Maicol Bissaro

416 total citations
18 papers, 288 citations indexed

About

Maicol Bissaro is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maicol Bissaro has authored 18 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maicol Bissaro's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Maicol Bissaro is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Maicol Bissaro collaborates with scholars based in Italy, United Kingdom and Spain. Maicol Bissaro's co-authors include Stefano Moro, Mattia Sturlese, Giovanni Bolcato, Matteo Pavan, Stephanie Federico, Giampiero Spalluto, Davide Bassani, Daniel I. Pérez, Stephen Redenti and Alberto Cuzzolin and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Maicol Bissaro

18 papers receiving 282 citations

Peers

Countries citing papers authored by Maicol Bissaro

Since Specialization

Citations

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

Fields of papers citing papers by Maicol Bissaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maicol Bissaro

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Computational Strategies to Identify New Drug Candidates againstNeuroinflammation 2022 ·Current Medicinal Chemistry ·Matteo Pavan, Davide Bassani, Giovanni Bolcato, Maicol Bissaro, Mattia Sturlese, Stefano Moro	6
2	Developing novel classes of protein kinase CK1δ inhibitors by fusing [1,2,4]triazole with different bicyclic heteroaromatic systems 2021 ·European Journal of Medicinal Chemistry ·(unknown), Maicol Bissaro, Davide Benedetto Tiz, Daniel I. Pérez, (unknown), Ana Martı́nez, Stephen Redenti, Elena Mariotto, Roberta Bortolozzi, Giampietro Viola, Giorgio Cozza, Giampiero Spalluto, Stefano Moro, Stephanie Federico	12
3	Shedding Light on the Molecular Recognition of Sub-Kilodalton Macrocyclic Peptides on Thrombin by Supervised Molecular Dynamics 2021 ·Frontiers in Molecular Biosciences ·(unknown), Giovanni Bolcato, Maicol Bissaro, Mattia Sturlese, Stefano Moro	5
4	On the mechanism of tumor cell entry of aloe‐emodin, a natural compound endowed with anticancer activity 2021 ·International Journal of Cancer ·Teresa Pecere, Eleonora Ponterio, Enzo Di Iorio, Modesto Carli, Matteo Fassan, Luisa Santoro, Maicol Bissaro, Giulia Bernabé, Stefano Moro, Ignazio Castagliuolo, Giorgio Palù	2
5	Inspecting the Mechanism of Fragment Hits Binding on SARS‐CoV‐2 M^pro by Using Supervised Molecular Dynamics (SuMD) Simulations 2021 ·ChemMedChem ·Maicol Bissaro, Giovanni Bolcato, Matteo Pavan, Davide Bassani, Mattia Sturlese, Stefano Moro	14
6	A Computational Workflow for the Identification of Novel Fragments Acting as Inhibitors of the Activity of Protein Kinase CK1δ 2021 ·International Journal of Molecular Sciences ·Giovanni Bolcato, (unknown), Matteo Pavan, Maicol Bissaro, Davide Bassani, Stephanie Federico, Giampiero Spalluto, Mattia Sturlese, Stefano Moro	16
7	Exploring the RNA-Recognition Mechanism Using Supervised Molecular Dynamics (SuMD) Simulations: Toward a Rational Design for Ribonucleic-Targeting Molecules? 2020 ·Frontiers in Chemistry ·Maicol Bissaro, Mattia Sturlese, Stefano Moro	17
8	The rise of molecular simulations in fragment-based drug design (FBDD): an overview 2020 ·Drug Discovery Today ·Maicol Bissaro, Mattia Sturlese, Stefano Moro	48
9	Targeting the coronavirus SARS-CoV-2: computational insights into the mechanism of action of the protease inhibitors lopinavir, ritonavir and nelfinavir 2020 ·Scientific Reports ·Giovanni Bolcato, Maicol Bissaro, Matteo Pavan, Mattia Sturlese, Stefano Moro	49
10	New Insights into Key Determinants for Adenosine 1 Receptor Antagonists Selectivity Using Supervised Molecular Dynamics Simulations 2020 ·Biomolecules ·Giovanni Bolcato, Maicol Bissaro, Giuseppe Deganutti, Mattia Sturlese, Stefano Moro	5
11	Comparing Fragment Binding Poses Prediction Using HSP90 as a Key Study: When Bound Water Makes the Difference 2020 ·Molecules ·Giovanni Bolcato, Maicol Bissaro, Mattia Sturlese, Stefano Moro	5
12	HT-SuMD: making molecular dynamics simulations suitable for fragment-based screening. A comparative study with NMR 2020 ·Journal of Enzyme Inhibition and Medicinal Chemistry ·Francesca Ferrari, Maicol Bissaro, (unknown), (unknown), Stefano Mammi, Stefano Moro, Massimo Bellanda, Mattia Sturlese	11
13	Scaffold Repurposing of in-House Chemical Library toward the Identification of New Casein Kinase 1 δ Inhibitors 2020 ·ACS Medicinal Chemistry Letters ·(unknown), Giovanni Bolcato, Stephanie Federico, Maicol Bissaro, (unknown), María Grazia Ferlin, Giampiero Spalluto, Mattia Sturlese, Stefano Moro	12
14	Deciphering the Molecular Recognition Mechanism of Multidrug Resistance Staphylococcus aureus NorA Efflux Pump Using a Supervised Molecular Dynamics Approach 2019 ·International Journal of Molecular Sciences ·(unknown), Maicol Bissaro, Giovanni Bolcato, Andrea Astolfi, Tommaso Felicetti, Stefano Sabatini, Mattia Sturlese, Violetta Cecchetti, Maria Letizia Barreca, Stefano Moro	21
15	Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database 2019 ·International Journal of Molecular Sciences ·Giovanni Bolcato, Alberto Cuzzolin, Maicol Bissaro, Stefano Moro, Mattia Sturlese	14
16	Revisiting the Allosteric Regulation of Sodium Cation on the Binding of Adenosine at the Human A2A Adenosine Receptor: Insights from Supervised Molecular Dynamics (SuMD) Simulations 2019 ·Molecules ·Maicol Bissaro, Giovanni Bolcato, Giuseppe Deganutti, Mattia Sturlese, Stefano Moro	6
17	Targeting Protein Kinase CK1δ with Riluzole: Could It Be One of the Possible Missing Bricks to Interpret Its Effect in the Treatment of ALS from a Molecular Point of View? 2018 ·ChemMedChem ·Maicol Bissaro, Stephanie Federico, Veronica Salmaso, Mattia Sturlese, Giampiero Spalluto, Stefano Moro	15
18	A Triazolotriazine‐Based Dual GSK‐3β/CK‐1δ Ligand as a Potential Neuroprotective Agent Presenting Two Different Mechanisms of Enzymatic Inhibition 2018 ·ChemMedChem ·Stephen Redenti, (unknown), (unknown), Concepción Pérez, Rita De Zorzi, Nicola Demitri, Daniel I. Pérez, Giovanni Bottegoni, Paola Bisignano, Maicol Bissaro, Stefano Moro, Ana Martı́nez, Paola Storici, Giampiero Spalluto, Andrea Cavalli, Stephanie Federico	30

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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