Simone Sciabola
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 10%
- 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 ⓘ
-
- Computational Drug Discovery Methods 23
- Co-authors
- Gabriele Cruciani (5 shared papers)Massimo Baroni (5 shared papers)Emanuele Carosati (3 shared papers)Francesca Perruccio (2 shared papers)Jonathan Mason (2 shared papers)Robert V. Stanton (8 shared papers)Gianni De Fabritiis (4 shared papers)Miha Škalič (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (9 papers)Journal of Medicinal Chemistry (3 papers)Nucleic Acids Research (3 papers)Scientific Reports (2 papers)Nucleic Acid Therapeutics (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Simone Sciabola
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 613
- Molecular Biology 1.1k
- Pharmacology 75
- Organic Chemistry 240
- Pharmaceutical Science 51
Countries citing papers authored by Simone Sciabola
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
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.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 340 | |
| 2 | 2004 | 194 | |
| 3 | 2014 | 114 | |
| 4 | 2019 | 92 | |
| 5 | 2012 | 87 | |
| 6 | 2016 | 85 | |
| 7 | 2014 | 78 | |
| 8 | 2009 | 64 | |
| 9 | 2019 | 48 | |
| 10 | 2023 | 46 | |
| 11 | 2018 | 44 | |
| 12 | 2005 | 44 | |
| 13 | 2008 | 41 | |
| 14 | 2008 | 31 | |
| 15 | 2023 | 31 | |
| 16 | 2021 | 30 | |
| 17 | 2005 | 28 | |
| 18 | 2007 | 26 | |
| 19 | 2016 | 23 | |
| 20 | 2006 | 22 |
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.