Andrea Franceschini

12 total papers · 19.7k total citations
11 papers, 14.7k citations indexed

About

Andrea Franceschini is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Andrea Franceschini has authored 11 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Immunology. Recurrent topics in Andrea Franceschini's work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Andrea Franceschini is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Andrea Franceschini collaborates with scholars based in Switzerland, Denmark and Italy. Andrea Franceschini's co-authors include Christian von Mering, Lars Juhl Jensen, Peer Bork, Michael Kuhn, Damian Szklarczyk, Milan Simonovic, Alexander Röth, Jaime Huerta‐Cepas, Kalliopi P. Tsafou and Stefan Wyder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Andrea Franceschini

10 papers receiving 14.5k citations

Hit Papers

STRING v10: protein–prote... 2010 2026 2015 2020 2014 2012 2010 2.5k 5.0k 7.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Franceschini 9.8k 2.2k 1.6k 1.4k 1.4k 11 14.7k
Alexander Junge 7.2k 0.7× 1.9k 0.9× 1.6k 1.0× 1.4k 1.0× 965 0.7× 11 11.9k
Alberto Santos 10.2k 1.0× 2.8k 1.3× 1.8k 1.1× 1.5k 1.1× 1.4k 1.0× 30 16.2k
Tanya Barrett 9.9k 1.0× 3.0k 1.3× 1.9k 1.2× 1.4k 1.0× 1.3k 0.9× 24 13.7k
Mao Tanabe 12.8k 1.3× 2.5k 1.1× 1.4k 0.9× 1.5k 1.1× 1.7k 1.2× 31 19.5k
Annika L. Gable 12.3k 1.3× 3.3k 1.5× 2.8k 1.7× 2.4k 1.7× 1.7k 1.3× 8 20.5k
Ron Edgar 8.7k 0.9× 2.0k 0.9× 1.0k 0.6× 1.3k 0.9× 1.4k 1.1× 24 13.2k
Miho Furumichi 16.6k 1.7× 3.4k 1.5× 2.0k 1.2× 2.1k 1.5× 2.3k 1.7× 11 25.7k
Davide Heller 7.6k 0.8× 1.4k 0.6× 977 0.6× 997 0.7× 1.1k 0.8× 6 12.2k
Irene F. Kim 7.1k 0.7× 2.2k 1.0× 1.4k 0.9× 1.1k 0.8× 929 0.7× 8 10.0k
Pierre Ledoux 7.1k 0.7× 2.3k 1.0× 1.4k 0.9× 1.1k 0.8× 900 0.7× 9 10.0k

Countries citing papers authored by Andrea Franceschini

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Franceschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Franceschini

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Franceschini. A scholar is included among the top collaborators of Andrea Franceschini 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 Andrea Franceschini. Andrea Franceschini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026