Simone Sciabola

2.3k total citations
36 papers, 1.6k citations indexed

About

Simone Sciabola is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Simone Sciabola has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Simone Sciabola's work include Computational Drug Discovery Methods (23 papers), Protein Structure and Dynamics (10 papers) and Machine Learning in Materials Science (6 papers). Simone Sciabola is often cited by papers focused on Computational Drug Discovery Methods (23 papers), Protein Structure and Dynamics (10 papers) and Machine Learning in Materials Science (6 papers). Simone Sciabola collaborates with scholars based in United States, Italy and United Kingdom. Simone Sciabola's co-authors include Gabriele Cruciani, Massimo Baroni, Emanuele Carosati, Jonathan Mason, Francesca Perruccio, Robert V. Stanton, Gianni De Fabritiis, Davide Sabbadin, Boris Sattarov and Miha Škalič and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Simone Sciabola

35 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Sciabola United States 21 1.1k 613 240 230 132 36 1.6k
Brian Y. Feng United States 11 1.2k 1.1× 599 1.0× 322 1.3× 157 0.7× 83 0.6× 18 1.9k
Allison K. Doak United States 14 1.1k 1.0× 813 1.3× 251 1.0× 177 0.8× 127 1.0× 14 1.8k
Paul Beroza United States 21 1.2k 1.1× 362 0.6× 267 1.1× 276 1.2× 124 0.9× 32 1.8k
Giovanna Tedesco Italy 12 1.1k 1.0× 891 1.5× 386 1.6× 218 0.9× 144 1.1× 15 1.6k
Scott P. Brown United States 15 812 0.7× 557 0.9× 217 0.9× 229 1.0× 79 0.6× 22 1.3k
Irene Nobeli United Kingdom 19 1.1k 1.0× 278 0.5× 154 0.6× 247 1.1× 87 0.7× 42 1.5k
Gerhard Heßler Germany 22 1.5k 1.4× 642 1.0× 456 1.9× 193 0.8× 229 1.7× 56 2.1k
Lada Biedermannová Czechia 13 1.2k 1.1× 221 0.4× 243 1.0× 298 1.3× 101 0.8× 24 1.8k
Qiancheng Shen China 22 1.1k 1.0× 536 0.9× 200 0.8× 94 0.4× 65 0.5× 33 1.5k
Mark McGann United States 7 893 0.8× 600 1.0× 303 1.3× 157 0.7× 51 0.4× 11 1.4k

Countries citing papers authored by Simone Sciabola

Since Specialization
Citations

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

Fields of papers citing papers by Simone Sciabola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Sciabola

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Sciabola. A scholar is included among the top collaborators of Simone Sciabola 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 Simone Sciabola. Simone Sciabola 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.
Atwi, Rasha, et al.. (2024). ROSHAMBO: Open-Source Molecular Alignment and 3D Similarity Scoring. Journal of Chemical Information and Modeling. 64(21). 8098–8104.
2.
Wang, Ye, et al.. (2024). Machine Learning Methods as a Cost-Effective Alternative to Physics-Based Binding Free Energy Calculations. Molecules. 29(4). 830–830. 1 indexed citations
3.
Genna, Vito, Javier Iglesias‐Fernández, Núria Villegas, et al.. (2023). Controlled sulfur-based engineering confers mouldability to phosphorothioate antisense oligonucleotides. Nucleic Acids Research. 51(10). 4713–4725. 10 indexed citations
4.
Zhao, Honggang, et al.. (2023). cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation. Molecules. 28(11). 4430–4430. 46 indexed citations
5.
Sciabola, Simone, Hualin Simon Xi, Qing Cao, et al.. (2021). PFRED: A computational platform for siRNA and antisense oligonucleotides design. PLoS ONE. 16(1). e0238753–e0238753. 30 indexed citations
6.
Jiménez-Luna, José, Laura Pérez‐Benito, Gerard Martínez-Rosell, et al.. (2019). DeltaDelta neural networks for lead optimization of small molecule potency. Chemical Science. 10(47). 10911–10918. 48 indexed citations
7.
Škalič, Miha, Davide Sabbadin, Boris Sattarov, Simone Sciabola, & Gianni De Fabritiis. (2019). From Target to Drug: Generative Modeling for the Multimodal Structure-Based Ligand Design. Molecular Pharmaceutics. 16(10). 4282–4291. 92 indexed citations
8.
Sciabola, Simone, Paolo Benedetti, Rubben Torella, et al.. (2018). Discovering New Casein Kinase 1d Inhibitors with an Innovative Molecular Dynamics Enabled Virtual Screening Workflow. ACS Medicinal Chemistry Letters. 10(4). 487–492. 9 indexed citations
9.
Ferruz, Noelia, Stefan Doerr, Michelle Vanase‐Frawley, et al.. (2018). Dopamine D3 receptor antagonist reveals a cryptic pocket in aminergic GPCRs. Scientific Reports. 8(1). 897–897. 44 indexed citations
10.
Kablaoui, Natasha M., Michelle Vanase‐Frawley, & Simone Sciabola. (2017). Hybrid peptide-small molecule oxytocin analogs are potent and selective agonists of the oxytocin receptor. Bioorganic & Medicinal Chemistry Letters. 28(3). 415–419. 8 indexed citations
11.
Stroebel, David, Derek L. Buhl, John D. Knafels, et al.. (2016). A Novel Binding Mode Reveals Two Distinct Classes of NMDA Receptor GluN2B-selective Antagonists. Molecular Pharmacology. 89(5). 541–551. 85 indexed citations
12.
Sciabola, Simone, Gilles H. Goetz, Guoyun Bai, et al.. (2016). Systematic N-methylation of oxytocin: Impact on pharmacology and intramolecular hydrogen bonding network. Bioorganic & Medicinal Chemistry. 24(16). 3513–3520. 23 indexed citations
13.
Burdick, Andrew D., Simone Sciabola, Srinivasa R. Mantena, et al.. (2014). Sequence motifs associated with hepatotoxicity of locked nucleic acid—modified antisense oligonucleotides. Nucleic Acids Research. 42(8). 4882–4891. 114 indexed citations
14.
Goetz, Gilles H., William Farrell, Marina Shalaeva, et al.. (2014). High Throughput Method for the Indirect Detection of Intramolecular Hydrogen Bonding. Journal of Medicinal Chemistry. 57(7). 2920–2929. 78 indexed citations
15.
Stanton, Robert V., Simone Sciabola, Christopher T. Salatto, et al.. (2012). Chemical Modification Study of Antisense Gapmers. Nucleic Acid Therapeutics. 22(5). 344–359. 87 indexed citations
16.
Sciabola, Simone, Qing Cao, Modesto Orozco, Ignacio Faustino, & Robert V. Stanton. (2012). Improved nucleic acid descriptors for siRNA efficacy prediction. Nucleic Acids Research. 41(3). 1383–1394. 20 indexed citations
17.
Xi, Hualin Simon, Simone Sciabola, Ajith V. Kamath, et al.. (2008). High-Throughput Biochemical Kinase Selectivity Assays: Panel Development and Screening Applications. SLAS DISCOVERY. 14(1). 31–42. 41 indexed citations
18.
Sciabola, Simone, Emanuele Carosati, L. Cucurull-Sanchez, Massimo Baroni, & Raimund Mannhold. (2007). Novel TOPP descriptors in 3D-QSAR analysis of apoptosis inducing 4-aryl-4H-chromenes: Comparison versus other 2D- and 3D-descriptors. Bioorganic & Medicinal Chemistry. 15(19). 6450–6462. 26 indexed citations
19.
Lamanna, Claudia, Alessia Catalano, Alessia Carocci, et al.. (2007). AT1 Receptor Ligands: Virtual‐Screening‐Based Design with TOPP Descriptors, Synthesis, and Biological Evaluation of Pyrrolidine Derivatives. ChemMedChem. 2(9). 1298–1310. 7 indexed citations
20.
Sciabola, Simone, Alexander Alex, Paul Higginson, et al.. (2005). Theoretical Prediction of the Enantiomeric Excess in Asymmetric Catalysis. An Alignment-Independent Molecular Interaction Field Based Approach. The Journal of Organic Chemistry. 70(22). 9025–9027. 28 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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