Francesca Scionti

76 total papers · 1.9k total citations
45 papers, 953 citations indexed

About

Francesca Scionti is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Francesca Scionti has authored 45 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Francesca Scionti's work include Multiple Myeloma Research and Treatments (9 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (6 papers). Francesca Scionti is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (6 papers). Francesca Scionti collaborates with scholars based in Italy, United States and Sweden. Francesca Scionti's co-authors include Maria Teresa Di Martino, Pierfrancesco Tassone, Mariamena Arbitrio, Daniele Caracciolo, Pierosandro Tagliaferri, Katia Grillone, Pietro Hiram Guzzi, Caterina Riillo, Pierosandro Tagliaferri and Licia Pensabene and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

In The Last Decade

Francesca Scionti

44 papers receiving 950 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francesca Scionti 630 324 186 135 101 45 953
Nifang Niu 724 1.1× 382 1.2× 205 1.1× 60 0.4× 170 1.7× 37 1.2k
Jay Mei 449 0.7× 139 0.4× 235 1.3× 202 1.5× 50 0.5× 45 806
Madan Lal Brahma Bhatt 559 0.9× 266 0.8× 262 1.4× 60 0.4× 58 0.6× 79 1.1k
Ming Poi 620 1.0× 145 0.4× 413 2.2× 94 0.7× 93 0.9× 64 1.2k
Pradeep S. Chauhan 355 0.6× 171 0.5× 155 0.8× 116 0.9× 73 0.7× 69 825
Simone Silberman 484 0.8× 303 0.9× 347 1.9× 137 1.0× 58 0.6× 41 1.2k
Shrihari S. Kadkol 597 0.9× 189 0.6× 371 2.0× 69 0.5× 78 0.8× 41 1.2k
L. Morasca 372 0.6× 111 0.3× 239 1.3× 101 0.7× 57 0.6× 63 849
Larry M. Weisenthal 462 0.7× 151 0.5× 413 2.2× 105 0.8× 34 0.3× 33 1.1k
Skipper He 447 0.7× 204 0.6× 512 2.8× 155 1.1× 42 0.4× 37 1.2k

Countries citing papers authored by Francesca Scionti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Scionti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Scionti

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

All Works

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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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