Éric Ducas

843 citations
14 papers · 202 indexed · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Platelet Disorders and Treatments 3
    • Blood groups and transfusion 2
    • Erythropoietin and Anemia Treatment 2
    • Blood transfusion and management 5

Éric Ducas

13 papers receiving 201 citations

Peers

Éric Ducas
Comparison fields: 5 of 60
  • Infectious Diseases 80
  • Immunology 85
  • Hematology 31
  • Biochemistry 16
  • Modeling and Simulation 6
Replace Mélia Magnen with:
Mélia Magnen United States
Jason K. Burris United States
Mads Delbo Larsen Netherlands
Prashant V. Shinde Germany
Thure Mors Haunstrup Denmark
Jens Bauer Germany
Wenqing Le China
Tatjana Bilich Germany
Barbara Baronio Italy
Daniela Stokmaier Switzerland
Éric Ducas relative to Mélia Magnen United States Mélia Magnen's profile →
Citations per field
00.5×3.5×
Mélia Magnen · 1×
Citations per year

Countries citing papers authored by Éric Ducas

Since Specialization
Citations

This map shows the geographic impact of Éric Ducas'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 Éric Ducas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Ducas more than expected).

Fields of papers citing papers by Éric Ducas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Ducas. 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 Éric Ducas. The network helps show where Éric Ducas may publish in the future.

Co-authors

The 25 scholars most cited alongside Éric Ducas, 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 Éric Ducas Line = papers co-authored together Éric Ducas links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202164
2 200754
3 202221
4 200819
5 20249
6 20149
7 20166
8 20095
9 20135
10 20184
11 20193
12 20082
13 20221
14 20190

About Éric Ducas

Éric Ducas is a scholar working on Hematology, Biochemistry, Infectious Diseases, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 202 indexed citations. Recurring topics across this work include Blood transfusion and management (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Platelet Disorders and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers), Blood groups and transfusion (2 papers), Erythropoietin and Anemia Treatment (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Infectious Diseases (80 citations), Immunology (85 citations), Hematology (31 citations), Biochemistry (16 citations) and Modeling and Simulation (6 citations). Éric Ducas has collaborated with scholars based in Canada and United States. Frequent co-authors include Nathalie Dussault, Louis Thibault, Sonia Néron, Annie Roy, Geneviève Côté, Nicolas Pineault, Annemarie Laumaea, Marc Cloutier, Guillaume Beaudoin-Bussières and Jonathan Richard. Their work appears in journals such as Vox Sanguinis, Transfusion, Cell Reports, Cell Reports Medicine and Journal of Clinical Microbiology.

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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