Sébastien Lemieux
- Immunology top 2%
- Immunotherapy and Immune Responses 16
- Immune Cell Function and Interaction 6
- Hematology top 1%
- Acute Myeloid Leukemia Research 20
- Molecular Biology top 2%
- vaccines and immunoinformatics approaches 12
- RNA and protein synthesis mechanisms 11
- Protein Degradation and Inhibitors 9
- RNA modifications and cancer 9
- RNA Research and Splicing 7
- Oncology top 5%
- Infectious Diseases top 2%
- Co-authors
- Claude PerreaultPierre ThibaultPatrick GendronGuy SauvageauJosée HébertMathieu CourcellesMarie‐Pierre HardyFrançois Major
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Sébastien Lemieux
96 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Immunology 1.4k
- Hematology 703
- Molecular Biology 3.4k
- Oncology 932
- Infectious Diseases 579
Countries citing papers authored by Sébastien Lemieux
This map shows the geographic impact of Sébastien Lemieux'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 Sébastien Lemieux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Lemieux more than expected).
Fields of papers citing papers by Sébastien Lemieux
This network shows the impact of papers produced by Sébastien Lemieux. 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 Sébastien Lemieux. The network helps show where Sébastien Lemieux may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sébastien Lemieux, 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 | 2022 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 115 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 52 | |
| 9 | 2020 | 35 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 13 | |
| 12 | Noncoding regions are the main source of targetable tumor-specific antigensbreakdown → | 2018 | 335 |
| 13 | 2017 | 28 | |
| 14 | 2016 | 115 | |
| 15 | 2016 | 122 | |
| 16 | 2014 | 51 | |
| 17 | 2014 | 6 | |
| 18 | Distributed Operations Planning in the Lumber Supply Chain: Models and Coordination | 2009 | 17 |
| 19 | 2008 | 22 | |
| 20 | 2006 | 11 |
About Sébastien Lemieux
Sébastien Lemieux is a scholar working on Hematology, Computational Mathematics and Immunology, having authored 96 papers that have together received 5.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Immunotherapy and Immune Responses (16 papers), vaccines and immunoinformatics approaches (12 papers), RNA and protein synthesis mechanisms (11 papers), Protein Degradation and Inhibitors (9 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (1.4k citations), Hematology (703 citations) and Molecular Biology (3.4k citations). Sébastien Lemieux has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Claude Perreault, Pierre Thibault, Patrick Gendron, Guy Sauvageau, Josée Hébert, Mathieu Courcelles, Marie‐Pierre Hardy, François Major, Geneviève Boucher and Jean‐Philippe Laverdure. Their work appears in journals such as Blood, Frontiers in Immunology, Leukemia, Nucleic Acids Research and RNA.
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.