Étienne Gagnon
- Software top 1%
- Immunology top 1%
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 7
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 6
- Signal Processing top 2%
- Cell Biology top 2%
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- Logic, programming, and type systems 7
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- CAR-T cell therapy research 6
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- Software Engineering Research 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Michel DesjardinsLaurie HendrenChristiane RondeauSophie DuclosVijay SundaresanRaja Vallée-RaiPatrick LamKai W. Wucherpfennig
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Étienne Gagnon
39 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Software 450
- Immunology 1.7k
- Hardware and Architecture 229
- Signal Processing 356
- Cell Biology 538
Countries citing papers authored by Étienne Gagnon
This map shows the geographic impact of Étienne Gagnon'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 Étienne Gagnon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Étienne Gagnon more than expected).
Fields of papers citing papers by Étienne Gagnon
This network shows the impact of papers produced by Étienne Gagnon. 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 Étienne Gagnon. The network helps show where Étienne Gagnon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Étienne Gagnon, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 34 | |
| 6 | 2017 | 17 | |
| 7 | Parkinson’s Disease-Related Proteins PINK1 and Parkin Repress Mitochondrial Antigen Presentationbreakdown → | 2016 | 431 |
| 8 | 2016 | 19 | |
| 9 | 2013 | 112 | |
| 10 | 2012 | 99 | |
| 11 | 2012 | 65 | |
| 12 | 2012 | 74 | |
| 13 | 2010 | 117 | |
| 14 | Prévention du déréférencement de références nulles dans un langage à objets | 2009 | 0 |
| 15 | 2008 | 351 | |
| 16 | 2005 | 89 | |
| 17 | 2005 | 13 | |
| 18 | Phagosomes are competent organelles for antigen cross-presentationbreakdown → | 2003 | 566 |
| 19 | Endoplasmic Reticulum-Mediated Phagocytosis Is a Mechanism of Entry into Macrophagesbreakdown → | 2002 | 537 |
| 20 | The Phagosome Proteomebreakdown → | 2001 | 584 |
About Étienne Gagnon
Étienne Gagnon is a scholar working on Hardware and Architecture, Immunology and Software, having authored 42 papers that have together received 4.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (7 papers), Logic, programming, and type systems (7 papers), CAR-T cell therapy research (6 papers), Parallel Computing and Optimization Techniques (6 papers), Software Engineering Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Software (450 citations), Immunology (1.7k citations) and Hardware and Architecture (229 citations). Étienne Gagnon has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Michel Desjardins, Laurie Hendren, Christiane Rondeau, Sophie Duclos, Vijay Sundaresan, Raja Vallée-Rai, Patrick Lam, Kai W. Wucherpfennig, Annie Laplante and John Bergeron. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.