M. Mathieu

490 citations
17 papers · 398 indexed · h-index 12

M. Mathieu

17 papers receiving 385 citations

Peers

M. Mathieu
Comparison fields: 5 of 76
  • Immunology and Allergy 30
  • Endocrinology, Diabetes and Metabolism 62
  • Cancer Research 55
  • Genetics 38
  • Molecular Biology 207
Replace Choong-Chin Liew with:
Choong-Chin Liew Canada
H. Ishikawa Japan
H.N. Fernández Argentina
Asomi Sato Japan
Urmi Dhagat Australia
Eleni Ktistaki Greece
Christian Wrocklage Germany
M Princivalle Switzerland
L. F. WEST United Kingdom
B. de Crombrugghe United States
M. Mathieu relative to Choong-Chin Liew Canada Choong-Chin Liew's profile →
Citations per field
00.5×1.5×2.4×
Choong-Chin Liew · 1×
Citations per year

Countries citing papers authored by M. Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by M. Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20241
2 200953
3 200829
4 20048
5 20047
6 200314
7 200114
8 199941
9 199932
10 199918
11
[Mechanism of action of glucocorticoids in asthma].
199911
12
[Corticosteroid-resistant asthma: basic aspects].
19992
13 199716
14
Secretion and mitogenic activity of zebrafish FGF3 reveal intermediate properties relative to mouse and Xenopus homologues.
199622
15
[Glucocorticoid receptor anomalies in asthma].
19962
16 199327
17 1990101

About M. Mathieu

M. Mathieu is a scholar working on Immunology, Immunology and Allergy, Physiology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 17 papers that have together received 398 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), Immune Response and Inflammation (3 papers), Fibroblast Growth Factor Research (2 papers), Adrenal Hormones and Disorders (2 papers), Chemical Synthesis and Analysis (1 paper), Virus-based gene therapy research (1 paper), Protein Structure and Dynamics (1 paper) and Synthesis and biological activity (1 paper). The work is most often cited by research in Immunology and Allergy (30 citations), Endocrinology, Diabetes and Metabolism (62 citations), Cancer Research (55 citations), Genetics (38 citations) and Molecular Biology (207 citations). M. Mathieu has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Bruno Barenton, Christine Prébois, Henri Rochefort, Dany Jaffuel, C. Gougat, Pascal Demoly, Carine Bouffi, Christian Jørgensen, Clive Dickson and Farida Djouad. Their work appears in journals such as Clinical & Experimental Allergy, Gene Therapy, The EMBO Journal, Lara D. Veeken and Molecular Pharmacology.

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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