Francesca Guidetti

51 total papers · 777 total citations
12 papers, 62 citations indexed

About

Francesca Guidetti is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Francesca Guidetti has authored 12 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 4 papers in Genetics. Recurrent topics in Francesca Guidetti's work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer-related molecular mechanisms research (3 papers). Francesca Guidetti is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer-related molecular mechanisms research (3 papers). Francesca Guidetti collaborates with scholars based in Switzerland, Italy and United States. Francesca Guidetti's co-authors include Luca Bergamasco, E. Bartoli, Francesco Bertoni, Sara Napoli, Pier Paolo Sainaghi, Ettore Bartoli, Luigi Mario Castello, Reinhard von Roemeling, Clara Deambrogi and Giuseppe Saglio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cancer Therapeutics and Nephrology Dialysis Transplantation.

In The Last Decade

Francesca Guidetti

11 papers receiving 60 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 Guidetti 22 20 14 13 12 12 62
Emmanouil P. Vardas 54 2.5× 13 0.7× 4 0.3× 9 0.7× 16 1.3× 11 226
Delphine Bacq‐Daian 40 1.8× 10 0.5× 7 0.5× 11 0.8× 18 1.5× 9 98
Seonggon Kim 38 1.7× 10 0.5× 4 0.3× 5 0.4× 11 0.9× 8 61
Peiyu Liang 56 2.5× 12 0.6× 7 0.5× 6 0.5× 23 1.9× 12 103
Charalambos Koumaras 16 0.7× 21 1.1× 8 0.6× 17 1.3× 11 0.9× 11 217
Megan N. Landis 19 0.9× 12 0.6× 24 1.7× 24 1.8× 8 0.7× 11 238
Maria Di Marco 42 1.9× 25 1.3× 5 0.4× 9 0.7× 64 5.3× 13 216
Yu Chen 51 2.3× 16 0.8× 5 0.4× 4 0.3× 30 2.5× 20 215
Karen Keung 32 1.5× 32 1.6× 59 4.2× 7 0.5× 10 0.8× 14 218
Markus C. Fleisch 35 1.6× 38 1.9× 28 2.0× 8 0.6× 18 1.5× 9 233

Countries citing papers authored by Francesca Guidetti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Guidetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Guidetti

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Guidetti. A scholar is included among the top collaborators of Francesca Guidetti 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 Guidetti. Francesca Guidetti 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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