Stefano Raniolo

1.9k total citations
14 papers, 439 citations indexed

About

Stefano Raniolo is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Stefano Raniolo has authored 14 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Stefano Raniolo's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (3 papers). Stefano Raniolo is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (3 papers). Stefano Raniolo collaborates with scholars based in Switzerland, Italy and Canada. Stefano Raniolo's co-authors include Vittorio Limongelli, Paolo Conflitti, Sebastian Thallmair, Paulo C. T. Souza, Riccardo Alessandri, Carlos Ramírez-Palacios, ‪Siewert J. Marrink, Yechun Xu, Xiaojing Yuan and Daniele Di Marino and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Bioinformatics.

In The Last Decade

Stefano Raniolo

13 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Raniolo Switzerland	9	358	105	73	39	31	14	439
Jennifer M. Bui Canada	13	418 1.2×	102 1.0×	103 1.4×	42 1.1×	25 0.8×	26	540
Mazen Ahmad Germany	9	468 1.3×	133 1.3×	122 1.7×	67 1.7×	22 0.7×	20	655
Donghyuk Suh United States	9	352 1.0×	110 1.0×	100 1.4×	81 2.1×	17 0.5×	16	473
Neil J. Bruce Germany	10	281 0.8×	106 1.0×	53 0.7×	24 0.6×	16 0.5×	15	348
Apurba Bhattarai United States	11	462 1.3×	157 1.5×	80 1.1×	38 1.0×	62 2.0×	16	590
Abdallah Sayyed–Ahmad United States	16	621 1.7×	59 0.6×	138 1.9×	25 0.6×	23 0.7×	30	746
Predrag Kukić United Kingdom	16	538 1.5×	78 0.7×	155 2.1×	41 1.1×	32 1.0×	37	732
Gregory A. Manley United States	9	324 0.9×	69 0.7×	111 1.5×	23 0.6×	17 0.5×	10	424
Tamara Frembgen-Kesner United States	6	503 1.4×	60 0.6×	184 2.5×	40 1.0×	23 0.7×	6	642
Duy Phuoc Tran Japan	13	430 1.2×	82 0.8×	83 1.1×	41 1.1×	79 2.5×	22	562

Countries citing papers authored by Stefano Raniolo

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Raniolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Raniolo

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

All Works

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14 of 14 papers shown

Raniolo, Stefano, et al.. (2025). HEroBM: A deep equivariant graph neural network for high-fidelity backmapping from coarse-grained to all-atom structures. The Journal of Chemical Physics. 163(7).

Raniolo, Stefano, Georgia Papadaki, George Lambrinidis, et al.. (2023). Uracil/H+ Symport by FurE Refines Aspects of the Rocking-bundle Mechanism of APC-type Transporters. Journal of Molecular Biology. 435(19). 168226–168226. 1 indexed citations

Aureli, Simone, et al.. (2023). Conformational plasticity and allosteric communication networks explain Shelterin protein TPP1 binding to human telomerase. Communications Chemistry. 6(1). 242–242. 4 indexed citations

Raniolo, Stefano, et al.. (2023). Transferring chemical and energetic knowledge between molecular systems with machine learning. Communications Chemistry. 6(1). 13–13. 3 indexed citations

Conflitti, Paolo, Stefano Raniolo, & Vittorio Limongelli. (2023). Perspectives on Ligand/Protein Binding Kinetics Simulations: Force Fields, Machine Learning, Sampling, and User-Friendliness. Journal of Chemical Theory and Computation. 19(18). 6047–6061. 17 indexed citations

Raniolo, Stefano & Vittorio Limongelli. (2021). Improving Small-Molecule Force Field Parameters in Ligand Binding Studies. Frontiers in Molecular Biosciences. 8. 760283–760283. 18 indexed citations

Raniolo, Stefano & Vittorio Limongelli. (2020). Ligand binding free-energy calculations with funnel metadynamics. Nature Protocols. 15(9). 2837–2866. 118 indexed citations

Fagiani, Francesca, Michele Catanzaro, Erica Buoso, et al.. (2020). Targeting Cytokine Release Through the Differential Modulation of Nrf2 and NF-κB Pathways by Electrophilic/Non-Electrophilic Compounds. Frontiers in Pharmacology. 11. 1256–1256. 12 indexed citations

Souza, Paulo C. T., Sebastian Thallmair, Paolo Conflitti, et al.. (2020). Protein–ligand binding with the coarse-grained Martini model. Nature Communications. 11(1). 150 indexed citations

10.

D’Annessa, Ilda, Stefano Raniolo, Vittorio Limongelli, Daniele Di Marino, & Giorgio Colombo. (2019). Ligand Binding, Unbinding, and Allosteric Effects: Deciphering Small-Molecule Modulation of HSP90. Journal of Chemical Theory and Computation. 15(11). 6368–6381. 40 indexed citations

11.

Bocchinfuso, Gianfranco, Marta De Zotti, Daniela Arosio, et al.. (2019). Rational Design of Antiangiogenic Helical Oligopeptides Targeting the Vascular Endothelial Growth Factor Receptors. Frontiers in Chemistry. 7. 170–170. 12 indexed citations

12.

Aureli, Simone, Daniele Di Marino, Stefano Raniolo, & Vittorio Limongelli. (2019). DDT - Drug Discovery Tool: a fast and intuitive graphics user interface for docking and molecular dynamics analysis. Bioinformatics. 35(24). 5328–5330. 7 indexed citations

13.

Yuan, Xiaojing, Stefano Raniolo, Vittorio Limongelli, & Yechun Xu. (2018). The Molecular Mechanism Underlying Ligand Binding to the Membrane-Embedded Site of a G-Protein-Coupled Receptor. Journal of Chemical Theory and Computation. 14(5). 2761–2770. 42 indexed citations

14.

Bocchinfuso, Gianfranco, Paolo Conflitti, Stefano Raniolo, et al.. (2014). Aggregation propensity of Aib homo‐peptides of different length: an insight from molecular dynamics simulations. Journal of Peptide Science. 20(7). 494–507. 15 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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