Luc Gaudreau
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Genomics and Chromatin Dynamics 29
- Epigenetics and DNA Methylation 14
- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 7
- CRISPR and Genetic Engineering 5
-
- Tuberculosis Research and Epidemiology 9
- Co-authors
- Nicolas GévryLiette LaflammeFrançois RobertSébastien RodrigueBenoît GuillemetteRiccardo ManganelliPierre‐Étienne JacquesAmy Svotelis
- Journals
- Nucleic Acids Research (5 papers)Scientific Reports (3 papers)Biochemistry and Cell Biology (3 papers)Journal of Bacteriology (3 papers)PLoS ONE (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Luc Gaudreau
52 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 2.3k
- Infectious Diseases 483
- Molecular Medicine 96
- Genetics 419
- Epidemiology 478
Countries citing papers authored by Luc Gaudreau
This map shows the geographic impact of Luc Gaudreau'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 Gaudreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Gaudreau more than expected).
Fields of papers citing papers by Luc Gaudreau
This network shows the impact of papers produced by Luc Gaudreau. 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 Gaudreau. The network helps show where Luc Gaudreau may publish in the future.
Co-authors
The 25 scholars most cited alongside Luc Gaudreau, 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 | 2023 | 0 | |
| 2 | 2017 | 28 | |
| 3 | 2016 | 7 | |
| 4 | 2016 | 5 | |
| 5 | 2014 | 37 | |
| 6 | 2013 | 67 | |
| 7 | 2010 | 18 | |
| 8 | 2010 | 81 | |
| 9 | 2009 | 109 | |
| 10 | 2009 | 11 | |
| 11 | 2009 | 9 | |
| 12 | 2006 | 32 | |
| 13 | 2006 | 23 | |
| 14 | 2006 | 6 | |
| 15 | 2005 | 31 | |
| 16 | 2004 | 172 | |
| 17 | 2002 | 82 | |
| 18 | 2001 | 179 | |
| 19 | 1998 | 33 | |
| 20 | 1998 | 23 |
About Luc Gaudreau
Luc Gaudreau is a scholar working on Molecular Biology, Infectious Diseases, Microbiology, Toxicology and Genetics, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (29 papers), Epigenetics and DNA Methylation (14 papers), RNA Research and Splicing (11 papers), Tuberculosis Research and Epidemiology (9 papers), RNA and protein synthesis mechanisms (9 papers), Mycobacterium research and diagnosis (8 papers), RNA modifications and cancer (7 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Infectious Diseases (483 citations), Molecular Medicine (96 citations), Genetics (419 citations) and Epidemiology (478 citations). Luc Gaudreau has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Nicolas Gévry, Liette Laflamme, François Robert, Sébastien Rodrigue, Benoît Guillemette, Riccardo Manganelli, Pierre‐Étienne Jacques, Amy Svotelis, Maud Marques and Mark Ptashne. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Biochemistry and Cell Biology, Journal of Bacteriology and PLoS ONE.
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.