Mathias Rouard

423 citations
10 papers · 356 · h-index 10

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Metabolism, Diabetes, and Cancer 2
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Diabetes and associated disorders 2
    • Genetic Associations and Epidemiology 1

Mathias Rouard

10 papers receiving 349 citations

Peers

Mathias Rouard
Comparison fields: 5 of 53
  • Endocrine and Autonomic Systems 87
  • Genetics 120
  • Endocrinology, Diabetes and Metabolism 50
  • Aging 5
  • Reproductive Medicine 24
Replace L. Belair with:
L. Belair France
Karolina M. Andralojc Netherlands
Kemian Gou China
G.J. Hausman United States
Márton Doleschall Hungary
N. K. Mohapatra United States
Lihua Wen China
Matteo Riva Sweden
Lone Møller Pedersen Denmark
Ananya De United States
Mathias Rouard relative to L. Belair France L. Belair's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mathias Rouard

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Rouard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 199798
2 199773
3 200049
4 200131
5 199431
6 199921
7 199917
8 200014
9 199712
10 199710

About Mathias Rouard

Mathias Rouard is a scholar working on Molecular Biology, Genetics, Surgery, Cell Biology and Physiology, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers), Diabetes and associated disorders (2 papers) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Genetics (120 citations), Endocrinology, Diabetes and Metabolism (50 citations), Aging (5 citations) and Reproductive Medicine (24 citations). Mathias Rouard has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Graeme I. Bell, Edward K. Chien, Mark Phillippe, Kenneth S. Polonsky, Manami Hara, Joseph Bass, Hideki Yano, Donald F. Steiner, Christopher W. Turck and Florin Grigorescu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genomics, Diabetes, Journal of Biological Chemistry and American Journal of Obstetrics and Gynecology.

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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