Aurélien Rizk
Impact in
-
- Neuroscience and Neuropharmacology Research
- Software top 10%
Papers in
-
- Gene Regulatory Network Analysis 9
- Receptor Mechanisms and Signaling 5
- Microbial Metabolic Engineering and Bioproduction 3
- CRISPR and Genetic Engineering 2
- Biomedical Text Mining and Ontologies 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- François Fages (8 shared papers)Sylvain Soliman (4 shared papers)Grégory Batt (3 shared papers)Jean Féger (1 shared paper)Jean‐Michel Deniau (1 shared paper)Constance Hammond (1 shared paper)Philipp Berger (5 shared papers)Maysam Mansouri (4 shared papers)
- Journals
- Theoretical Computer Science (3 papers)Molecular Pharmacology (2 papers)Scientific Reports (2 papers)Discrete Applied Mathematics (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Aurélien Rizk
17 papers receiving 829 citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 229
- Software 42
- Neurology 130
- Biophysics 53
- Computational Theory and Mathematics 143
Countries citing papers authored by Aurélien Rizk
This map shows the geographic impact of Aurélien Rizk'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 Aurélien Rizk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Rizk more than expected).
Fields of papers citing papers by Aurélien Rizk
This network shows the impact of papers produced by Aurélien Rizk. 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 Aurélien Rizk. The network helps show where Aurélien Rizk may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Rizk, 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 | 183 | |
| 2 | 1978 | 169 | |
| 3 | 2016 | 95 | |
| 4 | 2009 | 83 | |
| 5 | 2008 | 75 | |
| 6 | 2012 | 67 | |
| 7 | 2010 | 43 | |
| 8 | 2019 | 29 | |
| 9 | 2007 | 27 | |
| 10 | 2008 | 26 | |
| 11 | 2009 | 18 | |
| 12 | 2010 | 15 | |
| 13 | 2015 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2017 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2010 | 0 |
About Aurélien Rizk
Aurélien Rizk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biophysics, Cell Biology and Spectroscopy, having authored 18 papers that have together received 853 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Receptor Mechanisms and Signaling (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), CRISPR and Genetic Engineering (2 papers), Biomedical Text Mining and Ontologies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (229 citations), Software (42 citations), Neurology (130 citations), Biophysics (53 citations) and Computational Theory and Mathematics (143 citations). Aurélien Rizk has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include François Fages, Sylvain Soliman, Grégory Batt, Jean Féger, Jean‐Michel Deniau, Constance Hammond, Philipp Berger, Maysam Mansouri, Pietro Incardona and Ivo F. Sbalzarini. Their work appears in journals such as Theoretical Computer Science, Molecular Pharmacology, Scientific Reports, Discrete Applied Mathematics and Molecular Systems 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.