Francesco Ambrosetti
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Co-authors
- Alexandre M. J. J. BonvinLucy J. ColwellKonrad KrawczykSandeep KumarSebastian KelmRichard A. NormanBrian Jiménez‐GarcíaJorge Roel‐Touris
- Topics
- vaccines and immunoinformatics approaches (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingMolecular BiologyComputational Theory and Mathematics
- Partner nations
- NetherlandsItalyUnited Kingdom
In The Last Decade
Francesco Ambrosetti
9 papers receiving 398 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 328
- Radiology, Nuclear Medicine and Imaging 191
- Immunology 60
- Materials Chemistry 50
- Computational Theory and Mathematics 47
Countries citing papers authored by Francesco Ambrosetti
This map shows the geographic impact of Francesco Ambrosetti'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 Francesco Ambrosetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Ambrosetti more than expected).
Fields of papers citing papers by Francesco Ambrosetti
This network shows the impact of papers produced by Francesco Ambrosetti. 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 Francesco Ambrosetti. The network helps show where Francesco Ambrosetti may publish in the future.
Co-authorship network of co-authors of Francesco Ambrosetti
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Ambrosetti. A scholar is included among the top collaborators of Francesco Ambrosetti 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 Francesco Ambrosetti. Francesco Ambrosetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 76 | |
| 3 | 26 | |
| 4 | 1 | |
| 5 | 58 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 141 | |
| 9 | 78 |
About Francesco Ambrosetti
Francesco Ambrosetti is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Molecular Biology, having authored 9 papers that have together received 409 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (191 citations), Molecular Biology (328 citations) and Computational Theory and Mathematics (47 citations). Francesco Ambrosetti has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Alexandre M. J. J. Bonvin, Lucy J. Colwell, Konrad Krawczyk, Sandeep Kumar, Sebastian Kelm, Richard A. Norman, Brian Jiménez‐García, Jorge Roel‐Touris, Pier Paolo Olimpieri and Edoardo Milanetti. Their work appears in journals such as Nature Communications, Bioinformatics and Proteins Structure Function 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.