Daniël Charlier
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 22
- Genetics top 1%
- Bacterial Genetics and Biotechnology 62
- Endocrinology top 2%
- Molecular Medicine top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 35
- Polyamine Metabolism and Applications 10
- Biochemical and Molecular Research 9
- DNA and Nucleic Acid Chemistry 8
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- Enzyme Structure and Function 37
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- Bacteriophages and microbial interactions 26
- Co-authors
- Nicolas GlansdorffIndra BervoetsEveline PeetersRaymond CuninAndré PierardDaniel GigotMartine RooversDominique Maes
- Cited by
- BiochemistryGeneticsEndocrinology
- Journals
- Journal of Molecular Biology (17 papers)Nucleic Acids Research (12 papers)Journal of Bacteriology (9 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Daniël Charlier
119 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 128
- Biochemistry 406
- Genetics 1.5k
- Endocrinology 257
- Molecular Medicine 248
- Molecular Biology 2.7k
Countries citing papers authored by Daniël Charlier
This map shows the geographic impact of Daniël Charlier'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 Daniël Charlier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniël Charlier more than expected).
Fields of papers citing papers by Daniël Charlier
This network shows the impact of papers produced by Daniël Charlier. 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 Daniël Charlier. The network helps show where Daniël Charlier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniël Charlier, 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 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2019 | 71 | |
| 10 | 2019 | 11 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 106 | |
| 13 | 2018 | 33 | |
| 14 | 2018 | 48 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 23 | |
| 17 | 2015 | 16 | |
| 18 | 2009 | 23 | |
| 19 | Transcriptional regulation of arginine transport genes in Escherichia coli | 2008 | 1 |
| 20 | 1995 | 26 |
About Daniël Charlier
Daniël Charlier is a scholar working on Biochemistry, Genetics and Molecular Biology, having authored 120 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (62 papers), Enzyme Structure and Function (37 papers), RNA and protein synthesis mechanisms (35 papers), Bacteriophages and microbial interactions (26 papers), Amino Acid Enzymes and Metabolism (22 papers), Polyamine Metabolism and Applications (10 papers), Biochemical and Molecular Research (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Biochemistry (406 citations), Genetics (1.5k citations) and Endocrinology (257 citations). Daniël Charlier has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Nicolas Glansdorff, Indra Bervoets, Eveline Peeters, Raymond Cunin, André Pierard, Daniel Gigot, Martine Roovers, Dominique Maes, Phu Nguyen Le Minh and Remy Loris. Their work appears in journals such as Journal of Molecular Biology, Nucleic Acids Research, Journal of Bacteriology, Gene and Molecular Microbiology.
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.