David Simoncini
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Biochemical and Structural Characterization
Papers in
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- Protein Structure and Dynamics 19
- RNA and protein synthesis mechanisms 2
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- Metaheuristic Optimization Algorithms Research 5
- Evolutionary Algorithms and Applications 1
- Co-authors
- Kam Y. J. Zhang (12 shared papers)Thomas Schiex (12 shared papers)Sophie Barbe (8 shared papers)Jeremy R. H. Tame (3 shared papers)Arnout R. D. Voet (4 shared papers)Christine Addy (2 shared papers)Hiroki Noguchi (2 shared papers)Francois Berenger (3 shared papers)
In The Last Decade
David Simoncini
25 papers receiving 453 citations
Peers
Comparison fields: 5 of 36
- Molecular Biology 298
- Health Informatics 5
- Artificial Intelligence 64
- Biomaterials 19
- Computational Theory and Mathematics 22
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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 109 | |
| 2 | 2015 | 48 | |
| 3 | 2012 | 34 | |
| 4 | 2018 | 32 | |
| 5 | 2021 | 30 | |
| 6 | 2013 | 21 | |
| 7 | 2011 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2006 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2007 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2009 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2012 | 5 | |
| 20 | 2018 | 5 |
About David Simoncini
David Simoncini is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Genetics and Hematology, having authored 27 papers that have together received 457 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), Metaheuristic Optimization Algorithms Research (5 papers), RNA and protein synthesis mechanisms (2 papers), Constraint Satisfaction and Optimization (2 papers), Evolution and Genetic Dynamics (2 papers), Evolutionary Algorithms and Applications (1 paper), Electrical and Bioimpedance Tomography (1 paper) and Advanced Graph Theory Research (1 paper). The work is most often cited by research in Molecular Biology (298 citations), Health Informatics (5 citations), Artificial Intelligence (64 citations), Biomaterials (19 citations) and Computational Theory and Mathematics (22 citations). David Simoncini has collaborated with scholars based in France, Japan and Belgium. Frequent co-authors include Kam Y. J. Zhang, Thomas Schiex, Sophie Barbe, Jeremy R. H. Tame, Arnout R. D. Voet, Christine Addy, Hiroki Noguchi, Francois Berenger, Sebástien Vérel and Daiki Terada. Their work appears in journals such as Proteins Structure Function and Bioinformatics, PLoS ONE, Bioinformatics, F1000Research and Leukemia Research.
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.