Angelo Toto
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Cell Biology top 10%
Papers in
-
- Protein Structure and Dynamics 36
- Protein Kinase Regulation and GTPase Signaling 13
- Protein Tyrosine Phosphatases 13
- RNA and protein synthesis mechanisms 9
- Glycosylation and Glycoproteins Research 6
- Cell Biology 15
- Hemoglobin structure and function 5
- Co-authors
- Stefano GianniMaurizio BrunoriFrancesca MalagrinòRajanish GiriLivia PaganoFrancesca TroiloAngela MorroneDaniela Bonetti
- Journals
- International Journal of Molecular Sciences (10 papers)Protein Science (8 papers)Scientific Reports (7 papers)Journal of Biological Chemistry (4 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Angelo Toto
66 papers receiving 938 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 764
- Cell Biology 127
- Materials Chemistry 265
- Immunology 90
- Infectious Diseases 68
Countries citing papers authored by Angelo Toto
This map shows the geographic impact of Angelo Toto'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 Angelo Toto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Toto more than expected).
Fields of papers citing papers by Angelo Toto
This network shows the impact of papers produced by Angelo Toto. 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 Angelo Toto. The network helps show where Angelo Toto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Angelo Toto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 6 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 10 | |
| 17 | 2016 | 13 | |
| 18 | 2015 | 3 | |
| 19 | 2013 | 90 | |
| 20 | 1996 | 19 |
About Angelo Toto
Angelo Toto is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Biochemistry and Endocrinology, having authored 70 papers that have together received 942 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (36 papers), Enzyme Structure and Function (21 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Protein Tyrosine Phosphatases (13 papers), RNA and protein synthesis mechanisms (9 papers), Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (6 papers) and Hemoglobin structure and function (5 papers). The work is most often cited by research in Molecular Biology (764 citations), Cell Biology (127 citations), Materials Chemistry (265 citations), Immunology (90 citations) and Infectious Diseases (68 citations). Angelo Toto has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Stefano Gianni, Maurizio Brunori, Francesca Malagrinò, Rajanish Giri, Livia Pagano, Francesca Troilo, Angela Morrone, Daniela Bonetti, Carlo Camilloni and Michele Vendruscolo. Their work appears in journals such as International Journal of Molecular Sciences, Protein Science, Scientific Reports, Journal of Biological Chemistry and Journal of Molecular Biology.
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.