Mathilde Munier

1.7k citations
41 papers · 1.4k · h-index 19

Impact in

Papers in

Mathilde Munier

40 papers receiving 1.3k citations

Peers

Mathilde Munier
Comparison fields: 5 of 114
  • Aquatic Science 344
  • Endocrinology, Diabetes and Metabolism 402
  • Behavioral Neuroscience 63
  • Renewable Energy, Sustainability and the Environment 276
  • Molecular Biology 498
Replace Luc J. Martin with:
Luc J. Martin Canada
Weijun Chen China
Nuris Ledón Cuba
João P. Monteiro Portugal
Kajari Das India
Praveen Kumar Issac India
Sho Nishikawa Japan
Tomohiro Bito Japan
Hellíada Vasconcelos Chaves Brazil
Alycia Noë Canada
Mathilde Munier relative to Luc J. Martin Canada Luc J. Martin's profile →
Citations per field
00.5×3.5×
Luc J. Martin · 1×
Citations per year

Countries citing papers authored by Mathilde Munier

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Munier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007250
2 2012187
3 2013156
4 201572
5 201466
6 201558
7 202158
8 201352
9 201248
10 201835
11 202033
12 201631
13 202131
14 202027
15 201525
16 202023
17 201222
18 201021
19 201019
20 201816

About Mathilde Munier

Mathilde Munier is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Aquatic Science and Health, Toxicology and Mutagenesis, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Seaweed-derived Bioactive Compounds (5 papers), Estrogen and related hormone effects (4 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Genetics and Biotechnology (4 papers), Thyroid Disorders and Treatments (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Algal biology and biofuel production (3 papers). The work is most often cited by research in Aquatic Science (344 citations), Endocrinology, Diabetes and Metabolism (402 citations), Behavioral Neuroscience (63 citations), Renewable Energy, Sustainability and the Environment (276 citations) and Molecular Biology (498 citations). Mathilde Munier has collaborated with scholars based in France, United Kingdom and Denmark. Frequent co-authors include Justine Dumay, Joël Fleurence, Michèle Morançais, Pascal Jaouen, Marc Lombès, Damien Le Menuet, Say Viengchareun, Lætitia Martinerie, Laurent Pascual-Le Tallec and Patrice Rodien. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences, Molecules, ACS Infectious Diseases and 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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