Andrea Franceschini
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Immunology top 2%
- Genetics top 1%
- Co-authors
- Christian von MeringLars Juhl JensenPeer BorkDamian SzklarczykMichael KuhnMilan SimonovicAlexander RöthDavide Heller
- Topics
- Bioinformatics and Genomic Networks (7 papers)Machine Learning in Bioinformatics (3 papers)Biomedical Text Mining and Ontologies (2 papers)
- Partner nations
- SwitzerlandDenmarkItaly
In The Last Decade
Andrea Franceschini
10 papers receiving 14.6k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 9.8k
- Cancer Research 2.2k
- Pulmonary and Respiratory Medicine 1.6k
- Immunology 1.4k
- Genetics 1.4k
Countries citing papers authored by Andrea Franceschini
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 90 | |
| 4 | STRING v10: protein–protein interaction networks, integrated over the tree of lifebreakdown → | 7783 |
| 5 | 43 | |
| 6 | 58 | |
| 7 | STRING v9.1: protein-protein interaction networks, with increased coverage and integrationbreakdown → | 3505 |
| 8 | 224 | |
| 9 | The STRING database in 2011: functional interaction networks of proteins, globally integrated and scoredbreakdown → | 2796 |
| 10 | 208 | |
| 11 | 3 |
About Andrea Franceschini
Andrea Franceschini is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology, having authored 11 papers that have together received 14.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Cancer Research (2.2k citations), Molecular Biology (9.8k citations) and Computational Theory and Mathematics (1.1k citations). Andrea Franceschini has collaborated with scholars based in Switzerland, Denmark and Italy. Frequent co-authors include Christian von Mering, Lars Juhl Jensen, Peer Bork, Damian Szklarczyk, Michael Kuhn, Milan Simonovic, Alexander Röth, Davide Heller, Stefan Wyder and Kalliopi P. Tsafou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.
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.