Mattia Bernetti

2.0k total citations
22 papers, 477 citations indexed

About

Mattia Bernetti is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Mattia Bernetti has authored 22 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Mattia Bernetti's work include Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (10 papers) and RNA and protein synthesis mechanisms (8 papers). Mattia Bernetti is often cited by papers focused on Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (10 papers) and RNA and protein synthesis mechanisms (8 papers). Mattia Bernetti collaborates with scholars based in Italy, Germany and Austria. Mattia Bernetti's co-authors include Andrea Cavalli, Matteo Masetti, Luca Mollica, Walter Rocchia, Maurizio Recanatini, Giovanni Bussi, Rommie E. Amaro, Djordje Müsil, Hans‐Michael Eggenweiler and Gerhard F. Ecker and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Mattia Bernetti

22 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mattia Bernetti Italy 11 390 173 86 46 40 22 477
Stefano Raniolo Switzerland 9 358 0.9× 105 0.6× 73 0.8× 31 0.7× 39 1.0× 14 439
Mike J. Bodkin United Kingdom 11 328 0.8× 207 1.2× 78 0.9× 59 1.3× 44 1.1× 15 420
Apurba Bhattarai United States 11 462 1.2× 157 0.9× 80 0.9× 73 1.6× 38 0.9× 16 590
Camilo Velez‐Vega United States 12 334 0.9× 108 0.6× 70 0.8× 38 0.8× 60 1.5× 19 435
Andrea C. McReynolds United States 8 407 1.0× 142 0.8× 95 1.1× 36 0.8× 62 1.6× 9 564
Marc Bianciotto France 10 351 0.9× 194 1.1× 110 1.3× 33 0.7× 34 0.8× 16 468
Hsu‐Chun Tsai United States 6 300 0.8× 144 0.8× 94 1.1× 23 0.5× 55 1.4× 8 390
Petr Popov Russia 14 468 1.2× 214 1.2× 98 1.1× 48 1.0× 35 0.9× 39 604
Neil J. Bruce Germany 10 281 0.7× 106 0.6× 53 0.6× 31 0.7× 24 0.6× 15 348
Donghyuk Suh United States 9 352 0.9× 110 0.6× 100 1.2× 44 1.0× 81 2.0× 16 473

Countries citing papers authored by Mattia Bernetti

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Bernetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Bernetti

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Bernetti. A scholar is included among the top collaborators of Mattia Bernetti 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 Mattia Bernetti. Mattia Bernetti 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.
Skyner, R., et al.. (2025). Application of Deep Learning to Predict the Persistence, Bioaccumulation, and Toxicity of Pharmaceuticals. Journal of Chemical Information and Modeling. 65(7). 3248–3261. 4 indexed citations
2.
Bernetti, Mattia, et al.. (2025). Path-Based Nonequilibrium Binding Free Energy Estimation, from Protein–Ligand to RNA-Ligand Binding. Journal of Chemical Information and Modeling. 65(12). 6057–6072. 1 indexed citations
3.
Bernetti, Mattia, et al.. (2024). Probing allosteric communication with combined molecular dynamics simulations and network analysis. Current Opinion in Structural Biology. 86. 102820–102820. 8 indexed citations
4.
Bernetti, Mattia, et al.. (2024). Similarities and Differences in Ligand Binding to Protein and RNA Targets: The Case of Riboflavin. Journal of Chemical Information and Modeling. 64(11). 4570–4586. 1 indexed citations
5.
Bernetti, Mattia, et al.. (2023). Simultaneous refinement of molecular dynamics ensembles and forward models using experimental data. The Journal of Chemical Physics. 158(21). 8 indexed citations
6.
Bernetti, Mattia, et al.. (2023). On the allosteric puzzle and pocket crosstalk through computational means. The Journal of Chemical Physics. 158(16). 7 indexed citations
7.
Bernetti, Mattia, et al.. (2023). Molecular Dynamics Simulations with Grand-Canonical Reweighting Suggest Cooperativity Effects in RNA Structure Probing Experiments. Journal of Chemical Theory and Computation. 19(12). 3672–3685. 2 indexed citations
8.
Bernetti, Mattia, et al.. (2022). Computational drug discovery under RNA times. SHILAP Revista de lepidopterología. 3. e22–e22. 11 indexed citations
9.
Bernetti, Mattia & Giovanni Bussi. (2022). Integrating experimental data with molecular simulations to investigate RNA structural dynamics. Current Opinion in Structural Biology. 78. 102503–102503. 20 indexed citations
10.
Bernetti, Mattia, et al.. (2022). Molecular Simulations Matching Denaturation Experiments for N6-Methyladenosine. ACS Central Science. 8(8). 1218–1228. 8 indexed citations
11.
Raiteri, Paolo, et al.. (2022). Molecular Dynamics of Solids at Constant Pressure and Stress Using Anisotropic Stochastic Cell Rescaling. Applied Sciences. 12(3). 1139–1139. 3 indexed citations
12.
Bernetti, Mattia & Giovanni Bussi. (2021). Comparing state-of-the-art approaches to back-calculate SAXS spectra from atomistic molecular dynamics simulations. The European Physical Journal B. 94(9). 12 indexed citations
13.
Masetti, Matteo, Mattia Bernetti, & Andrea Cavalli. (2020). Enhanced Molecular Dynamics Simulations of Intrinsically Disordered Proteins. Methods in molecular biology. 2141. 391–411. 4 indexed citations
14.
Bernetti, Mattia, et al.. (2020). Data-Driven Molecular Dynamics: A Multifaceted Challenge. Pharmaceuticals. 13(9). 253–253. 26 indexed citations
15.
Bernetti, Mattia, Matteo Masetti, Maurizio Recanatini, Rommie E. Amaro, & Andrea Cavalli. (2019). An Integrated Markov State Model and Path Metadynamics Approach To Characterize Drug Binding Processes. Journal of Chemical Theory and Computation. 15(10). 5689–5702. 47 indexed citations
16.
Bernetti, Mattia, Elena Rosini, Luca Mollica, et al.. (2018). Binding Residence Time through Scaled Molecular Dynamics: A Prospective Application to hDAAO Inhibitors. Journal of Chemical Information and Modeling. 58(11). 2255–2265. 22 indexed citations
17.
Schuetz, Doris A., Mattia Bernetti, Djordje Müsil, et al.. (2018). Predicting Residence Time and Drug Unbinding Pathway through Scaled Molecular Dynamics. Journal of Chemical Information and Modeling. 59(1). 535–549. 56 indexed citations
18.
Bernetti, Mattia, Matteo Masetti, Fabio Pietrucci, et al.. (2017). Structural and Kinetic Characterization of the Intrinsically Disordered Protein SeV NTAIL through Enhanced Sampling Simulations. The Journal of Physical Chemistry B. 121(41). 9572–9582. 23 indexed citations
19.
Masetti, Matteo, Francesco Musiani, Mattia Bernetti, et al.. (2017). Development of a multisite model for Ni(II) ion in solution from thermodynamic and kinetic data. Journal of Computational Chemistry. 38(21). 1834–1843. 10 indexed citations
20.
Bernetti, Mattia, Andrea Cavalli, & Luca Mollica. (2017). Protein–ligand (un)binding kinetics as a new paradigm for drug discovery at the crossroad between experiments and modelling. MedChemComm. 8(3). 534–550. 76 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stefano Raniolo Breakdown of academic impact, for papers by Mike J. Bodkin Breakdown of academic impact, for papers by Apurba Bhattarai Breakdown of academic impact, for papers by Camilo Velez‐Vega Breakdown of academic impact, for papers by Andrea C. McReynolds Breakdown of academic impact, for papers by Marc Bianciotto Breakdown of academic impact, for papers by Hsu‐Chun Tsai Breakdown of academic impact, for papers by Petr Popov Breakdown of academic impact, for papers by Neil J. Bruce Breakdown of academic impact, for papers by Donghyuk Suh
Rankless by CCL
2026