Denis L’Abbé

895 citations
23 papers · 755 · h-index 13

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • MicroRNA in disease regulation

Papers in

Denis L’Abbé

23 papers receiving 716 citations

Peers

Denis L’Abbé
Comparison fields: 5 of 44
  • Hematology 173
  • Cancer Research 106
  • Molecular Biology 161
  • Infectious Diseases 47
  • Immunology 29
Replace Chaojiang Gu with:
Chaojiang Gu China
Manuel Garcia Albornoz United Kingdom
Rafael Henriques Jácomo Brazil
Patrizia Larghero Germany
Eduard Schulz Austria
Krista M. Heinonen Canada
Siham Boukour France
Huiping Shi China
Ayala Tovy United States
Nicholas C. Huston United States
Denis L’Abbé relative to Chaojiang Gu China Chaojiang Gu's profile →
Citations per field
00.5×2×3×4×4.7×
Chaojiang Gu · 1×
Citations per year

Countries citing papers authored by Denis L’Abbé

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Denis L’Abbé Line = papers co-authored together Denis L’Abbé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008136
2 1992116
3 200089
4 201171
5 199166
6 202053
7 200533
8 201331
9 201829
10 199219
11 201218
12 202016
13 199415
14 198913
15 202211
16 202211
17 20218
18 20228
19 20215
20 19913

About Denis L’Abbé

Denis L’Abbé is a scholar working on Infectious Diseases, Hematology, Molecular Biology, Agronomy and Crop Science and Cancer Research, having authored 23 papers that have together received 755 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Enzyme function and inhibition (3 papers), SARS-CoV-2 detection and testing (2 papers), Protein Tyrosine Phosphatases (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA Interference and Gene Delivery (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Hematology (173 citations), Cancer Research (106 citations), Molecular Biology (161 citations), Infectious Diseases (47 citations) and Immunology (29 citations). Denis L’Abbé has collaborated with scholars based in Canada, Argentina and France. Frequent co-authors include Shi‐Hsiang Shen, Pierre Chartrand, Francine Décary, Yves Durocher, Meiqun Wu, Zhenbao Yu, Denis Banville, Mindy Goldman, Darrell D. Mousseau and Yves Fortin. Their work appears in journals such as mAbs, Human Immunology, Transfusion Medicine, Scientific Reports and Nature Methods.

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.

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