Francesca Lessi

1.3k citations
60 papers · 912 · h-index 20

Impact in

Papers in

Francesca Lessi

56 papers receiving 901 citations

Peers

Francesca Lessi
Comparison fields: 5 of 89
  • Cancer Research 148
  • Endocrinology, Diabetes and Metabolism 136
  • Genetics 63
  • Oncology 147
  • Molecular Biology 292
Replace Geeta Upadhyay with:
Geeta Upadhyay United States
Andreas Herrlich United States
Tadayuki Akagi Japan
Karl Worm Germany
Mary B. Breslin United States
Lamis Yehia United States
Jacob Kach United States
Sara Franceschi Italy
Katja Kiseljak‐Vassiliades United States
Saishu Yoshida Japan
Francesca Lessi relative to Geeta Upadhyay United States Geeta Upadhyay's profile →
Citations per field
00.5×1.5×2×2.3×
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 200959
2 201755
3 201546
4 201142
5 201941
6 201539
7 201739
8 200734
9 201134
10 201630
11 201030
12 201826
13 201823
14 201223
15 201423
16 201923
17 201922
18 201522
19 201921
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 912 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 (148 citations), Endocrinology, Diabetes and Metabolism (136 citations), Genetics (63 citations), Oncology (147 citations) and Molecular Biology (292 citations). Francesca Lessi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Chiara Maria Mazzanti, Paolo Aretini, Generoso Bevilacqua, Sara Franceschi, 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, Journal of Translational Medicine, PLoS ONE 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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