 7(1). 3140–3140. 47 indexed citations
6.
D’Ippolito, Elvira, Ilaria Plantamura, Lucia Bongiovanni, et al.. (2016). miR-9 and miR-200 Regulate PDGFRβ-Mediated Endothelial Differentiation of Tumor Cells in Triple-Negative Breast Cancer. Cancer Research. 76(18). 5562–5572. 72 indexed citations
7.
Drusco, Alessandra, Gerard J. Nuovo, Nicola Zanesi, et al.. (2014). MicroRNA Profiles Discriminate among Colon Cancer Metastasis. PLoS ONE. 9(6). e96670–e96670. 96 indexed citations
8.
Garofalo, Michela, Gianpiero Di Leva, & Carlo M. Croce. (2014). microRNAs as Anti-Cancer Therapy. Current Pharmaceutical Design. 20(33). 5328–5335. 58 indexed citations
9.
Garofalo, Michela, Young-Jun Jeon, Gerard J. Nuovo, et al.. (2013). MiR-34a/c-Dependent PDGFR-α/β Downregulation Inhibits Tumorigenesis and Enhances TRAIL-Induced Apoptosis in Lung Cancer. PLoS ONE. 8(6). e67581–e67581. 103 indexed citations
10.
Leva, Gianpiero Di & Carlo M. Croce. (2013). miRNA profiling of cancer. Current Opinion in Genetics & Development. 23(1). 3–11. 358 indexed citations
11.
Folcik, Virginia A, Michela Garofalo, Jack Coleman, et al.. (2013). Idiopathic pulmonary fibrosis is strongly associated with productive infection by herpesvirus saimiri. Modern Pathology. 27(6). 851–862. 32 indexed citations
12.
Leva, Gianpiero Di, Daniel Briskin, & Carlo M. Croce. (2012). MicroRNA in cancer: New hopes for antineoplastic chemotherapy. Upsala Journal of Medical Sciences. 117(2). 202–216. 36 indexed citations
13.
Piovan, Claudia, Dario Palmieri, Gianpiero Di Leva, et al.. (2012). Oncosuppressive role of p53‐induced miR‐205 in triple negative breast cancer. Molecular Oncology. 6(4). 458–472. 130 indexed citations
14.
Leva, Gianpiero Di & Carlo M. Croce. (2010). Roles of small RNAs in tumor formation. Trends in Molecular Medicine. 16(6). 257–267. 217 indexed citations
15.
Rao, Xi, Gianpiero Di Leva, Cecilia Devlin, et al.. (2010). MicroRNA-221/222 confers breast cancer fulvestrant resistance by regulating multiple signaling pathways. Oncogene. 30(9). 1082–1097. 282 indexed citations
16.
Iorio, Marilena V., Patrizia Casalini, Claudia Piovan, et al.. (2009). microRNA-205 Regulates HER3 in Human Breast Cancer. Cancer Research. 69(6). 2195–2200. 298 indexed citations
17.
Garofalo, Michela, Cristina Quintavalle, Gianpiero Di Leva, et al.. (2008). MicroRNA signatures of TRAIL resistance in human non-small cell lung cancer. Oncogene. 27(27). 3845–3855. 231 indexed citations
18.
Iorio, Marilena V., Rosa Visone, Gianpiero Di Leva, et al.. (2007). MicroRNA Signatures in Human Ovarian Cancer. Cancer Research. 67(18). 8699–8707. 1199 indexed citations breakdown →
19.
Petrocca, Fabio, Dimitrios Iliopoulos, Haiyan Qin, et al.. (2006). Alterations of the Tumor Suppressor Gene ARLTS1 in Ovarian Cancer. Cancer Research. 66(21). 10287–10291. 37 indexed citations
20.
Leva, Gianpiero Di, George A. Calin, & Carlo M. Croce. (2006). MicroRNAs: Fundamental facts and involvement in human diseases. Birth Defects Research Part C Embryo Today Reviews. 78(2). 180–189. 71 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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