Francesca Varrone

690 total citations
9 papers, 553 citations indexed

About

Francesca Varrone is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Francesca Varrone has authored 9 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Francesca Varrone's work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers) and Immunotherapy and Immune Responses (2 papers). Francesca Varrone is often cited by papers focused on MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers) and Immunotherapy and Immune Responses (2 papers). Francesca Varrone collaborates with scholars based in Italy, United States and Russia. Francesca Varrone's co-authors include Gianluigi Condorelli, Daniele Catalucci, Emilia Caputo, Leonardo Elia, Laura De Marinis, Andrea Frustaci, Manuela Quintavalle, Cristina Chimenti, Vincenzo Cimino and Matteo Antonio Russo and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Cancer Research.

In The Last Decade

Francesca Varrone

9 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Varrone Italy 7 440 300 58 54 48 9 553
Nadiya Khyzha Canada 10 357 0.8× 188 0.6× 49 0.8× 24 0.4× 20 0.4× 14 492
Haidong Wu China 11 425 1.0× 345 1.1× 19 0.3× 66 1.2× 27 0.6× 23 601
Xiao Albert Zhou China 8 366 0.8× 242 0.8× 22 0.4× 82 1.5× 22 0.5× 14 512
Xiangsheng Yang China 14 345 0.8× 146 0.5× 118 2.0× 51 0.9× 18 0.4× 25 526
Weijie Dong China 9 294 0.7× 126 0.4× 34 0.6× 32 0.6× 17 0.4× 12 451
Guan‐Sheng Liu United States 8 417 0.9× 198 0.7× 155 2.7× 17 0.3× 35 0.7× 10 501
Dorothee Hartmann Germany 9 321 0.7× 237 0.8× 47 0.8× 20 0.4× 26 0.5× 14 473
Jared M. McLendon United States 11 367 0.8× 217 0.7× 54 0.9× 19 0.4× 49 1.0× 27 554
Dazhi Wang United States 6 631 1.4× 449 1.5× 157 2.7× 20 0.4× 40 0.8× 11 772
Kristofferson Tandoc Canada 4 286 0.7× 138 0.5× 56 1.0× 26 0.5× 23 0.5× 5 399

Countries citing papers authored by Francesca Varrone

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Varrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Varrone

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

All Works

9 of 9 papers shown
1.
Angrisano, Tiziana, et al.. (2023). Cripto Is Targeted by miR-1a-3p in a Mouse Model of Heart Development. International Journal of Molecular Sciences. 24(15). 12251–12251. 2 indexed citations
2.
Varrone, Francesca, Luigi Mandrich, & Emilia Caputo. (2021). Melanoma Immunotherapy and Precision Medicine in the Era of Tumor Micro-Tissue Engineering: Where Are We Now and Where Are We Going?. Cancers. 13(22). 5788–5788. 3 indexed citations
3.
Varrone, Francesca & Emilia Caputo. (2020). The miRNAs Role in Melanoma and in Its Resistance to Therapy. International Journal of Molecular Sciences. 21(3). 878–878. 59 indexed citations
4.
D’Aniello, Cristina, Federica Cermola, Andrea Palamidessi, et al.. (2019). Collagen Prolyl Hydroxylation–Dependent Metabolic Perturbation Governs Epigenetic Remodeling and Mesenchymal Transition in Pluripotent and Cancer Cells. Cancer Research. 79(13). 3235–3250. 43 indexed citations
5.
Brancaccio, Mariarita, Antonella Di Costanzo, Francesco Scalabrì, et al.. (2019). 6-Bromoindirubin-3′-oxime intercepts GSK3 signaling to promote and enhance skeletal muscle differentiation affecting miR-206 expression in mice. Scientific Reports. 9(1). 18091–18091. 21 indexed citations
6.
Varrone, Francesca, Pierluigi Carullo, Dario Di Silvestre, et al.. (2012). The Circulating Level of FABP3 Is an Indirect Biomarker of MicroRNA-1. Journal of the American College of Cardiology. 61(1). 88–95. 50 indexed citations
7.
Elia, Leonardo, Riccardo Contu, Manuela Quintavalle, et al.. (2009). Reciprocal Regulation of MicroRNA-1 and Insulin-Like Growth Factor-1 Signal Transduction Cascade in Cardiac and Skeletal Muscle in Physiological and Pathological Conditions. Circulation. 120(23). 2377–2385. 330 indexed citations
8.
Amente, Stefano, Francesca Varrone, Luca Ruggiero, et al.. (2006). p14ARF directly interacts with Myc through the Myc BoxII domain. Cancer Biology & Therapy. 5(3). 287–291. 13 indexed citations
9.
Fraldi, Alessandro, Francesca Varrone, Giuliana Napolitano, et al.. (2005). Inhibition of Tat activity by the HEXIM1 protein. Retrovirology. 2(1). 42–42. 32 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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