Simone Sciabola

2.4k citations
42 papers · 1.9k · h-index 22

Impact in

    • Computational Drug Discovery Methods
    • Protein Structure and Dynamics
    • RNA Interference and Gene Delivery
    • Chemical Synthesis and Analysis
    • Receptor Mechanisms and Signaling
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry

Papers in

Simone Sciabola

40 papers receiving 1.8k citations

Peers

Simone Sciabola
Comparison fields: 5 of 108
  • Computational Theory and Mathematics 697
  • Molecular Biology 1.2k
  • Pharmacology 87
  • Organic Chemistry 276
  • Pharmaceutical Science 56
Replace Giovanna Tedesco with:
Giovanna Tedesco Italy
Gergely M. Makara United States
Patrick R. McCarren United States
Ulrich Schopfer Switzerland
Rafał Kurczab Poland
Cristiano R. W. Guimarães United States
Mark R. McGann United States
Ralph T. Mosley United States
Jan Kelder Netherlands
Wolfgang Guba Switzerland
Simone Sciabola relative to Giovanna Tedesco Italy Giovanna Tedesco's profile →
Citations per field
00.5×2×2.8×
Giovanna Tedesco · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Simone Sciabola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Sciabola Line = papers co-authored together Simone Sciabola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007382
2 2004209
3 2014141
4 2019103
5 201299
6 201497
7 201693
8 200967
9 202362
10 201954
11 202346
12 201846
13 200845
14 200544
15 202135
16 200834
17 200529
18 201728
19 201627
20 200726

About Simone Sciabola

Simone Sciabola is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Pharmacology and Materials Chemistry, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Protein Structure and Dynamics (10 papers), Analytical Chemistry and Chromatography (6 papers), Receptor Mechanisms and Signaling (6 papers), Machine Learning in Materials Science (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Computational Theory and Mathematics (697 citations), Molecular Biology (1.2k citations), Pharmacology (87 citations), Organic Chemistry (276 citations) and Pharmaceutical Science (56 citations). Simone Sciabola has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Gabriele Cruciani, Massimo Baroni, Emanuele Carosati, Jonathan S. Mason, Francesca Perruccio, Robert V. Stanton, Gianni De Fabritiis, Boris Sattarov, Davide Sabbadin and Miha Škalič. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Nucleic Acids Research, Molecules and Nucleic Acid Therapeutics.

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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