Francesca Lessi

1.3k citations
60 papers · 897 · h-index 20

Impact in

Papers in

Francesca Lessi

56 papers receiving 889 citations

Peers

Francesca Lessi
Comparison fields: 5 of 88
  • Cancer Research 146
  • Endocrinology, Diabetes and Metabolism 135
  • Genetics 63
  • Oncology 143
  • Molecular Biology 289
Replace Geeta Upadhyay with:
Geeta Upadhyay United States
Andreas Herrlich United States
Lamis Yehia United States
Karl Worm Germany
Nicolas Gadot France
Mary B. Breslin United States
Allison C. Sharrow United States
Janice D. Rone United States
Patrick Y. Jay United States
Dominique Higgins United States
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Citations per field
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Geeta Upadhyay · 1×
Citations per year

Countries citing papers authored by Francesca Lessi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Lessi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Lessi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Lessi Line = papers co-authored together Francesca Lessi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200958
2 201755
3 201544
4 201941
5 201141
6 201739
7 201538
8 201134
9 200733
10 201630
11 201030
12 201823
13 201223
14 201423
15 201822
16 201522
17 201922
18 201921
19 201920
20 202119

About Francesca Lessi

Francesca Lessi is a scholar working on Cancer Research, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 60 papers that have together received 897 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (11 papers), Virus-based gene therapy research (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (4 papers), MicroRNA in disease regulation (4 papers) and Veterinary Oncology Research (3 papers). The work is most often cited by research in Cancer Research (146 citations), Endocrinology, Diabetes and Metabolism (135 citations), Genetics (63 citations), Oncology (143 citations) and Molecular Biology (289 citations). Francesca Lessi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Chiara Maria Mazzanti, Paolo Aretini, Sara Franceschi, Generoso Bevilacqua, Antonio Giuseppe Naccarato, Michele Menicagli, Ivo Marchetti, G. Di Coscio, Cristian Scatena and Katia Zavaglia. Their work appears in journals such as Oncotarget, Neuro-Oncology, PLoS ONE, Journal of Translational Medicine and International Journal of Molecular Sciences.

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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