Denis L’Abbé
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Interference and Gene Delivery 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Protein Tyrosine Phosphatases 2
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- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
- Co-authors
- Shi‐Hsiang Shen (4 shared papers)Francine Décary (2 shared papers)Yves Durocher (11 shared papers)Zhenbao Yu (2 shared papers)Normand Jolicoeur (2 shared papers)Meiqun Wu (2 shared papers)Denis Banville (2 shared papers)Darrell D. Mousseau (1 shared paper)
- Journals
- Scientific Reports (2 papers)Human Immunology (2 papers)Molecular Cancer Therapeutics (1 paper)Nature Methods (1 paper)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesArgentina
In The Last Decade
Denis L’Abbé
20 papers receiving 614 citations
Peers
Comparison fields: 5 of 76
- Hematology 147
- Cancer Research 143
- Immunology 119
- Molecular Biology 328
- Immunology and Allergy 26
Countries citing papers authored by Denis L’Abbé
This map shows the geographic impact of Denis L’Abbé'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 Denis L’Abbé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis L’Abbé more than expected).
Fields of papers citing papers by Denis L’Abbé
This network shows the impact of papers produced by Denis L’Abbé. 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 Denis L’Abbé. The network helps show where Denis L’Abbé may publish in the future.
Co-authors
The 25 scholars most cited alongside Denis L’Abbé, 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 | 2008 | 126 | |
| 2 | 1992 | 94 | |
| 3 | 2000 | 84 | |
| 4 | 2011 | 63 | |
| 5 | 1991 | 53 | |
| 6 | 2020 | 42 | |
| 7 | 2005 | 31 | |
| 8 | 2013 | 28 | |
| 9 | 2018 | 24 | |
| 10 | 2012 | 17 | |
| 11 | 1994 | 16 | |
| 12 | 2020 | 13 | |
| 13 | 1989 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 1991 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Denis L’Abbé
Denis L’Abbé is a scholar working on Molecular Biology, Infectious Diseases, Hematology, Genetics and Immunology, having authored 20 papers that have together received 635 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (4 papers), Platelet Disorders and Treatments (3 papers), RNA Interference and Gene Delivery (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Protein Tyrosine Phosphatases (2 papers), Galectins and Cancer Biology (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (147 citations), Cancer Research (143 citations), Immunology (119 citations), Molecular Biology (328 citations) and Immunology and Allergy (26 citations). Denis L’Abbé has collaborated with scholars based in Canada, United States and Argentina. Frequent co-authors include Shi‐Hsiang Shen, Francine Décary, Yves Durocher, Zhenbao Yu, Normand Jolicoeur, Meiqun Wu, Denis Banville, Darrell D. Mousseau, Patrice Bouchard and Zhen Li. Their work appears in journals such as Scientific Reports, Human Immunology, Molecular Cancer Therapeutics, Nature Methods and Analytical and Bioanalytical Chemistry.
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.