Denis L’Abbé
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
-
- Platelet Disorders and Treatments 4
- Blood groups and transfusion 3
- Co-authors
- Shi‐Hsiang Shen (4 shared papers)Francine Décary (3 shared papers)Yves Durocher (11 shared papers)Meiqun Wu (2 shared papers)Normand Jolicoeur (2 shared papers)Pascal Chartrand (3 shared papers)Zhenbao Yu (2 shared papers)Mindy Goldman (2 shared papers)
- Journals
- mAbs (3 papers)Transfusion Medicine (2 papers)Scientific Reports (2 papers)Human Immunology (2 papers)Neoplasia (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Denis L’Abbé
23 papers receiving 712 citations
Peers
Comparison fields: 5 of 74
- Hematology 195
- Cancer Research 144
- Immunology 122
- Molecular Biology 342
- Genetics 123
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 136 | |
| 2 | 1992 | 116 | |
| 3 | 2000 | 89 | |
| 4 | 2011 | 69 | |
| 5 | 1991 | 67 | |
| 6 | 2020 | 53 | |
| 7 | 2005 | 33 | |
| 8 | 2013 | 30 | |
| 9 | 2018 | 27 | |
| 10 | 1992 | 20 | |
| 11 | 2012 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 1994 | 16 | |
| 14 | 1989 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 5 | |
| 20 | 1991 | 3 |
About Denis L’Abbé
Denis L’Abbé is a scholar working on Infectious Diseases, Hematology, Molecular Biology, Genetics and Immunology, having authored 23 papers that have together received 752 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 (4 papers), Blood groups and transfusion (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), RNA Interference and Gene Delivery (3 papers), Enzyme function and inhibition (3 papers) and Polyamine Metabolism and Applications (3 papers). The work is most often cited by research in Hematology (195 citations), Cancer Research (144 citations), Immunology (122 citations), Molecular Biology (342 citations) and Genetics (123 citations). Denis L’Abbé has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Shi‐Hsiang Shen, Francine Décary, Yves Durocher, Meiqun Wu, Normand Jolicoeur, Pascal Chartrand, Zhenbao Yu, Mindy Goldman, Denis Banville and Patrice Bouchard. Their work appears in journals such as mAbs, Transfusion Medicine, Scientific Reports, Human Immunology and Neoplasia.
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.