Simona Caporali

1.1k total citations
32 papers, 966 citations indexed

About

Simona Caporali is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Simona Caporali has authored 32 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Simona Caporali's work include Melanoma and MAPK Pathways (11 papers), Estrogen and related hormone effects (6 papers) and DNA Repair Mechanisms (4 papers). Simona Caporali is often cited by papers focused on Melanoma and MAPK Pathways (11 papers), Estrogen and related hormone effects (6 papers) and DNA Repair Mechanisms (4 papers). Simona Caporali collaborates with scholars based in Italy, United States and Switzerland. Simona Caporali's co-authors include Stefania D’Atri, Enzo Bonmassar, Lauretta Levati, Ester Alvino, Giuseppe Starace, Pedro Miguel Lacal, Alessandro Weisz, Gian Carlo Antonini Cappellini, Josef Jiricny and Sabrina Falcinelli and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Oncogene.

In The Last Decade

Simona Caporali

32 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simona Caporali Italy 20 637 331 233 177 110 32 966
Heng-Yuan Tang United States 19 560 0.9× 272 0.8× 170 0.7× 131 0.7× 73 0.7× 24 1.2k
Szabolcs Fátrai Netherlands 17 850 1.3× 245 0.7× 210 0.9× 274 1.5× 59 0.5× 25 1.5k
Diane H. Song United States 12 767 1.2× 238 0.7× 117 0.5× 89 0.5× 72 0.7× 14 1.1k
Yoshiaki Onodera Japan 23 772 1.2× 285 0.9× 260 1.1× 201 1.1× 58 0.5× 57 1.3k
Dennis Sohn Germany 16 739 1.2× 344 1.0× 160 0.7× 56 0.3× 51 0.5× 24 1.1k
Atsushi Sato Japan 19 780 1.2× 230 0.7× 195 0.8× 104 0.6× 78 0.7× 44 1.1k
Daniel L. Altschuler United States 22 1.0k 1.6× 294 0.9× 115 0.5× 181 1.0× 104 0.9× 35 1.6k
Xiaohong Xia China 20 904 1.4× 316 1.0× 192 0.8× 117 0.7× 37 0.3× 45 1.3k
Joana Couto Portugal 12 439 0.7× 454 1.4× 188 0.8× 110 0.6× 65 0.6× 26 959
J.P. Peyrat France 15 511 0.8× 344 1.0× 218 0.9× 207 1.2× 72 0.7× 30 970

Countries citing papers authored by Simona Caporali

Since Specialization
Citations

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

Fields of papers citing papers by Simona Caporali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Caporali

This figure shows the co-authorship network connecting the top 25 collaborators of Simona Caporali. A scholar is included among the top collaborators of Simona Caporali 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 Simona Caporali. Simona Caporali 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.
Levati, Lauretta, Claudio Tabolacci, Antonio Facchiano, et al.. (2024). Circulating interleukin-8 and osteopontin are promising biomarkers of clinical outcomes in advanced melanoma patients treated with targeted therapy. Journal of Experimental & Clinical Cancer Research. 43(1). 226–226. 3 indexed citations
2.
Ruffini, Federica, Claudia Ceci, Maria Grazia Atzori, et al.. (2023). Targeting of PDGF-C/NRP-1 autocrine loop as a new strategy for counteracting the invasiveness of melanoma resistant to braf inhibitors. Pharmacological Research. 192. 106782–106782. 5 indexed citations
3.
Levati, Lauretta, Cristian Bassi, Simona Mastroeni, et al.. (2022). Circulating miR-1246 and miR-485-3p as Promising Biomarkers of Clinical Response and Outcome in Melanoma Patients Treated with Targeted Therapy. Cancers. 14(15). 3706–3706. 7 indexed citations
4.
Caporali, Simona, Adriana Amaro, Lauretta Levati, et al.. (2019). miR-126-3p down-regulation contributes to dabrafenib acquired resistance in melanoma by up-regulating ADAM9 and VEGF-A. Journal of Experimental & Clinical Cancer Research. 38(1). 272–272. 69 indexed citations
5.
Caporali, Simona, Lauretta Levati, Ester Alvino, et al.. (2018). Abstract 474: Alterations of micro-RNAs are associated with melanoma resistance to BRAF inhibitors: Role of miR-126. Cancer Research. 78(13_Supplement). 474–474. 1 indexed citations
6.
Ruffini, Federica, Lauretta Levati, Grazia Graziani, et al.. (2017). Platelet-derived growth factor-C promotes human melanoma aggressiveness through activation of neuropilin-1. Oncotarget. 8(40). 66833–66848. 19 indexed citations
7.
Cesarini, Valeriana, Federica Todaro, Silvia Di Agostino, et al.. (2017). Sox2 is not required for melanomagenesis, melanoma growth and melanoma metastasis in vivo. Oncogene. 36(31). 4508–4515. 19 indexed citations
8.
Caporali, Simona, Ester Alvino, Pedro Miguel Lacal, et al.. (2016). Targeting the PI3K/AKT/mTOR pathway overcomes the stimulating effect of dabrafenib on the invasive behavior of melanoma cells with acquired resistance to the BRAF inhibitor. International Journal of Oncology. 49(3). 1164–1174. 56 indexed citations
10.
Cioccoloni, Giorgia, Laura Bonmassar, Elena Pagani, et al.. (2015). Influence of fatty acid synthase inhibitor orlistat on the DNA repair enzyme O6-methylguanine-DNA methyltransferase in human normal or malignant cells in vitro. International Journal of Oncology. 47(2). 764–772. 10 indexed citations
11.
Caporali, Simona, Lauretta Levati, Grazia Graziani, et al.. (2012). NF-κB is activated in response to temozolomide in an AKT-dependent manner and confers protection against the growth suppressive effect of the drug. Journal of Translational Medicine. 10(1). 252–252. 33 indexed citations
12.
Caporali, Simona, Ester Alvino, Lauretta Levati, et al.. (2012). Down-regulation of the PTTG1 proto-oncogene contributes to the melanoma suppressive effects of the cyclin-dependent kinase inhibitor PHA-848125. Biochemical Pharmacology. 84(5). 598–611. 24 indexed citations
14.
Yang, Ji‐Chun, Jason L. Parsons, Nils H. Nicolay, et al.. (2009). Cells deficient in the base excision repair protein, DNA polymerase beta, are hypersensitive to oxaliplatin chemotherapy. Oncogene. 29(3). 463–468. 51 indexed citations
17.
Caporali, Simona, Sabrina Falcinelli, Giuseppe Starace, et al.. (2004). DNA Damage Induced by Temozolomide Signals to both ATM and ATR: Role of the Mismatch Repair System. Molecular Pharmacology. 66(3). 478–491. 103 indexed citations
18.
Caporali, Simona, Manami Imai, Lucia Altucci, et al.. (2003). Distinct Signaling Pathways Mediate Stimulation of Cell Cycle Progression and Prevention of Apoptotic Cell Death by Estrogen in Rat Pituitary Tumor PR1 Cells. Molecular Biology of the Cell. 14(12). 5051–5059. 15 indexed citations
19.
Marino, Maria, et al.. (2001). β‐estradiol stimulation of DNA synthesis requires different PKC isoforms in HepG2 and MCF7 cells. Journal of Cellular Physiology. 188(2). 170–177. 35 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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