Francesca Ferrelli

913 citations
8 papers · 664 · h-index 7

Impact in

Papers in

    • Signaling Pathways in Disease 1
    • Sphingolipid Metabolism and Signaling 1
    • Angiogenesis and VEGF in Cancer 1
    • Galectins and Cancer Biology 1
    • Atherosclerosis and Cardiovascular Diseases 1

Francesca Ferrelli

8 papers receiving 652 citations

Peers

Francesca Ferrelli
Comparison fields: 5 of 72
  • Immunology 180
  • Endocrinology, Diabetes and Metabolism 100
  • Clinical Biochemistry 40
  • Physiology 122
  • Molecular Biology 320
Replace Yasushi Kanazawa with:
Yasushi Kanazawa Japan
Pan Gao China
Wenyi Che United States
Simona‐Adriana Manea Romania
Claire Vinel France
Melissa E. Hatley United States
Kanako Izumi‐Nagai Japan
Marzia Schiavoni Italy
Young‐Keun Choi South Korea
Minh Deo Australia
Francesca Ferrelli relative to Yasushi Kanazawa Japan Yasushi Kanazawa's profile →
Citations per field
00.5×1.5×1.9×
Yasushi Kanazawa · 1×
Citations per year

Countries citing papers authored by Francesca Ferrelli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Ferrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2002289
2 2014117
3 201481
4 200161
5 201244
6 201140
7 201526
8 20156

About Francesca Ferrelli

Francesca Ferrelli is a scholar working on Molecular Biology, Immunology, Physiology, Surgery and Oncology, having authored 8 papers that have together received 664 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Signaling Pathways in Disease (1 paper), Nerve injury and regeneration (1 paper), Lymphatic System and Diseases (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Galectins and Cancer Biology (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology (180 citations), Endocrinology, Diabetes and Metabolism (100 citations), Clinical Biochemistry (40 citations), Physiology (122 citations) and Molecular Biology (320 citations). Francesca Ferrelli has collaborated with scholars based in Italy, United States and Taiwan. Frequent co-authors include Davide Lauro, Massimo Federici, Paolo Sbraccia, Marta Letizia Hribal, Rossella Menghini, Giorgio Sesti, Renato Lauro, Luigi Giusto Spagnoli, Alessandro Mauriello and Andrea Coppola. Their work appears in journals such as Diabetes, Cell Death and Disease, Diabetologia, OncoImmunology and Circulation.

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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