Mathieu Kurowska

411 citations
10 papers · 299 · h-index 8

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Mast cells and histamine
    • Immunotherapy and Immune Responses

Papers in

    • Immunotherapy and Immune Responses 2
    • Mast cells and histamine 2
    • Immune Cell Function and Interaction 2
    • DNA Repair Mechanisms 1
    • Ubiquitin and proteasome pathways 1

Mathieu Kurowska

10 papers receiving 298 citations

Peers

Mathieu Kurowska
Comparison fields: 5 of 45
  • Hematology 103
  • Immunology 175
  • Physiology 21
  • Cell Biology 68
  • Immunology and Allergy 17
Replace Chen‐Hsuan Ho with:
Chen‐Hsuan Ho Taiwan
Maaike Neeft Netherlands
Razi Quadir Netherlands
Aura Burian United States
Inge Hoebeke Belgium
Erica Wetzler United States
Hannah Staege Germany
Erica J. Brodie Australia
Lise Kveberg Norway
Angela Hughson United States
Mathieu Kurowska relative to Chen‐Hsuan Ho Taiwan Chen‐Hsuan Ho's profile →
Citations per field
00.5×2.9×
Chen‐Hsuan Ho · 1×
Citations per year

Countries citing papers authored by Mathieu Kurowska

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Kurowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201288
2 201452
3 201249
4 201638
5 201822
6 202020
7 200614
8 202210
9 20234
10 20252

About Mathieu Kurowska

Mathieu Kurowska is a scholar working on Immunology, Molecular Biology, Cell Biology, Hematology and Infectious Diseases, having authored 10 papers that have together received 299 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Cellular transport and secretion (3 papers), Immunotherapy and Immune Responses (2 papers), Mast cells and histamine (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Immune Cell Function and Interaction (2 papers), DNA Repair Mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (103 citations), Immunology (175 citations), Physiology (21 citations), Cell Biology (68 citations) and Immunology and Allergy (17 citations). Mathieu Kurowska has collaborated with scholars based in France, Hong Kong and United States. Frequent co-authors include Alain Fischer, Gaël Ménasché, Geneviève de Saint Basile, Nicolas Goudin, Fernando E. Sepulveda, Jérôme Garin, Nadine T. Nehme, Magali Court, Sophia Maschalidi and Jian‐Dong Huang. Their work appears in journals such as Blood, Journal of Allergy and Clinical Immunology, Nature Communications, Arteriosclerosis Thrombosis and Vascular Biology and Science Advances.

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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