Eric Mathieu

44 papers receiving 1.6k citations

Peers

Eric Mathieu
Comparison fields: 5 of 121
  • Genetics 165
  • Endocrinology, Diabetes and Metabolism 180
  • Cardiology and Cardiovascular Medicine 241
  • Rheumatology 148
  • Molecular Biology 644
Replace Ashwani Gupta with:
Ashwani Gupta India
Masami Ikehata Italy
Vincenzo Petrozza Italy
Gabriela Kania Switzerland
Tomohiko Usui Japan
Daniel S. Perrien United States
Shinsuke Nomura Japan
J.A. Gallagher United Kingdom
Sylvia Cohen‐Kaminsky France
Eric Mathieu relative to Ashwani Gupta India Ashwani Gupta's profile →
Citations per field
00.5×1.7×
Ashwani Gupta · 1×
Citations per year

Countries citing papers authored by Eric Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Eric Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001440
2 1995137
3 1994116
4 2005107
5 200198
6 200091
7 199476
8 200260
9 199841
10 201537
11 200136
12 201332
13 199228
14 200428
15 200225
16 201024
17 199423
18 201422
19 201722
20 199422

About Eric Mathieu

Eric Mathieu is a scholar working on Rheumatology, Surfaces, Coatings and Films, Molecular Biology, Periodontics and Cell Biology, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (8 papers), Polymer Surface Interaction Studies (5 papers), dental development and anomalies (5 papers), Bone Tissue Engineering Materials (4 papers), Neuropeptides and Animal Physiology (4 papers), Cellular Mechanics and Interactions (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Genetics (165 citations), Endocrinology, Diabetes and Metabolism (180 citations), Cardiology and Cardiovascular Medicine (241 citations), Rheumatology (148 citations) and Molecular Biology (644 citations). Eric Mathieu has collaborated with scholars based in France, Belgium and Thailand. Frequent co-authors include Chantal M. Boulanger, Talin Ebrahimian, Alain Tedgui, Patrick Henry, Ziad Mallat, Peter Van Vlasselaer, N. Falla, Hans‐Willem Snoeck, Bernard I Levy and J.P. Gouëllo. Their work appears in journals such as Electrochimica Acta, European Journal of Pharmacology, Journal of Bone and Mineral Research, Scientific Reports and British Journal of 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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