Claudia Piovan

2.1k total citations
18 papers, 1.4k citations indexed

About

Claudia Piovan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Claudia Piovan has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Claudia Piovan's work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). Claudia Piovan is often cited by papers focused on MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). Claudia Piovan collaborates with scholars based in Italy, United States and France. Claudia Piovan's co-authors include Marilena V. Iorio, Carlo M. Croce, Gianpiero Di Leva, Patrizia Casalini, Elda Tagliabue, Tiziana Triulzi, Andrea Merlo, Sylvie Ménard, Gerard J. Nuovo and Cristian Taccioli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and JNCI Journal of the National Cancer Institute.

In The Last Decade

Claudia Piovan

18 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Piovan Italy 14 1.2k 908 224 109 79 18 1.4k
Deli Hong United States 19 757 0.7× 293 0.3× 264 1.2× 67 0.6× 76 1.0× 25 971
Irene K. Guttilla Reed United States 10 720 0.6× 577 0.6× 191 0.9× 52 0.5× 43 0.5× 13 902
Qinlong Gu China 23 1.0k 0.9× 632 0.7× 267 1.2× 73 0.7× 154 1.9× 40 1.3k
Ricardo López de Cicco United States 15 567 0.5× 324 0.4× 363 1.6× 85 0.8× 63 0.8× 20 1.0k
Wei Wen Teo United States 12 624 0.5× 451 0.5× 284 1.3× 125 1.1× 30 0.4× 18 899
Yanxia Lu China 19 1.0k 0.9× 843 0.9× 194 0.9× 28 0.3× 110 1.4× 28 1.3k
Nadya Dimitrova United States 15 1.6k 1.4× 784 0.9× 267 1.2× 71 0.7× 82 1.0× 20 1.8k
Peter Čamaj Germany 16 507 0.4× 279 0.3× 355 1.6× 76 0.7× 81 1.0× 22 788
Lynnsie Ruffino United States 10 1.0k 0.9× 815 0.9× 213 1.0× 32 0.3× 50 0.6× 10 1.3k
Pavlova Tv Russia 19 657 0.6× 287 0.3× 216 1.0× 79 0.7× 70 0.9× 47 947

Countries citing papers authored by Claudia Piovan

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Piovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Piovan

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

All Works

18 of 18 papers shown
1.
Cataldo, Alessandra, Claudia Piovan, Ilaria Plantamura, et al.. (2018). MiR-205 as predictive biomarker and adjuvant therapeutic tool in combination with trastuzumab. Oncotarget. 9(46). 27920–27928. 15 indexed citations
2.
Pema, Monika, Anna Stornaiuolo, Claudia Piovan, et al.. (2017). Codon Optimization Leads to Functional Impairment of RD114-TR Envelope Glycoprotein. Molecular Therapy — Methods & Clinical Development. 4. 102–114. 11 indexed citations
3.
Piovan, Claudia, Virna Marin, Cinzia Scavullo, et al.. (2017). Vectofusin-1 Promotes RD114-TR-Pseudotyped Lentiviral Vector Transduction of Human HSPCs and T Lymphocytes. Molecular Therapy — Methods & Clinical Development. 5. 22–30. 16 indexed citations
4.
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
5.
Giuliani, Erica, Claudia Piovan, Cinzia Scavullo, et al.. (2016). 130. Purification of Large Scale mRNA Encoding ZFN Nucleases by dHPLC Technology. Molecular Therapy. 24. S53–S54. 2 indexed citations
6.
Marin, Virna, Anna Stornaiuolo, Claudia Piovan, et al.. (2016). RD-MolPack technology for the constitutive production of self-inactivating lentiviral vectors pseudotyped with the nontoxic RD114-TR envelope. Molecular Therapy — Methods & Clinical Development. 3. 16033–16033. 18 indexed citations
7.
Piovan, Claudia, Elvira D’Ippolito, Ilaria Plantamura, et al.. (2016). Abstract 1068: The promise of miR-205 in HER2+ breast cancer: predicting response to Trastuzumab and overcoming resistance. Cancer Research. 76(14_Supplement). 1068–1068. 1 indexed citations
8.
Palmieri, Dario, Claudia Piovan, Nicola Zanesi, et al.. (2015). Human anti-nucleolin recombinant immunoagent for cancer therapy. Proceedings of the National Academy of Sciences. 112(30). 9418–9423. 57 indexed citations
9.
Jeon, Young-Jun, Justin Middleton, Tae‐Wan Kim, et al.. (2015). A set of NF-κB–regulated microRNAs induces acquired TRAIL resistance in Lung cancer. Proceedings of the National Academy of Sciences. 112(26). E3355–64. 64 indexed citations
10.
Piovan, Claudia, et al.. (2014). Generation of Mouse Lines Conditionally Over-expressing MicroRNA Using the Rosa26-Lox-Stop-Lox System. Methods in molecular biology. 1194. 203–224. 7 indexed citations
11.
Zappasodi, Roberta, Marilena V. Iorio, Monica Tortoreto, et al.. (2014). Pleiotropic antitumor effects of the pan‐HDAC inhibitor ITF2357 against c‐Myc‐overexpressing human B‐cell non‐Hodgkin lymphomas. International Journal of Cancer. 135(9). 2034–2045. 17 indexed citations
12.
Gandellini, Paolo, Elisa Giannoni, Maria Letizia Taddei, et al.. (2013). miR-205 Hinders the Malignant Interplay Between Prostate Cancer Cells and Associated Fibroblasts. Antioxidants and Redox Signaling. 20(7). 1045–1059. 66 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.
Iorio, Marilena V., Patrizia Casalini, Claudia Piovan, Luca Braccioli, & Elda Tagliabue. (2011). Breast cancer and microRNAs: therapeutic impact. The Breast. 20. S63–S70. 86 indexed citations
15.
Leva, Gianpiero Di, Pierluigi Gasparini, Claudia Piovan, et al.. (2010). MicroRNA Cluster 221-222 and Estrogen Receptor α Interactions in Breast Cancer. JNCI Journal of the National Cancer Institute. 102(10). 706–721. 257 indexed citations
16.
Iorio, Marilena V., Claudia Piovan, & Carlo M. Croce. (2010). Interplay between microRNAs and the epigenetic machinery: An intricate network. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1799(10-12). 694–701. 230 indexed citations
17.
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
18.
Taccioli, Cristian, Enrica Fabbri, Rosa Visone, et al.. (2008). UCbase & miRfunc: a database of ultraconserved sequences and microRNA function. Nucleic Acids Research. 37(Database). D41–D48. 31 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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