Stefano Motta

845 total citations
33 papers, 547 citations indexed

About

Stefano Motta is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Stefano Motta has authored 33 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 9 papers in Materials Chemistry. Recurrent topics in Stefano Motta's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers) and Receptor Mechanisms and Signaling (4 papers). Stefano Motta is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers) and Receptor Mechanisms and Signaling (4 papers). Stefano Motta collaborates with scholars based in Italy, United Kingdom and United States. Stefano Motta's co-authors include Laura Bonati, Cristiana Di Valentin, Michael S. Denison, Daniele Di Marino, Alessandro Pandini, Samantha C. Faber, Alice Romagnoli, Paulo Siani, Daniele Selli and Dario Corrada and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Stefano Motta

32 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Motta Italy 16 280 97 79 72 62 33 547
Shahrokh Safarian Iran 17 317 1.1× 178 1.8× 34 0.4× 11 0.2× 174 2.8× 36 695
Maria Engelke Germany 17 237 0.8× 75 0.8× 10 0.1× 46 0.6× 75 1.2× 32 604
Nilantha Bandara United States 12 107 0.4× 63 0.6× 46 0.6× 21 0.3× 38 0.6× 21 452
А.В. Лисица Russia 14 526 1.9× 35 0.4× 45 0.6× 9 0.1× 78 1.3× 70 802
Danish Idrees India 14 426 1.5× 86 0.9× 41 0.5× 10 0.1× 73 1.2× 21 754
Daniel F. A. R. Dourado Portugal 15 502 1.8× 48 0.5× 20 0.3× 21 0.3× 19 0.3× 29 676
Shabbir Ahmad United States 13 399 1.4× 118 1.2× 16 0.2× 14 0.2× 42 0.7× 20 665
Anke Steinmetz France 10 388 1.4× 92 0.9× 44 0.6× 9 0.1× 25 0.4× 14 579
Jens T. Bukrinsky Denmark 14 428 1.5× 56 0.6× 28 0.4× 9 0.1× 66 1.1× 21 692
Ho‐Man Chan Hong Kong 13 420 1.5× 117 1.2× 27 0.3× 7 0.1× 116 1.9× 21 732

Countries citing papers authored by Stefano Motta

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Motta

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Motta. A scholar is included among the top collaborators of Stefano Motta 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 Stefano Motta. Stefano Motta 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.
2.
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
3.
Siani, Paulo, Jacopo Vertemara, Stefano Motta, et al.. (2024). Mechanism of RGD-conjugated nanodevice binding to its target protein integrin αVβ3 by atomistic molecular dynamics and machine learning. Nanoscale. 16(8). 4063–4081. 11 indexed citations
4.
Motta, Stefano, et al.. (2023). Unlocking the Potential of Field Effect Transistor (FET) Biosensors: A Perspective on Methodological Advances in Computational and Molecular Biology. SHILAP Revista de lepidopterología. 2(11). 12 indexed citations
5.
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
6.
Marino, Daniele Di, Paolo Conflitti, Stefano Motta, & Vittorio Limongelli. (2023). Structural basis of dimerization of chemokine receptors CCR5 and CXCR4. Nature Communications. 14(1). 6439–6439. 15 indexed citations
7.
Li, Tongtong, et al.. (2022). Recognizing the Binding Pattern and Dissociation Pathways of the p300 Taz2-p53 TAD2 Complex. JACS Au. 2(8). 1935–1945. 11 indexed citations
8.
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
9.
Motta, Stefano, et al.. (2021). Exploring the drug loading mechanism of photoactive inorganic nanocarriers through molecular dynamics simulations. Nanoscale. 13(30). 13000–13013. 13 indexed citations
10.
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
11.
Romagnoli, Alice, Mattia D’Agostino, Cristina Maracci, et al.. (2021). Control of the eIF4E activity: structural insights and pharmacological implications. Cellular and Molecular Life Sciences. 78(21-22). 6869–6885. 40 indexed citations
12.
Trucchi, Emiliano, Paolo Gratton, Fabrizio Mafessoni, et al.. (2020). Population Dynamics and Structural Effects at Short and Long Range Support the Hypothesis of the Selective Advantage of the G614 SARS-CoV-2 Spike Variant. Molecular Biology and Evolution. 38(5). 1966–1979. 21 indexed citations
13.
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
14.
D’Agostino, Mattia, Stefano Motta, Alice Romagnoli, et al.. (2020). Insights Into the Binding Mechanism of GC7 to Deoxyhypusine Synthase in Sulfolobus solfataricus: A Thermophilic Model for the Design of New Hypusination Inhibitors. Frontiers in Chemistry. 8. 609942–609942. 8 indexed citations
15.
Marino, Daniele Di, Stefano Motta, & Vittorio Limongelli. (2019). Homo and Heterodimeric Structures of CCR5 and CXCR4: Molecular Dynamics Simulation as an Alternative to X-Ray Diffraction. Biophysical Journal. 116(3). 344a–344a. 1 indexed citations
16.
Selli, Daniele, Stefano Motta, & Cristiana Di Valentin. (2019). Impact of surface curvature, grafting density and solvent type on the PEGylation of titanium dioxide nanoparticles. Journal of Colloid and Interface Science. 555. 519–531. 36 indexed citations
17.
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
18.
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
19.
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
20.
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

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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