Yannick Doyon
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 28
- Genomics and Chromatin Dynamics 9
- Epigenetics and DNA Methylation 6
- RNA Interference and Gene Delivery 6
- Advanced biosensing and bioanalysis techniques 5
- Ubiquitin and proteasome pathways 5
- Genetics 12
- Virus-based gene therapy research 10
- Co-authors
- Jacques CôtéPhilip D. GregorySong TanWilliam SelleckJeffrey C. MillerWilliam S. LaneEdward J. RebarFyodor D. Urnov
- Journals
- Blood (7 papers)Molecular and Cellular Biology (5 papers)Molecular Cell (4 papers)Nature Methods (3 papers)Genome Research (3 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Yannick Doyon
40 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Business and International Management 182
- Aging 122
- Molecular Biology 4.6k
- Genetics 1.2k
- Cell Biology 492
Countries citing papers authored by Yannick Doyon
This map shows the geographic impact of Yannick Doyon'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 Yannick Doyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannick Doyon more than expected).
Fields of papers citing papers by Yannick Doyon
This network shows the impact of papers produced by Yannick Doyon. 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 Yannick Doyon. The network helps show where Yannick Doyon may publish in the future.
Co-authors
The 25 scholars most cited alongside Yannick Doyon, 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 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 22 | |
| 4 | 2020 | 54 | |
| 5 | 2019 | 50 | |
| 6 | 2018 | 125 | |
| 7 | 2017 | 110 | |
| 8 | 2017 | 4 | |
| 9 | 2016 | 12 | |
| 10 | 2015 | 48 | |
| 11 | 2013 | 111 | |
| 12 | 2012 | 101 | |
| 13 | 2011 | 18 | |
| 14 | 2010 | 306 | |
| 15 | 2009 | 146 | |
| 16 | 2008 | 143 | |
| 17 | Heritable targeted gene disruption in zebrafish using designed zinc-finger nucleases Hit paper breakdown → | 2008 | 681 |
| 18 | ING Tumor Suppressor Proteins Are Critical Regulators of Chromatin Acetylation Required for Genome Expression and Perpetuation Hit paper breakdown → | 2006 | 512 |
| 19 | 2004 | 313 | |
| 20 | 2002 | 20 |
About Yannick Doyon
Yannick Doyon is a scholar working on Molecular Biology, Genetics, Biotechnology, Plant Science and Oncology, having authored 43 papers that have together received 5.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (28 papers), Virus-based gene therapy research (10 papers), Genomics and Chromatin Dynamics (9 papers), Epigenetics and DNA Methylation (6 papers), RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Ubiquitin and proteasome pathways (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Business and International Management (182 citations), Aging (122 citations), Molecular Biology (4.6k citations), Genetics (1.2k citations) and Cell Biology (492 citations). Yannick Doyon has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jacques Côté, Philip D. Gregory, Song Tan, William Selleck, Jeffrey C. Miller, William S. Lane, Edward J. Rebar, Fyodor D. Urnov, Michael C. Holmes and Christelle Cayrou. Their work appears in journals such as Blood, Molecular and Cellular Biology, Molecular Cell, Nature Methods and Genome Research.
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.