Simone Daminelli
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 8
- Co-authors
- V. Joachim Haupt (8 shared papers)Michael Schroeder (8 shared papers)Sebastian Salentin (4 shared papers)Claudio Durán (1 shared paper)Josephine Maria Thomas (1 shared paper)Carlo Vittorio Cannistraci (1 shared paper)Melissa F. Adasme (1 shared paper)Jörg C. Heinrich (1 shared paper)
In The Last Decade
Simone Daminelli
11 papers receiving 465 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 242
- Molecular Biology 298
- Pharmacology 36
- Pharmacology 49
- Toxicology 7
Countries citing papers authored by Simone Daminelli
This map shows the geographic impact of Simone Daminelli'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 Daminelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Daminelli more than expected).
Fields of papers citing papers by Simone Daminelli
This network shows the impact of papers produced by Simone Daminelli. 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 Daminelli. The network helps show where Simone Daminelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Daminelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 127 | |
| 2 | 2014 | 114 | |
| 3 | 2017 | 49 | |
| 4 | 2017 | 47 | |
| 5 | 2012 | 45 | |
| 6 | 2016 | 28 | |
| 7 | 2010 | 26 | |
| 8 | 2013 | 21 | |
| 9 | 2016 | 14 | |
| 10 | 2010 | 3 | |
| 11 | 2019 | 1 |
About Simone Daminelli
Simone Daminelli is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 475 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers), Gene Regulatory Network Analysis (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (242 citations), Molecular Biology (298 citations), Pharmacology (36 citations), Pharmacology (49 citations) and Toxicology (7 citations). Simone Daminelli has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include V. Joachim Haupt, Michael Schroeder, Sebastian Salentin, Claudio Durán, Josephine Maria Thomas, Carlo Vittorio Cannistraci, Melissa F. Adasme, Jörg C. Heinrich, Yixin Zhang and Janez Konc. Their work appears in journals such as PLoS ONE, Briefings in Bioinformatics, Journal of Chromatography A, Scientific Reports and Progress in Biophysics and Molecular Biology.
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.