Francesco Pasqualetti

2.9k citations
110 papers · 1.6k · h-index 22

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

    • Glioma Diagnosis and Treatment 45
    • Cancer Genomics and Diagnostics 7
    • MicroRNA in disease regulation 7
    • Cancer, Hypoxia, and Metabolism 7

Francesco Pasqualetti

102 papers receiving 1.6k citations

Peers

Francesco Pasqualetti
Comparison fields: 5 of 101
  • Genetics 610
  • Cancer Research 242
  • Pulmonary and Respiratory Medicine 337
  • Oncology 260
  • Radiation 85
Replace Valérie Panet-Raymond with:
Valérie Panet-Raymond Canada
Laëtitia Padovani France
Jean‐Sébastien Guillamo France
Jason K. Rockhill United States
Franziska Eckert Germany
W.J. Curran United States
Hirohito Yano Japan
Anne Laprie France
Siham Sabri Canada
Benoît Lhermitte France
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Citations per field
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Citations per year

Countries citing papers authored by Francesco Pasqualetti

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Pasqualetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesco Pasqualetti, 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 Francesco Pasqualetti Line = papers co-authored together Francesco Pasqualetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018270
2 201670
3 201767
4 201658
5 201357
6 202155
7 202050
8 200648
9 201645
10 202143
11 201541
12 201941
13 201831
14 201430
15
Cyclin A and E2F1 overexpression correlate with reduced disease-free survival in node-negative breast cancer patients.
200729
16 201829
17 202126
18 202025
19 200825
20 201823

About Francesco Pasqualetti

Francesco Pasqualetti is a scholar working on Genetics, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 110 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (45 papers), Brain Metastases and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Meningioma and schwannoma management (8 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Genomics and Diagnostics (7 papers), MicroRNA in disease regulation (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Genetics (610 citations), Cancer Research (242 citations), Pulmonary and Respiratory Medicine (337 citations), Oncology (260 citations) and Radiation (85 citations). Francesco Pasqualetti has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Fabiola Paiar, D. Delishaj, Maria Grazia Fabrini, Stefano Ursino, Riccardo Morganti, Giuseppe Lombardi, Antonio Giuseppe Naccarato, Paolo Perrini, Riccardo Soffietti and Roberta Rudà. Their work appears in journals such as Anticancer Research, Journal of Clinical Oncology, Cancers, Journal of Neuro-Oncology and Neuro-Oncology.

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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