M Ayrault-Jarrier

62 total papers · 585 total citations
44 papers, 506 citations indexed

About

M Ayrault-Jarrier is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research. According to data from OpenAlex, M Ayrault-Jarrier has authored 44 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Surgery and 16 papers in Cancer Research. Recurrent topics in M Ayrault-Jarrier's work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Cancer, Lipids, and Metabolism (15 papers) and Lipoproteins and Cardiovascular Health (10 papers). M Ayrault-Jarrier is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Cancer, Lipids, and Metabolism (15 papers) and Lipoproteins and Cardiovascular Health (10 papers). M Ayrault-Jarrier collaborates with scholars based in France, United States and Tunisia. M Ayrault-Jarrier's co-authors include D. Pastier, J. Polonovski, Carolyn Knight‐Gibson, Éric Bruckert, Claire Sampankanpanich Soria, G. Béréziat, Jean Amiral, João Sousa, J Caen and Bernard Pau and has published in prestigious journals such as Biochemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

M Ayrault-Jarrier

42 papers receiving 484 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M Ayrault-Jarrier 187 178 172 102 60 44 506
Annelise Genoux 109 0.6× 131 0.7× 218 1.3× 81 0.8× 115 1.9× 34 529
Kazuhide Takata 238 1.3× 158 0.9× 120 0.7× 75 0.7× 54 0.9× 54 573
Jitendra Patel 149 0.8× 93 0.5× 145 0.8× 65 0.6× 77 1.3× 28 552
Chi‐Jen Chang 159 0.9× 106 0.6× 137 0.8× 91 0.9× 184 3.1× 40 570
I. Jensen 148 0.8× 123 0.7× 155 0.9× 41 0.4× 28 0.5× 45 510
Yan Liang 148 0.8× 146 0.8× 212 1.2× 96 0.9× 12 0.2× 30 609
Antonina Giammanco 151 0.8× 111 0.6× 126 0.7× 91 0.9× 131 2.2× 50 474
Koichi Inano 191 1.0× 210 1.2× 181 1.1× 63 0.6× 82 1.4× 26 564
Randi Holme 145 0.8× 75 0.4× 105 0.6× 50 0.5× 29 0.5× 24 475
Tatsuya Tominaga 79 0.4× 58 0.3× 262 1.5× 49 0.5× 43 0.7× 30 566

Countries citing papers authored by M Ayrault-Jarrier

Since Specialization
Citations

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

Fields of papers citing papers by M Ayrault-Jarrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Ayrault-Jarrier

This figure shows the co-authorship network connecting the top 25 collaborators of M Ayrault-Jarrier. A scholar is included among the top collaborators of M Ayrault-Jarrier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Ayrault-Jarrier. M Ayrault-Jarrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026