Francesca Sacco

3.2k citations
44 papers · 2.1k indexed · 1 hit paper · h-index 18
Topics
Ubiquitin and proteasome pathways (9 papers)Protein Tyrosine Phosphatases (8 papers)Bioinformatics and Genomic Networks (8 papers)

In The Last Decade

Francesca Sacco

41 papers receiving 2.1k citations

Hit Papers

MINT, the molecular interaction database: 2012 update20112026201620212011250500750

Peers

Francesca Sacco
Comparison fields: 5 of 111
  • Molecular Biology 1.7k
  • Computational Theory and Mathematics 253
  • Spectroscopy 202
  • Cell Biology 188
  • Physiology 166
Replace Livia Perfetto with:
Livia Perfetto Italy
Luana Licata Italy
Genie Leung Canada
Thomas Jensen Denmark
Lara O’Donnell Canada
Irma Lemmens Belgium
Daniele Peluso Italy
Nurcan Tunçbağ Türkiye
Max Kotlyar Canada
Martina Kutmon Netherlands
Francesca Sacco relative to Livia Perfetto Italy Livia Perfetto's profile →
Citations per field
00.5×1.5×
Livia Perfetto · 1×
Citations per year

Countries citing papers authored by Francesca Sacco

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Sacco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Sacco

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Sacco. A scholar is included among the top collaborators of Francesca Sacco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesca Sacco. Francesca Sacco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 5
5 5
6 56
7 10
8 23
9 3
10 4
11 5
12 102
13 9
14 82
15 71
16 19
17 2
18 4
19
MINT, the molecular interaction database: 2012 updatebreakdown →
792
20
Le mythe de l'« avantage génétique» des sportifs africains
1

About Francesca Sacco

Francesca Sacco is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Protein Tyrosine Phosphatases (8 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Computational Theory and Mathematics (253 citations) and Spectroscopy (202 citations). Francesca Sacco has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Gianni Cesareni, Luisa Castagnoli, Livia Perfetto, Aurelio Pio Nardozza, Anita Palma, Daniele Peluso, Marta Iannuccelli, Elena Santonico, Luana Licata and Leonardo Briganti. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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