Simone Sciabola

2.3k citations
38 papers · 1.8k · h-index 21

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

36 papers receiving 1.7k citations

Peers

Simone Sciabola
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 672
  • Molecular Biology 1.2k
  • Pharmacology 87
  • Pharmaceutical Science 54
  • Organic Chemistry 253
Replace Gerhard Heßler with:
Gerhard Heßler Germany
Brian Y. Feng United States
Alexander Alanine Switzerland
Wolfgang Guba Switzerland
Allison K. Doak United States
Owen B. Wallace United States
Brian Springthorpe United Kingdom
Giovanna Tedesco Italy
Gergely M. Makara United States
Mark McGann United States
Simone Sciabola relative to Gerhard Heßler Germany Gerhard Heßler's profile →
Citations per field
00.5×
Gerhard Heßler · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007377
2 2004206
3 2014133
4 201998
5 201297
6 201688
7 201487
8 200966
9 202355
10 201950
11 201845
12 200544
13 200842
14 202340
15 202134
16 200832
17 200529
18 201626
19 200726
20 200625

About Simone Sciabola

Simone Sciabola is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Materials Chemistry and Pharmacology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Protein Structure and Dynamics (10 papers), Receptor Mechanisms and Signaling (6 papers), Analytical Chemistry and Chromatography (6 papers), Machine Learning in Materials Science (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Computational Theory and Mathematics (672 citations), Molecular Biology (1.2k citations), Pharmacology (87 citations), Pharmaceutical Science (54 citations) and Organic Chemistry (253 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 Mason, Francesca Perruccio, Robert V. Stanton, Gianni De Fabritiis, Miha Škalič, Boris Sattarov and Davide Sabbadin. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Nucleic Acids Research, Nucleic Acid Therapeutics and Molecules.

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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