Marilisa Cargnelutti

775 total citations
10 papers, 521 citations indexed

About

Marilisa Cargnelutti is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Marilisa Cargnelutti has authored 10 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Marilisa Cargnelutti's work include MicroRNA in disease regulation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Mesenchymal stem cell research (2 papers). Marilisa Cargnelutti is often cited by papers focused on MicroRNA in disease regulation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Mesenchymal stem cell research (2 papers). Marilisa Cargnelutti collaborates with scholars based in Italy, United States and France. Marilisa Cargnelutti's co-authors include Alessandro D. Santin, Sërgio Pecorelli, Emiliano Cocco, Stefania Bellone, Thomas Rutherford, Masoud Azodi, Peter E. Schwartz, Karim ElSahwi, Natália Buza and Fattaneh A. Tavassoli and has published in prestigious journals such as Cancer, Oncogene and Journal of Virology.

In The Last Decade

Marilisa Cargnelutti

10 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marilisa Cargnelutti Italy 9 270 221 132 100 95 10 521
Brigida Anna Maiorano Italy 15 125 0.5× 343 1.6× 67 0.5× 125 1.3× 145 1.5× 58 531
Dilu Feng China 14 370 1.4× 180 0.8× 219 1.7× 80 0.8× 99 1.0× 26 649
Deepti P. Wilks United Kingdom 8 303 1.1× 149 0.7× 129 1.0× 76 0.8× 25 0.3× 11 499
Masayuki Ohno Japan 11 264 1.0× 256 1.2× 74 0.6× 47 0.5× 40 0.4× 18 508
Sterre T. Paijens Netherlands 7 168 0.6× 440 2.0× 120 0.9× 145 1.4× 319 3.4× 12 709
L. Moretti Belgium 9 148 0.5× 144 0.7× 38 0.3× 54 0.5× 57 0.6× 23 457
Jun Kang South Korea 15 198 0.7× 243 1.1× 124 0.9× 160 1.6× 51 0.5× 52 550
Adriaan Vanderstichele Belgium 14 288 1.1× 300 1.4× 327 2.5× 122 1.2× 93 1.0× 29 752
Marta Cañamero Spain 10 179 0.7× 164 0.7× 70 0.5× 56 0.6× 86 0.9× 21 410

Countries citing papers authored by Marilisa Cargnelutti

Since Specialization
Citations

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

Fields of papers citing papers by Marilisa Cargnelutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilisa Cargnelutti

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

All Works

10 of 10 papers shown
1.
Apicella, Maria, Cristina Migliore, Tânia Capelôa, et al.. (2016). Dual MET/EGFR therapy leads to complete response and resistance prevention in a MET-amplified gastroesophageal xenopatient cohort. Oncogene. 36(9). 1200–1210. 18 indexed citations
2.
Stassi, Giorgio, Adriana Cordova, Matilde Todaro, et al.. (2014). By promoting cell differentiation, miR-100 sensitizes basal-like breast cancer stem cells to hormonal therapy. OncoTargets and Therapy. 1 indexed citations
3.
Cargnelutti, Marilisa, Simona Corso, Laurence Mévellec, et al.. (2014). Activation of RAS family members confers resistance to ROS1 targeting drugs. Oncotarget. 6(7). 5182–5194. 65 indexed citations
4.
Petrelli, Annalisa, Marilisa Cargnelutti, Flora Iovino, et al.. (2014). By promoting cell differentiation, miR-100 sensitizes basal-like breast cancer stem cells to hormonal therapy. Oncotarget. 6(4). 2315–2330. 40 indexed citations
5.
Petrelli, Annalisa, Andrea Perra, Katharina Schernhuber, et al.. (2012). Sequential analysis of multistage hepatocarcinogenesis reveals that miR-100 and PLK1 dysregulation is an early event maintained along tumor progression. Oncogene. 31(42). 4517–4526. 65 indexed citations
6.
Cocco, Emiliano, Stefania Bellone, Karim ElSahwi, et al.. (2009). Serum amyloid A. Cancer. 116(4). 843–851. 85 indexed citations
7.
ElSahwi, Karim, Stefania Bellone, Emiliano Cocco, et al.. (2009). In vitro activity of pertuzumab in combination with trastuzumab in uterine serous papillary adenocarcinoma. British Journal of Cancer. 102(1). 134–143. 85 indexed citations
8.
Cocco, Emiliano, Stefania Bellone, Karim ElSahwi, et al.. (2009). Serum amyloid A (SAA): a novel biomarker for uterine serous papillary cancer. British Journal of Cancer. 101(2). 335–341. 40 indexed citations
9.
Bellone, Stefania, Eric R. Siegel, Emiliano Cocco, et al.. (2009). Overexpression of Epithelial Cell Adhesion Molecule in Primary, Metastatic, and Recurrent/Chemotherapy-Resistant Epithelial Ovarian Cancer. International Journal of Gynecological Cancer. 19(5). 860–866. 78 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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