Daniel Chénier
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Biochemical Acid Research Studies
Papers in
-
- Aluminum toxicity and tolerance in plants and animals 5
- Plant Stress Responses and Tolerance 2
-
- Enzyme Structure and Function 4
- Co-authors
- Vasu D. Appanna (8 shared papers)Robin Bériault (7 shared papers)Robert Hamel (6 shared papers)Ryan J. Mailloux (6 shared papers)Ranji Singh (4 shared papers)Joseph Lemire (3 shared papers)Helen A. Joly (1 shared paper)Ravail Singh (1 shared paper)
- Journals
- PLoS ONE (2 papers)BioMetals (1 paper)Extremophiles (1 paper)Journal of Biological Chemistry (1 paper)Electrophoresis (1 paper)
- Partner nations
- CanadaRussiaTajikistan
In The Last Decade
Daniel Chénier
9 papers receiving 601 citations
Peers
Comparison fields: 5 of 94
- Biochemistry 71
- Clinical Biochemistry 30
- Molecular Biology 309
- Health, Toxicology and Mutagenesis 62
- Molecular Medicine 21
Countries citing papers authored by Daniel Chénier
This map shows the geographic impact of Daniel Chénier'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 Daniel Chénier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Chénier more than expected).
Fields of papers citing papers by Daniel Chénier
This network shows the impact of papers produced by Daniel Chénier. 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 Daniel Chénier. The network helps show where Daniel Chénier may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Chénier, 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 | 2007 | 275 | |
| 2 | 2004 | 79 | |
| 3 | 2006 | 56 | |
| 4 | 2009 | 53 | |
| 5 | 2005 | 42 | |
| 6 | 2008 | 41 | |
| 7 | 2005 | 41 | |
| 8 | 2005 | 25 | |
| 9 | Aluminum toxicity in Pseudomonas fluorescens: the modulation of Fe-proteins and metabolic networks | 2004 | 1 |
About Daniel Chénier
Daniel Chénier is a scholar working on Plant Science, Materials Chemistry, Molecular Biology, Environmental Chemistry and Nutrition and Dietetics, having authored 9 papers that have together received 613 indexed citations. Recurring topics across this work include Aluminum toxicity and tolerance in plants and animals (5 papers), Enzyme Structure and Function (4 papers), Amino Acid Enzymes and Metabolism (2 papers), Plant Stress Responses and Tolerance (2 papers), Arsenic contamination and mitigation (2 papers), Vitamin C and Antioxidants Research (1 paper), Mitochondrial Function and Pathology (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Biochemistry (71 citations), Clinical Biochemistry (30 citations), Molecular Biology (309 citations), Health, Toxicology and Mutagenesis (62 citations) and Molecular Medicine (21 citations). Daniel Chénier has collaborated with scholars based in Canada, Russia and Tajikistan. Frequent co-authors include Vasu D. Appanna, Robin Bériault, Robert Hamel, Ryan J. Mailloux, Ranji Singh, Joseph Lemire, Helen A. Joly, Ravail Singh, Mathurin Baquié and S. V. Kalyuzhnyi. Their work appears in journals such as PLoS ONE, BioMetals, Extremophiles, Journal of Biological Chemistry and Electrophoresis.
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.