Francesca Siepi

563 citations
12 papers · 480 · h-index 10

Impact in

Papers in

    • Cancer-related Molecular Pathways 7
    • Ubiquitin and proteasome pathways 3
    • Cancer-related gene regulation 2
    • Protein Degradation and Inhibitors 1

Francesca Siepi

11 papers receiving 473 citations

Peers

Francesca Siepi
Comparison fields: 5 of 59
  • Oncology 216
  • Aging 9
  • Molecular Biology 342
  • Immunology 93
  • Cancer Research 66
Replace Tahmineh Darvishi with:
Tahmineh Darvishi Germany
Sonia Brockway United States
Zongling Ji United Kingdom
Wilson W. Marhin Canada
Jörg Volkland Germany
Ekaterina Gresko Switzerland
Takeshi Terui Japan
Buyou Chen China
Hannah Brinkmann United Kingdom
Valeria Cambiaghi Italy
Francesca Siepi relative to Tahmineh Darvishi Germany Tahmineh Darvishi's profile →
Citations per field
00.5×10×20×26×
Tahmineh Darvishi · 1×
Citations per year

Countries citing papers authored by Francesca Siepi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Siepi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007104
2 200456
3 201249
4 200848
5 200548
6 201345
7 201143
8 200941
9 200730
10 200311
11 20175
12
Cell Cycle Reactivation in Skeletal Muscle and Other Terminally Differentiated Cells
20130

About Francesca Siepi

Francesca Siepi is a scholar working on Oncology, Molecular Biology, Immunology, Biotechnology and Hepatology, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Ubiquitin and proteasome pathways (3 papers), interferon and immune responses (2 papers), Cancer Research and Treatments (2 papers), Cancer-related gene regulation (2 papers), Pancreatic function and diabetes (1 paper), Protein Degradation and Inhibitors (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Oncology (216 citations), Aging (9 citations), Molecular Biology (342 citations), Immunology (93 citations) and Cancer Research (66 citations). Francesca Siepi has collaborated with scholars based in Italy, Sweden and Netherlands. Frequent co-authors include Silvia Soddu, Cinzia Rinaldo, Andrea Prodosmo, Marco Crescenzi, Ada Sacchi, Veronica Gatti, Serena Camerini, Alice Moncada, Camilla Bernardini and Ettore Meccia. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Oncogene, Cell Death and Differentiation, The Journal of Cell Biology and Biochemistry and Cell Biology.

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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