Laura Bonati

2.3k total citations
57 papers, 1.7k citations indexed

About

Laura Bonati is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Laura Bonati has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 18 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Laura Bonati's work include Computational Drug Discovery Methods (22 papers), Toxic Organic Pollutants Impact (17 papers) and Protein Structure and Dynamics (13 papers). Laura Bonati is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Toxic Organic Pollutants Impact (17 papers) and Protein Structure and Dynamics (13 papers). Laura Bonati collaborates with scholars based in Italy, United States and United Kingdom. Laura Bonati's co-authors include Alessandro Pandini, Michael S. Denison, Stefano Motta, Anatoly A. Soshilov, Scott R. Nagy, Enoch P. Baldwin, Yujuan Song, Doménico Fraccalvieri, Dario Corrada and Samantha C. Faber and has published in prestigious journals such as The Journal of Chemical Physics, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Laura Bonati

56 papers receiving 1.6k citations

Peers

Laura Bonati

HTM

CTM

Alessandro Pandini United Kingdom

Choong Yong Ung Singapore

Ronan Bureau France

Hasso Seibert Germany

Michael W. Duffel United States

Tomas Bonn Sweden

James R. Rabinowitz United States

G. Lemaire France

Owe Engström Sweden

Lars Öhman United States

Alessandro Pandini United Kingdom

Laura Bonati

801 ×1.1

406 ×0.6

HTM

236 ×0.7

CTM

198 ×0.7

155 ×1.1

Citations per year, relative to Laura Bonati Laura Bonati (= 1×) peers Alessandro Pandini

Countries citing papers authored by Laura Bonati

Since Specialization

Citations

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

Fields of papers citing papers by Laura Bonati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Bonati

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Bonati. A scholar is included among the top collaborators of Laura Bonati 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 Laura Bonati. Laura Bonati 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

Motta, Stefano, et al.. (2025). SOMMD: an R package for the analysis of molecular dynamics simulations using self-organizing map. Bioinformatics. 41(6).

Bonati, Laura, et al.. (2024). Self-organizing maps of unbiased ligand–target binding pathways and kinetics. The Journal of Chemical Physics. 161(13). 2 indexed citations

Siani, Paulo, Jacopo Vertemara, Stefano Motta, et al.. (2024). Mechanism of RGD-conjugated nanodevice binding to its target protein integrin α_Vβ₃ by atomistic molecular dynamics and machine learning. Nanoscale. 16(8). 4063–4081. 11 indexed citations

Bonati, Laura, et al.. (2023). The AhR Signaling Mechanism: A Structural Point of View. Journal of Molecular Biology. 436(3). 168296–168296. 15 indexed citations

Brinkmann, Vanessa, Margherita Romeo, Lucie Larigot, et al.. (2022). Aryl Hydrocarbon Receptor-Dependent and -Independent Pathways Mediate Curcumin Anti-Aging Effects. Antioxidants. 11(4). 613–613. 8 indexed citations

Motta, Stefano, et al.. (2022). PathDetect-SOM: A Neural Network Approach for the Identification of Pathways in Ligand Binding Simulations. Journal of Chemical Theory and Computation. 18(3). 1957–1968. 21 indexed citations

Bonati, Laura, et al.. (2021). Metadynamics-Based Approaches for Modeling the Hypoxia-Inducible Factor 2α Ligand Binding Process. Journal of Chemical Theory and Computation. 17(7). 3841–3851. 19 indexed citations

Soshilov, Anatoly A., Stefano Motta, Laura Bonati, & Michael S. Denison. (2020). Transitional States in Ligand-Dependent Transformation of the Aryl Hydrocarbon Receptor into Its DNA-Binding Form. International Journal of Molecular Sciences. 21(7). 2474–2474. 30 indexed citations

Motta, Stefano, et al.. (2018). Exploring the PXR ligand binding mechanism with advanced Molecular Dynamics methods. Scientific Reports. 8(1). 16207–16207. 29 indexed citations

10.

Motta, Stefano, Claudia Minici, Dario Corrada, Laura Bonati, & Alessandro Pandini. (2018). Ligand-induced perturbation of the HIF-2α:ARNT dimer dynamics. PLoS Computational Biology. 14(2). e1006021–e1006021. 19 indexed citations

11.

Corrada, Dario, Michael S. Denison, & Laura Bonati. (2017). Structural modeling of the AhR:ARNT complex in the bHLH–PASA–PASB region elucidates the key determinants of dimerization. Molecular BioSystems. 13(5). 981–990. 22 indexed citations

12.

Larsson, Malin, Doménico Fraccalvieri, David Andersson, et al.. (2017). Identification of potential aryl hydrocarbon receptor ligands by virtual screening of industrial chemicals. Environmental Science and Pollution Research. 25(3). 2436–2449. 14 indexed citations

13.

Bonati, Laura, et al.. (2017). Molecular modeling of the AhR structure and interactions can shed light on ligand-dependent activation and transformation mechanisms. Current Opinion in Toxicology. 2. 42–49. 23 indexed citations

14.

Corrada, Dario, Anatoly A. Soshilov, Michael S. Denison, & Laura Bonati. (2016). Deciphering Dimerization Modes of PAS Domains: Computational and Experimental Analyses of the AhR:ARNT Complex Reveal New Insights Into the Mechanisms of AhR Transformation. PLoS Computational Biology. 12(6). e1004981–e1004981. 31 indexed citations

15.

Fraccalvieri, Doménico, et al.. (2014). Design of gliadin peptide analogues with low affinity for the celiac disease associated HLA–DQ2 protein. Molecular BioSystems. 10(8). 2064–2073. 3 indexed citations

16.

Denison, Michael S., Doménico Fraccalvieri, Laura Bonati, et al.. (2013). Specific Ligand Binding Domain Residues Confer Low Dioxin Responsiveness to AHR1β ofXenopus laevis. Biochemistry. 52(10). 1746–1754. 20 indexed citations

17.

Fraccalvieri, Doménico, Matteo Tiberti, Alessandro Pandini, Laura Bonati, & Elena Papaleo. (2012). Functional annotation of the mesophilic-like character of mutants in a cold-adapted enzyme by self-organising map analysis of their molecular dynamics. Molecular BioSystems. 8(10). 2680–2691. 11 indexed citations

18.

Soshilov, Anatoly A., et al.. (2011). New Aryl Hydrocarbon Receptor Homology Model Targeted To Improve Docking Reliability. Journal of Chemical Information and Modeling. 51(11). 2868–2881. 67 indexed citations

19.

Denison, Michael S., Alessandro Pandini, Scott R. Nagy, Enoch P. Baldwin, & Laura Bonati. (2002). Ligand binding and activation of the Ah receptor. Chemico-Biological Interactions. 141(1-2). 3–24. 372 indexed citations

20.

Todeschini, Roberto, Giorgio Moro, Raffaella Boggia, et al.. (1997). Modeling and prediction of molecular properties. Theory of grid-weighted holistic invariant molecular (G-WHIM) descriptors. Chemometrics and Intelligent Laboratory Systems. 36(1). 65–73. 16 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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