Luc Canard
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
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- Enzyme Structure and Function
Papers in
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- Protein Structure and Dynamics 5
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
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- Enzyme Structure and Function 4
- Co-authors
- J.-P. Mornon (2 shared papers)Isabelle Callebaut (2 shared papers)Patrick Durand (1 shared paper)Bernard Henrissat (1 shared paper)Anne Poupon (1 shared paper)Gilles Labesse (1 shared paper)Jacques Chomilier (1 shared paper)Luis Enrique Donate (2 shared papers)
- Journals
- Computer applications in the biosciences (1 paper)Cellular and Molecular Life Sciences (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Protein Science (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Luc Canard
9 papers receiving 674 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 485
- Materials Chemistry 168
- Biological Psychiatry 8
- Cell Biology 51
- Virology 14
Countries citing papers authored by Luc Canard
This map shows the geographic impact of Luc Canard'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 Luc Canard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Canard more than expected).
Fields of papers citing papers by Luc Canard
This network shows the impact of papers produced by Luc Canard. 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 Luc Canard. The network helps show where Luc Canard may publish in the future.
Co-authors
The 25 scholars most cited alongside Luc Canard, 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 | 1997 | 414 | |
| 2 | 1996 | 87 | |
| 3 | 1997 | 61 | |
| 4 | 2015 | 39 | |
| 5 | 2017 | 39 | |
| 6 | 2003 | 22 | |
| 7 | 1997 | 18 | |
| 8 | Analysis, clustering and prediction of the conformation of short and medium size loops connecting regular secondary structures. | 1996 | 5 |
| 9 | 2022 | 1 |
About Luc Canard
Luc Canard is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Information Systems and Management and Oncology, having authored 9 papers that have together received 686 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (4 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Molecular spectroscopy and chirality (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Molecular Biology (485 citations), Materials Chemistry (168 citations), Biological Psychiatry (8 citations), Cell Biology (51 citations) and Virology (14 citations). Luc Canard has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include J.-P. Mornon, Isabelle Callebaut, Patrick Durand, Bernard Henrissat, Anne Poupon, Gilles Labesse, Jacques Chomilier, Luis Enrique Donate, Tom L. Blundell and Tom L. Blundell. Their work appears in journals such as Computer applications in the biosciences, Cellular and Molecular Life Sciences, Proteins Structure Function and Bioinformatics, Protein Science and Nature Reviews Drug Discovery.
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.