Rosa Pasquinelli

636 total citations
18 papers, 488 citations indexed

About

Rosa Pasquinelli is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rosa Pasquinelli has authored 18 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rosa Pasquinelli's work include Thyroid Cancer Diagnosis and Treatment (6 papers), Genetic factors in colorectal cancer (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Rosa Pasquinelli is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), Genetic factors in colorectal cancer (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Rosa Pasquinelli collaborates with scholars based in Italy, United States and Spain. Rosa Pasquinelli's co-authors include Gennaro Chiappetta, Alfredo Fusco, Mario Monaco, Claudio Arra, Giuseppe D’Aiuto, Giovanna Maria Pierantoni, Emilia Vuttariello, Gerardo Botti, Monica Fedele and Daniela Califano and has published in prestigious journals such as Nucleic Acids Research, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

In The Last Decade

Rosa Pasquinelli

18 papers receiving 482 citations

Peers

Rosa Pasquinelli
Edward Tom United States
S. G. Shering Ireland
Richard D. Sowery Canada
Soumya Ullas United States
Stanislav Zelivianski United States
Eiichi Makino Japan
Girish Sardana Canada
Tongzhen Chen China
Diane L. Trinh Canada
Anousheh Zardan Canada
Edward Tom United States
Rosa Pasquinelli
Citations per year, relative to Rosa Pasquinelli Rosa Pasquinelli (= 1×) peers Edward Tom

Countries citing papers authored by Rosa Pasquinelli

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Pasquinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Pasquinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Pasquinelli. A scholar is included among the top collaborators of Rosa Pasquinelli 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 Rosa Pasquinelli. Rosa Pasquinelli 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.
Romano, Annunciata, Rosa Pasquinelli, Sandro Pignata, et al.. (2015). Detection of high mobility group A2 specific mRNA in the plasma of patients affected by epithelial ovarian cancer. Oncotarget. 6(22). 19328–19335. 17 indexed citations
2.
Chiappetta, Gennaro, Teresa Valentino, Rosa Pasquinelli, et al.. (2015). PATZ1 acts as a tumor suppressor in thyroid cancer via targeting p53-dependent genes involved in EMT and cell migration. Oncotarget. 6(7). 5310–5323. 44 indexed citations
3.
Chiappetta, Gennaro, Anna Basile, Antônio Barbieri, et al.. (2014). The anti-apoptotic BAG3 protein is expressed in lung carcinomas and regulates small cell lung carcinoma (SCLC) tumor growth. Oncotarget. 5(16). 6846–6853. 32 indexed citations
4.
Mancini, Marcello, Adelaide Greco, Giuliana Salvatore, et al.. (2013). Imaging of thyroid tumor angiogenesis with microbubbles targeted to vascular endothelial growth factor receptor type 2 in mice. BMC Medical Imaging. 13(1). 31–31. 16 indexed citations
5.
Chiappetta, Gennaro, Anna Basile, Claudio Arra, et al.. (2011). BAG3 Down-Modulation Reduces Anaplastic Thyroid Tumor Growth by Enhancing Proteasome-Mediated Degradation of BRAF Protein. The Journal of Clinical Endocrinology & Metabolism. 97(1). E115–E120. 28 indexed citations
6.
Fedele, Monica, Dario Palmieri, Gennaro Chiappetta, et al.. (2009). Impairment of the p27kip1 function enhances thyroid carcinogenesis in TRK-T1 transgenic mice. Endocrine Related Cancer. 16(2). 483–490. 14 indexed citations
7.
Califano, Daniela, Sandro Pignata, Carmela Pisano, et al.. (2009). FEZ1/LZTS1 protein expression in ovarian cancer. Journal of Cellular Physiology. 222(2). 382–386. 18 indexed citations
8.
Chiappetta, Gennaro, Angelo Ferraro, Gerardo Botti, et al.. (2007). FRA-1 protein overexpression is a feature of hyperplastic and neoplastic breast disorders. BMC Cancer. 7(1). 17–17. 44 indexed citations
9.
Chiappetta, Gennaro, Carmela De Marco, Daniela Califano, et al.. (2007). Overexpression of the S-phase kinase-associated protein 2 in thyroid cancer. Endocrine Related Cancer. 14(2). 405–420. 31 indexed citations
10.
Vitagliano, Donata, Giuseppe Portella, Giancarlo Troncone, et al.. (2006). Thyroid targeting of the N-ras(Gln61Lys) oncogene in transgenic mice results in follicular tumors that progress to poorly differentiated carcinomas. Oncogene. 25(39). 5467–5474. 58 indexed citations
11.
Chiappetta, Gennaro, Massimo Ammirante, Anna Basile, et al.. (2006). The Antiapoptotic Protein BAG3 Is Expressed in Thyroid Carcinomas and Modulates Apoptosis Mediated by Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand. The Journal of Clinical Endocrinology & Metabolism. 92(3). 1159–1163. 88 indexed citations
12.
Chiappetta, Gennaro, Gerardo Botti, Mario Monaco, et al.. (2004). HMGA1 Protein Overexpression in Human Breast Carcinomas. Clinical Cancer Research. 10(22). 7637–7644. 56 indexed citations
13.
Chiappetta, Gennaro, Francesca Pentimalli, Mario Monaco, et al.. (2004). Thymosin β-10 gene expression as a possible tool in diagnosis of thyroid neoplasias. Oncology Reports. 12(2). 239–43. 13 indexed citations
14.
Autiero, Monica, Alessandra Camarca, Marina Ciullo, et al.. (2002). Intragenic amplification and formation of extrachromosomal small circular DNA molecules from the PIP gene on chromosome 7 in primary breast carcinomas. International Journal of Cancer. 99(3). 370–377. 17 indexed citations
15.
D’Apice, Luciana, Piergiuseppe De Berardinis, Rosa Pasquinelli, et al.. (2000). Identification of a new subset of cells exhibiting dendritic phenotypes in patients affected by breast proliferative disorders. Human Immunology. 61(8). 739–752. 2 indexed citations
16.
Pasquinelli, Rosa, Pasquale Barba, Immacolata Capasso, et al.. (1999). Circulating antibodies against the breast tumor marker GCDFP-15/gp17 in mammary carcinoma patients and in patients carrying benign breast conditions. International Journal of Cancer. 84(6). 568–572. 8 indexed citations
17.
Ombra, Maria Neve, Monica Autiero, Rosa Pasquinelli, et al.. (1993). Reversion of a transcriptionally defective MHC class II-negative human B-cell mutant. Nucleic Acids Research. 21(3). 381–386. 1 indexed citations
18.
Romano, Marta, et al.. (1985). Polyamines and Nucleic Acids in Gestational Trophoblastic Tumors. Tumori Journal. 71(1). 35–38. 1 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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