Francesca Beretti

3.2k citations
84 papers · 2.6k · h-index 29

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Genetic and phenotypic traits in livestock
    • Genomic variations and chromosomal abnormalities
    • melanin and skin pigmentation

Papers in

Francesca Beretti

84 papers receiving 2.5k citations

Peers

Francesca Beretti
Comparison fields: 5 of 128
  • Genetics 268
  • Cell Biology 431
  • Genetics 550
  • Dermatology 163
  • Animal Science and Zoology 171
Replace T. Neil Dear with:
T. Neil Dear United Kingdom
Linda D. Siracusa United States
Robert G. Vries Netherlands
Qian‐Chun Yu United States
Eva Marie Y. Moresco United States
David R. Raleigh United States
Ichiro Miyoshi Japan
Hyunggee Kim South Korea
Yumi Kanegae Japan
Virginia Godfrey United States
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Citations per field
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Citations per year

Countries citing papers authored by Francesca Beretti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Beretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011173
2 2009122
3 2019116
4 2010110
5 201099
6 201293
7 200883
8 200982
9 201381
10 200975
11 201074
12 201173
13 201370
14 200669
15 200857
16 201455
17 201355
18 201155
19 201854
20 200854

About Francesca Beretti

Francesca Beretti is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Immunology and Oncology, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include melanin and skin pigmentation (9 papers), Cytomegalovirus and herpesvirus research (8 papers), Mesenchymal stem cell research (7 papers), Extracellular vesicles in disease (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Cutaneous Melanoma Detection and Management (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Genetics (268 citations), Cell Biology (431 citations), Genetics (550 citations), Dermatology (163 citations) and Animal Science and Zoology (171 citations). Francesca Beretti has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Luca Fontanesi, Tullia Maraldi, Vincenzo Russo, Manuela Zavatti, Stefania Dall’Olio, Anto De Pol, Baldassare Portolano, Giovanni Pellacani, Caterina Longo and Anna Maria Cesinaro. Their work appears in journals such as International Journal of Molecular Sciences, Journal of the American Academy of Dermatology, Biomedicines, Journal of Medical Virology and Life 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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