Marc‐André D’Aoust
Impact in
- Biotechnology top 0.2%
- Transgenic Plants and Applications
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
Papers in
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- Transgenic Plants and Applications 33
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- Plant tissue culture and regeneration 13
- Glycosylation and Glycoproteins Research 5
- CRISPR and Genetic Engineering 5
- Biochemical and Structural Characterization 3
- Co-authors
- Manon Couture (9 shared papers)Louis‐P. Vézina (5 shared papers)George P. Lomonossoff (2 shared papers)Nathalie Landry (8 shared papers)Sonia Trépanier (7 shared papers)Pierre‐Olivier Lavoie (19 shared papers)Frank Sainsbury (9 shared papers)Serge Yelle (3 shared papers)
In The Last Decade
Marc‐André D’Aoust
40 papers receiving 1.9k citations
Marc‐André D’Aoust's Hit Papers
Peers
Comparison fields: 5 of 81
- Biotechnology 1.3k
- Immunology 430
- Infectious Diseases 359
- Molecular Biology 1.1k
- Plant Science 602
Countries citing papers authored by Marc‐André D’Aoust
This map shows the geographic impact of Marc‐André D’Aoust'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 Marc‐André D’Aoust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc‐André D’Aoust more than expected).
Fields of papers citing papers by Marc‐André D’Aoust
This network shows the impact of papers produced by Marc‐André D’Aoust. 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 Marc‐André D’Aoust. The network helps show where Marc‐André D’Aoust may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc‐André D’Aoust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 269 | |
| 2 | Phase 1 randomized trial of a plant-derived virus-like particle vaccine for COVID-19 Hit paper breakdown → | 2021 | 221 |
| 3 | 2008 | 212 | |
| 4 | 1999 | 159 | |
| 5 | 2016 | 147 | |
| 6 | 2009 | 118 | |
| 7 | 2015 | 79 | |
| 8 | 2014 | 78 | |
| 9 | 2007 | 71 | |
| 10 | 2011 | 70 | |
| 11 | 2008 | 67 | |
| 12 | 2013 | 50 | |
| 13 | 2009 | 42 | |
| 14 | 2006 | 37 | |
| 15 | 2013 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2019 | 30 | |
| 18 | 2015 | 26 | |
| 19 | 2008 | 21 | |
| 20 | 2021 | 20 |
About Marc‐André D’Aoust
Marc‐André D’Aoust is a scholar working on Biotechnology, Molecular Biology, Plant Science, Immunology and Infectious Diseases, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (33 papers), Plant tissue culture and regeneration (13 papers), Plant Virus Research Studies (9 papers), Toxin Mechanisms and Immunotoxins (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Glycosylation and Glycoproteins Research (5 papers), CRISPR and Genetic Engineering (5 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Biotechnology (1.3k citations), Immunology (430 citations), Infectious Diseases (359 citations), Molecular Biology (1.1k citations) and Plant Science (602 citations). Marc‐André D’Aoust has collaborated with scholars based in Canada, France and Australia. Frequent co-authors include Manon Couture, Louis‐P. Vézina, George P. Lomonossoff, Nathalie Landry, Sonia Trépanier, Pierre‐Olivier Lavoie, Frank Sainsbury, Serge Yelle, Binh Nguyen‐Quoc and Dominique Michaud. Their work appears in journals such as Plant Biotechnology Journal, Vaccine, Frontiers in Plant Science, Biotechnology Journal and The FASEB Journal.
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.