Alberto Cuzzolin

646 total citations
20 papers, 461 citations indexed

About

Alberto Cuzzolin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alberto Cuzzolin has authored 20 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alberto Cuzzolin's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (8 papers) and Receptor Mechanisms and Signaling (8 papers). Alberto Cuzzolin is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (8 papers) and Receptor Mechanisms and Signaling (8 papers). Alberto Cuzzolin collaborates with scholars based in Italy, United States and Argentina. Alberto Cuzzolin's co-authors include Stefano Moro, Mattia Sturlese, Antonella Ciancetta, Veronica Salmaso, Giuseppe Deganutti, Davide Sabbadin, Gianni De Fabritiis, Giovanni Bolcato, José Jiménez-Luna and Zara A. Sands and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Alberto Cuzzolin

18 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Cuzzolin Italy	13	366	198	79	73	58	20	461
Apurba Bhattarai United States	11	462 1.3×	157 0.8×	34 0.4×	62 0.8×	23 0.4×	16	590
Henrik Keränen Sweden	10	313 0.9×	107 0.5×	40 0.5×	42 0.6×	48 0.8×	10	420
Julien Louvel Netherlands	14	280 0.8×	96 0.5×	61 0.8×	73 1.0×	207 3.6×	19	487
Willem Jespers Netherlands	15	434 1.2×	138 0.7×	147 1.9×	92 1.3×	72 1.2×	44	615
Magdalena Bacilieri Italy	14	273 0.7×	131 0.7×	130 1.6×	43 0.6×	166 2.9×	19	447
Nuría B. Centeno Spain	15	365 1.0×	103 0.5×	76 1.0×	79 1.1×	101 1.7×	37	528
Stefan Gahbauer United States	7	425 1.2×	190 1.0×	15 0.2×	112 1.5×	64 1.1×	10	591
Jacobus P. D. van Veldhoven Netherlands	16	493 1.3×	106 0.5×	172 2.2×	132 1.8×	177 3.1×	26	658
Peter Ripphausen Germany	7	332 0.9×	336 1.7×	108 1.4×	11 0.2×	125 2.2×	8	562
Masaichi Warizaya Japan	13	339 0.9×	76 0.4×	55 0.7×	15 0.2×	101 1.7×	22	592

Countries citing papers authored by Alberto Cuzzolin

Since Specialization

Citations

This map shows the geographic impact of Alberto Cuzzolin'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 Alberto Cuzzolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Cuzzolin more than expected).

Fields of papers citing papers by Alberto Cuzzolin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Cuzzolin. 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 Alberto Cuzzolin. The network helps show where Alberto Cuzzolin may publish in the future.

Co-authorship network of co-authors of Alberto Cuzzolin

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

All Works

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20 of 20 papers shown

Scalvini, Laura, Daniele Pala, Alberto Cuzzolin, et al.. (2025). JAK3 Inhibitors: Covalent and Noncovalent Interactions of a Cyanamide Group Investigated by Multiscale Free-Energy Simulations. Journal of Chemical Information and Modeling. 65(3). 1404–1418.

Mesić, Milan, et al.. (2024). Spotting the unforeseen in the preparation of N-(azetidin-3-yl)-7H-pyrrolo[2,3-d]pyrimidin-4-amine derivatives. Tetrahedron Letters. 155. 155427–155427.

Pala, Daniele, Alberto Cuzzolin, Laura Scalvini, et al.. (2023). Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations. Journal of Chemical Information and Modeling. 63(9). 2842–2856. 9 indexed citations

Jiménez-Luna, José, Alberto Cuzzolin, Giovanni Bolcato, Mattia Sturlese, & Stefano Moro. (2020). A Deep-Learning Approach toward Rational Molecular Docking Protocol Selection. Molecules. 25(11). 2487–2487. 16 indexed citations

Lovera, Silvia, Alberto Cuzzolin, Sebastian Kelm, Gianni De Fabritiis, & Zara A. Sands. (2019). Reconstruction of apo A2A receptor activation pathways reveal ligand-competent intermediates and state-dependent cholesterol hotspots. Scientific Reports. 9(1). 14199–14199. 26 indexed citations

Bolcato, Giovanni, Alberto Cuzzolin, Maicol Bissaro, Stefano Moro, & Mattia Sturlese. (2019). Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database. International Journal of Molecular Sciences. 20(14). 3558–3558. 14 indexed citations

Jiménez-Luna, José, Davide Sabbadin, Alberto Cuzzolin, et al.. (2018). PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks. Journal of Chemical Information and Modeling. 59(3). 1172–1181. 25 indexed citations

Salmaso, Veronica, Mattia Sturlese, Alberto Cuzzolin, & Stefano Moro. (2017). Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2. Journal of Computer-Aided Molecular Design. 32(1). 251–264. 27 indexed citations

Salmaso, Veronica, Mattia Sturlese, Alberto Cuzzolin, & Stefano Moro. (2017). Exploring Protein-Peptide Recognition Pathways Using a Supervised Molecular Dynamics Approach. Structure. 25(4). 655–662.e2. 53 indexed citations

10.

Cuzzolin, Alberto, Giuseppe Deganutti, Veronica Salmaso, Mattia Sturlese, & Stefano Moro. (2017). AquaMMapS: An Alternative Tool to Monitor the Role of Water Molecules During Protein–Ligand Association. ChemMedChem. 13(6). 522–531. 28 indexed citations

11.

Cuzzolin, Alberto, et al.. (2017). Synthesis and preliminary structure-activity relationship study of 2-aryl-2H-pyrazolo[4,3-c]quinolin-3-ones as potential checkpoint kinase 1 (Chk1) inhibitors. Journal of Enzyme Inhibition and Medicinal Chemistry. 33(1). 171–183. 5 indexed citations

12.

Salmaso, Veronica, Mattia Sturlese, Alberto Cuzzolin, & Stefano Moro. (2016). DockBench as docking selector tool: the lesson learned from D3R Grand Challenge 2015. Journal of Computer-Aided Molecular Design. 30(9). 773–789. 13 indexed citations

13.

Ciancetta, Antonella, Alberto Cuzzolin, Giuseppe Deganutti, et al.. (2016). New Trends in Inspecting GPCR‐ligand Recognition Process: the Contribution of the Molecular Modeling Section (MMS) at the University of Padova. Molecular Informatics. 35(8-9). 440–448. 3 indexed citations

14.

Cuzzolin, Alberto, Mattia Sturlese, Giuseppe Deganutti, et al.. (2016). Deciphering the Complexity of Ligand–Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations. Journal of Chemical Information and Modeling. 56(4). 687–705. 72 indexed citations

15.

Deganutti, Giuseppe, Alberto Cuzzolin, Antonella Ciancetta, & Stefano Moro. (2015). Understanding allosteric interactions in G protein-coupled receptors using Supervised Molecular Dynamics: A prototype study analysing the human A3 adenosine receptor positive allosteric modulator LUF6000. Bioorganic & Medicinal Chemistry. 23(14). 4065–4071. 44 indexed citations

16.

Lovisa, Federica, Giorgio Cozza, Alberto Cuzzolin, et al.. (2015). ALK Kinase Domain Mutations in Primary Anaplastic Large Cell Lymphoma: Consequences on NPM-ALK Activity and Sensitivity to Tyrosine Kinase Inhibitors. PLoS ONE. 10(4). e0121378–e0121378. 6 indexed citations

17.

Sabbadin, Davide, Antonella Ciancetta, Giuseppe Deganutti, Alberto Cuzzolin, & Stefano Moro. (2015). Exploring the recognition pathway at the human A_2A adenosine receptor of the endogenous agonist adenosine using supervised molecular dynamics simulations. MedChemComm. 6(6). 1081–1085. 35 indexed citations

18.

Cuzzolin, Alberto, et al.. (2015). DockBench: An Integrated Informatic Platform Bridging the Gap between the Robust Validation of Docking Protocols and Virtual Screening Simulations. Molecules. 20(6). 9977–9993. 49 indexed citations

19.

Ciancetta, Antonella, Alberto Cuzzolin, & Stefano Moro. (2014). Alternative Quality Assessment Strategy to Compare Performances of GPCR-Ligand Docking Protocols: The Human Adenosine A_2A Receptor as a Case Study. Journal of Chemical Information and Modeling. 54(8). 2243–2254. 25 indexed citations

20.

Floris, Matteo, et al.. (2013). Implementing the “Best Template Searching” tool into Adenosiland platform. In Silico Pharmacology. 1(1). 25–25. 11 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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