Mathieu Garand

1.0k citations
32 papers · 585 · h-index 13

Impact in

Papers in

    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 5
    • T-cell and B-cell Immunology 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Signaling Pathways in Disease 3

Mathieu Garand

31 papers receiving 579 citations

Peers

Mathieu Garand
Comparison fields: 5 of 88
  • Immunology 195
  • Obstetrics and Gynecology 48
  • Hematology 68
  • Epidemiology 182
  • Infectious Diseases 97
Replace Esther Reuss with:
Esther Reuss Germany
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Mathieu Garand relative to Esther Reuss Germany Esther Reuss's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mathieu Garand

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Garand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201754
3 201954
4 201846
5 201932
6 201030
7 202028
8 202121
9 202021
10 202020
11 202020
12 201117
13 202013
14 202112
15 201310
16 200710
17 20209
18 20169
19 20218
20 20226

About Mathieu Garand

Mathieu Garand is a scholar working on Immunology, Molecular Biology, Epidemiology, Hematology and Infectious Diseases, having authored 32 papers that have together received 585 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Sepsis Diagnosis and Treatment (4 papers), Signaling Pathways in Disease (3 papers), T-cell and B-cell Immunology (3 papers), Respiratory viral infections research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Immunology (195 citations), Obstetrics and Gynecology (48 citations), Hematology (68 citations), Epidemiology (182 citations) and Infectious Diseases (97 citations). Mathieu Garand has collaborated with scholars based in United States, Qatar and Canada. Frequent co-authors include Souhaila Al Khodor, Manoj Kumar, Damien Chaussabel, Michael B. Boffa, Beate Kampmann, Jayne S. Sutherland, Tobias R. Kollmann, Mohammed Toufiq, Nicolás Dauby and Darawan Rinchai. Their work appears in journals such as Frontiers in Immunology, Journal of Translational Medicine, Thrombosis and Haemostasis, Journal of Thrombosis and Haemostasis and British Journal of Haematology.

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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