Angelo Toto

1.3k total citations
70 papers, 942 citations indexed

About

Angelo Toto is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Angelo Toto has authored 70 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 21 papers in Materials Chemistry and 15 papers in Cell Biology. Recurrent topics in Angelo Toto's work include Protein Structure and Dynamics (36 papers), Enzyme Structure and Function (21 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). Angelo Toto is often cited by papers focused on Protein Structure and Dynamics (36 papers), Enzyme Structure and Function (21 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). Angelo Toto collaborates with scholars based in Italy, United Kingdom and France. Angelo Toto's co-authors include Stefano Gianni, Maurizio Brunori, Francesca Malagrinò, Rajanish Giri, Livia Pagano, Francesca Troilo, Angela Morrone, Daniela Bonetti, Carlo Camilloni and Michele Vendruscolo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Angelo Toto

66 papers receiving 938 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Angelo Toto Italy 17 764 265 127 90 89 70 942
Marta Carroni Sweden 19 872 1.1× 191 0.7× 183 1.4× 60 0.7× 123 1.4× 28 1.2k
Benoît H. Dessailly United Kingdom 16 1.0k 1.4× 233 0.9× 80 0.6× 79 0.9× 91 1.0× 18 1.2k
Rebecca F. Alford United States 6 990 1.3× 230 0.9× 54 0.4× 51 0.6× 82 0.9× 12 1.2k
Kausik Chakraborty India 19 810 1.1× 227 0.9× 188 1.5× 112 1.2× 100 1.1× 32 1.1k
Jon M. Steichen United States 13 739 1.0× 120 0.5× 107 0.8× 176 2.0× 49 0.6× 17 1.1k
Sarah Garrard United States 8 693 0.9× 165 0.6× 252 2.0× 96 1.1× 83 0.9× 9 998
Mainak Guharoy Belgium 18 1.0k 1.4× 227 0.9× 132 1.0× 48 0.5× 60 0.7× 26 1.2k
Benjamin T. Porebski Australia 19 769 1.0× 153 0.6× 47 0.4× 173 1.9× 122 1.4× 30 1.1k
Mark B. Mixon United States 11 721 0.9× 126 0.5× 165 1.3× 57 0.6× 87 1.0× 13 907
Irina Krykbaeva United States 8 1.3k 1.7× 127 0.5× 284 2.2× 160 1.8× 50 0.6× 12 1.5k

Countries citing papers authored by Angelo Toto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Angelo Toto

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

All Works

20 of 20 papers shown
1.
Ventura, E, et al.. (2025). Allosteric modulation of Grb2 drives ligand-dependent signal responses. Biology Direct. 20(1). 63–63.
2.
Maio, Flavio De, et al.. (2024). PDZ2-conjugated-PLGA nanoparticles are tiny heroes in the battle against SARS-CoV-2. Scientific Reports. 14(1). 13059–13059. 7 indexed citations
3.
Pagano, Livia, et al.. (2024). The binding selectivity of the C-terminal SH3 domain of Grb2, but not its folding pathway, is dictated by its contiguous SH2 domain. Journal of Biological Chemistry. 300(4). 107129–107129. 6 indexed citations
4.
Malagrinò, Francesca, et al.. (2024). GRB2: A dynamic adaptor protein orchestrating cellular signaling in health and disease. Biochemistry and Biophysics Reports. 39. 101803–101803. 4 indexed citations
5.
Pagano, Livia, et al.. (2023). Biophysical Characterization of the Binding Mechanism between the MATH Domain of SPOP and Its Physiological Partners. International Journal of Molecular Sciences. 24(12). 10138–10138. 4 indexed citations
6.
Nalli, Marianna, Giuseppe La Regina, Angelo Toto, et al.. (2023). Targeting the Grb2 cSH3 domain: Design, synthesis and biological evaluation of the first series of modulators. Bioorganic Chemistry. 138. 106607–106607. 3 indexed citations
7.
Pagano, Livia, et al.. (2023). An intramolecular energetic network regulates ligand recognition in a SH2 domain. Protein Science. 32(8). e4729–e4729. 6 indexed citations
8.
Marcocci, Lucia, et al.. (2023). Understanding the molecular basis of folding cooperativity through a comparative analysis of a multidomain protein and its isolated domains. Journal of Biological Chemistry. 299(3). 102983–102983. 7 indexed citations
9.
Pagano, Livia, et al.. (2023). Characterization of the folding and binding properties of the PTB domain of FRS2 with phosphorylated and unphosphorylated ligands. Archives of Biochemistry and Biophysics. 745. 109703–109703. 1 indexed citations
10.
11.
Pagano, Livia, et al.. (2022). Exploring the effect of tethered domains on the folding of Grb2 protein. Archives of Biochemistry and Biophysics. 731. 109444–109444. 5 indexed citations
12.
Malagrinò, Francesca, et al.. (2021). Unveiling induced folding of intrinsically disordered proteins – Protein engineering, frustration and emerging themes. Current Opinion in Structural Biology. 72. 153–160. 20 indexed citations
13.
Gautier, C., Francesca Troilo, Florence Cordier, et al.. (2020). Hidden kinetic traps in multidomain folding highlight the presence of a misfolded but functionally competent intermediate. Proceedings of the National Academy of Sciences. 117(33). 19963–19969. 19 indexed citations
14.
Toto, Angelo, James A. Jarvis, Francesca Troilo, et al.. (2020). Demonstration of Binding Induced Structural Plasticity in a SH2 Domain. Frontiers in Molecular Biosciences. 7. 89–89. 6 indexed citations
15.
Malagrinò, Francesca, Francesca Troilo, Daniela Bonetti, Angelo Toto, & Stefano Gianni. (2019). Mapping the allosteric network within a SH3 domain. Scientific Reports. 9(1). 8279–8279. 17 indexed citations
16.
Poggetto, Edoardo Del, Angelo Toto, Francesco Malatesta, et al.. (2018). Stability of an aggregation-prone partially folded state of human profilin-1 correlates with aggregation propensity. Journal of Biological Chemistry. 293(26). 10303–10313. 10 indexed citations
17.
Toto, Angelo, et al.. (2016). Understanding the role of phosphorylation in the binding mechanism of a PDZ domain. Protein Engineering Design and Selection. 30(1). 1–5. 13 indexed citations
18.
Toto, Angelo, et al.. (2015). Understanding the effect of alternative splicing in the folding and function of the second PDZ from Protein Tyrosine Phosphatase-BL. Scientific Reports. 5(1). 9299–9299. 3 indexed citations
19.
Giri, Rajanish, Angela Morrone, Angelo Toto, Maurizio Brunori, & Stefano Gianni. (2013). Structure of the transition state for the binding of c-Myb and KIX highlights an unexpected order for a disordered system. Proceedings of the National Academy of Sciences. 110(37). 14942–14947. 90 indexed citations
20.
Cavallo, Maria Gisella, Francesco Dotta, L. Monetini, et al.. (1996). Beta-cell markers and autoantigen expression by a human insulinoma cell line: similarities to native beta cells. Journal of Endocrinology. 150(1). 113–120. 19 indexed citations

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.

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