Marc N. Mathieu

47 papers receiving 1.6k citations

Peers

Marc N. Mathieu
Comparison fields: 5 of 120
  • Biological Psychiatry 98
  • Behavioral Neuroscience 76
  • Physiology 305
  • Cancer Research 162
  • Molecular Biology 737
Replace Christoph R.W. Kuhlmann with:
Christoph R.W. Kuhlmann Germany
Sandra J. Campbell United Kingdom
Shigeki Tsutsui Canada
Young‐Ho Lee South Korea
Carla Raggi Italy
Lixia Lü China
Rebecca Lever United Kingdom
Dawei Liu China
Anja Lüth Germany
Imola Wilhelm Hungary
Marc N. Mathieu relative to Christoph R.W. Kuhlmann Germany Christoph R.W. Kuhlmann's profile →
Citations per field
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Christoph R.W. Kuhlmann · 1×
Citations per year

Countries citing papers authored by Marc N. Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Marc N. Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007198
2 2003146
3 2000122
4 2007102
5 201385
6 199183
7 201381
8 199680
9 201563
10 200061
11 200154
12 199552
13 200048
14 199042
15 200038
16 201432
17 200130
18 201428
19 200025
20 200725

About Marc N. Mathieu

Marc N. Mathieu is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Organic Chemistry, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), Asthma and respiratory diseases (7 papers), Estrogen and related hormone effects (5 papers), Pregnancy-related medical research (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Behavioral Neuroscience (76 citations), Physiology (305 citations), Cancer Research (162 citations) and Molecular Biology (737 citations). Marc N. Mathieu has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include Rosalia Paola Gagliardo, Dany Jaffuel, Jean Bousquet, Corinne Henriquet, Claire Gougat, Pascal M. Demoly, Caroline Roumestan, G Bonsignore, Pascal Chanez and Danièle Noël. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Biological Chemistry, Respiratory Research, Angewandte Chemie International Edition and Molecular Endocrinology.

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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