Aurélien Rizk
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Biophysics top 5%
Papers in ⓘ
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- Cell Image Analysis Techniques 2
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- Neuropeptides and Animal Physiology 2
- Co-authors
- Constance Hammond (1 shared paper)Jean‐Michel Deniau (1 shared paper)Jean Féger (1 shared paper)Philipp Berger (5 shared papers)Maysam Mansouri (4 shared papers)François Fages (5 shared papers)Sylvain Soliman (3 shared papers)Grégory Batt (2 shared papers)
- Journals
- Theoretical Computer Science (3 papers)Scientific Reports (2 papers)Molecular Pharmacology (2 papers)Molecular Systems Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Aurélien Rizk
14 papers receiving 608 citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 216
- Biophysics 49
- Neurology 116
- Molecular Biology 359
- Aging 6
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 | 175 | |
| 2 | 1978 | 148 | |
| 3 | 2016 | 86 | |
| 4 | 2012 | 58 | |
| 5 | 2009 | 53 | |
| 6 | 2010 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2020 | 13 | |
| 9 | 2008 | 10 | |
| 10 | 2010 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2010 | 0 |
About Aurélien Rizk
Aurélien Rizk is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Spectroscopy, having authored 16 papers that have together received 620 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Gene Regulatory Network Analysis (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cell Image Analysis Techniques (2 papers), Neuropeptides and Animal Physiology (2 papers), CRISPR and Genetic Engineering (2 papers) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (216 citations), Biophysics (49 citations), Neurology (116 citations), Molecular Biology (359 citations) and Aging (6 citations). Aurélien Rizk has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Constance Hammond, Jean‐Michel Deniau, Jean Féger, Philipp Berger, Maysam Mansouri, François Fages, Sylvain Soliman, Grégory Batt, Milica Bugarski and Grégory Paul. Their work appears in journals such as Theoretical Computer Science, Scientific Reports, Molecular Pharmacology, Molecular Systems Biology and Nature Communications.
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.