Sandro Sonnino
- Molecular Biology top 0.5%
- Physiology top 0.5%
- Cell Biology top 0.2%
- Organic Chemistry top 1%
- Immunology top 1%
- Co-authors
- Alessandro PrinettiGuido TettamantiVanna ChigornoRiccardo GhidoniLaura MauriNicoletta LobertoDomenico AcquottiSimona Prioni
- Topics
- Glycosylation and Glycoproteins Research (179 papers)Lipid Membrane Structure and Behavior (90 papers)Sphingolipid Metabolism and Signaling (75 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Sandro Sonnino
304 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 9.3k
- Physiology 3.2k
- Cell Biology 3.1k
- Organic Chemistry 1.6k
- Immunology 1.6k
Countries citing papers authored by Sandro Sonnino
This map shows the geographic impact of Sandro Sonnino'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 Sandro Sonnino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Sonnino more than expected).
Fields of papers citing papers by Sandro Sonnino
This network shows the impact of papers produced by Sandro Sonnino. 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 Sandro Sonnino. The network helps show where Sandro Sonnino may publish in the future.
Co-authorship network of co-authors of Sandro Sonnino
This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Sonnino. A scholar is included among the top collaborators of Sandro Sonnino 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 Sandro Sonnino. Sandro Sonnino 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 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 22 | |
| 8 | Liposomes functionalized with GT1b ganglioside with high affinity for amyloid beta-peptide | 1 |
| 9 | 42 | |
| 10 | 10 | |
| 11 | 46 | |
| 12 | 24 | |
| 13 | 18 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 24 | |
| 17 | 41 | |
| 18 | 78 | |
| 19 | 13 | |
| 20 | Metabolism of exogenous gm 1 ganglioside in rat brain | 3 |
About Sandro Sonnino
Sandro Sonnino is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 308 papers that have together received 12.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (179 papers), Lipid Membrane Structure and Behavior (90 papers) and Sphingolipid Metabolism and Signaling (75 papers). The work is most often cited by research in Cell Biology (3.1k citations), Molecular Biology (9.3k citations) and Physiology (3.2k citations). Sandro Sonnino has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Alessandro Prinetti, Guido Tettamanti, Vanna Chigorno, Riccardo Ghidoni, Laura Mauri, Nicoletta Loberto, Domenico Acquotti, Simona Prioni, Massimo Aureli and Massimo Masserini. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.