Simone Sciabola

2.3k citations
36 papers · 1.6k indexed · h-index 21

Impact in

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

Papers in

Simone Sciabola

35 papers receiving 1.6k citations

Peers

Simone Sciabola
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 613
  • Molecular Biology 1.1k
  • Pharmacology 75
  • Organic Chemistry 240
  • Pharmaceutical Science 51
Replace Gerhard Heßler with:
Gerhard Heßler Germany
Brian Y. Feng United States
Alexander Alanine Switzerland
Wolfgang Guba Switzerland
Iain M. McLay United Kingdom
Tatu Pantsar Finland
Michelle L. Lamb United States
Allison K. Doak United States
Mark McGann United States
Owen B. Wallace 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007340
2 2004194
3 2014114
4 201992
5 201287
6 201685
7 201478
8 200964
9 201948
10 202346
11 201844
12 200544
13 200841
14 200831
15 202331
16 202130
17 200528
18 200726
19 201623
20 200622

About Simone Sciabola

Simone Sciabola is a scholar working on Computational Theory and Mathematics, Biological Psychiatry, Molecular Biology, Spectroscopy and Pharmacology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Protein Structure and Dynamics (10 papers), Machine Learning in Materials Science (6 papers), Receptor Mechanisms and Signaling (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Analytical Chemistry and Chromatography (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Computational Theory and Mathematics (613 citations), Molecular Biology (1.1k citations), Pharmacology (75 citations), Organic Chemistry (240 citations) and Pharmaceutical Science (51 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, Francesca Perruccio, Jonathan Mason, Robert V. Stanton, Gianni De Fabritiis, Miha Škalič, Davide Sabbadin and Boris Sattarov. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Nucleic Acids Research, Scientific Reports 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026