David Simoncini
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
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- Enzyme Structure and Function
Papers in
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- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 3
- Genomics and Phylogenetic Studies 3
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- Enzyme Structure and Function 9
- Co-authors
- Kam Y. J. Zhang (12 shared papers)Thomas Schiex (8 shared papers)Jeremy R. H. Tame (3 shared papers)Arnout Voet (3 shared papers)Sophie Barbe (5 shared papers)Christine Addy (2 shared papers)Hiroki Noguchi (2 shared papers)Francois Berenger (3 shared papers)
In The Last Decade
David Simoncini
19 papers receiving 343 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 271
- Materials Chemistry 120
- Computational Theory and Mathematics 38
- Health Informatics 2
- Structural Biology 2
Countries citing papers authored by David Simoncini
This map shows the geographic impact of David Simoncini'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 David Simoncini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Simoncini more than expected).
Fields of papers citing papers by David Simoncini
This network shows the impact of papers produced by David Simoncini. 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 David Simoncini. The network helps show where David Simoncini may publish in the future.
Co-authors
The 25 scholars most cited alongside David Simoncini, 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 | 2014 | 99 | |
| 2 | 2012 | 34 | |
| 3 | 2015 | 34 | |
| 4 | 2018 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2013 | 21 | |
| 7 | 2011 | 16 | |
| 8 | 2019 | 13 | |
| 9 | 2024 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2011 | 6 | |
| 15 | 2018 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2012 | 2 | |
| 19 | 2024 | 1 |
About David Simoncini
David Simoncini is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Artificial Intelligence and Genetics, having authored 19 papers that have together received 343 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers), RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Computational Drug Discovery Methods (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (271 citations), Materials Chemistry (120 citations), Computational Theory and Mathematics (38 citations), Health Informatics (2 citations) and Structural Biology (2 citations). David Simoncini has collaborated with scholars based in France, Japan and Belgium. Frequent co-authors include Kam Y. J. Zhang, Thomas Schiex, Jeremy R. H. Tame, Arnout Voet, Sophie Barbe, Christine Addy, Hiroki Noguchi, Francois Berenger, Satoru Unzai and Sam‐Yong Park. Their work appears in journals such as PLoS ONE, Bioinformatics, Journal of Computational Chemistry, Protein Science and Proceedings of the National Academy of Sciences.
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.