Maximilien Euler

936 citations
9 papers · 479 · h-index 8

Impact in

  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

    • Inflammasome and immune disorders 4
    • Ubiquitin and proteasome pathways 1
    • S100 Proteins and Annexins 1
    • Protein Degradation and Inhibitors 1
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6

Maximilien Euler

9 papers receiving 474 citations

Peers

Maximilien Euler
Comparison fields: 5 of 64
  • Immunology 303
  • Immunology and Allergy 27
  • Rheumatology 38
  • Oncology 60
  • Molecular Biology 139
Replace Ann‐Katrin Clauder with:
Ann‐Katrin Clauder Germany
Takeshi Machida Japan
Yan Lan China
Hiroshi Tomizuka Japan
Vincent Lok United States
Yingni Li China
Maria Velegraki Greece
Daniel L. Sprague United States
Markus A. Loeven Netherlands
Holger Hoff Germany
Maximilien Euler relative to Ann‐Katrin Clauder Germany Ann‐Katrin Clauder's profile →
Citations per field
00.5×1.5×2.3×
Ann‐Katrin Clauder · 1×
Citations per year

Countries citing papers authored by Maximilien Euler

Since Specialization
Citations

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

Fields of papers citing papers by Maximilien Euler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2021138
2 2020123
3 202365
4 201954
5 202247
6 201921
7 200116
8 202212
9 20233

About Maximilien Euler

Maximilien Euler is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 479 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Inflammasome and immune disorders (4 papers), Cell Adhesion Molecules Research (2 papers), Ubiquitin and proteasome pathways (1 paper), S100 Proteins and Annexins (1 paper), Protein Degradation and Inhibitors (1 paper), Liver physiology and pathology (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Immunology (303 citations), Immunology and Allergy (27 citations), Rheumatology (38 citations), Oncology (60 citations) and Molecular Biology (139 citations). Maximilien Euler has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Markus Hoffmann, Tobias Janowitz, Hafsa Munir, Carla P. Martins, James O. Jones, Sarah J. Welsh, Jacqueline D. Shields, Jonas Hahn, Georg Schett and Renato G.S. Chirivi. Their work appears in journals such as The Journal of Experimental Medicine, Cellular and Molecular Immunology, Biochemical Society Transactions, Arthritis & Rheumatology and Redox Biology.

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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