Marie-Anne Levrat

13 total papers · 886 total citations
9 papers, 635 citations indexed

About

Marie-Anne Levrat is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Marie-Anne Levrat has authored 9 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 3 papers in Pathology and Forensic Medicine and 2 papers in Rheumatology. Recurrent topics in Marie-Anne Levrat's work include Microbial Metabolites in Food Biotechnology (5 papers), Food composition and properties (4 papers) and Phytoestrogen effects and research (3 papers). Marie-Anne Levrat is often cited by papers focused on Microbial Metabolites in Food Biotechnology (5 papers), Food composition and properties (4 papers) and Phytoestrogen effects and research (3 papers). Marie-Anne Levrat collaborates with scholars based in France, United States and Morocco. Marie-Anne Levrat's co-authors include Christian Demigné, Christian Rémésy, Christine Morand, Catherine Besson, Christian Rémésy, Corinne Moundras, Stephen R. Behr, Arnaud Messager, Hubert W. Lopez and Odile Texier and has published in prestigious journals such as Journal of Nutrition, British Journal Of Nutrition and Metabolism.

In The Last Decade

Marie-Anne Levrat

9 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Marie-Anne Levrat 341 182 171 123 121 9 635
S. R. Bridges 364 1.1× 244 1.3× 154 0.9× 144 1.2× 104 0.9× 9 737
Jennifer Causey 485 1.4× 121 0.7× 200 1.2× 95 0.8× 103 0.9× 5 735
Fred L. Shinnick 275 0.8× 220 1.2× 95 0.6× 77 0.6× 113 0.9× 13 667
Leah G. Gillingham 347 1.0× 197 1.1× 131 0.8× 128 1.0× 50 0.4× 7 696
Gerald B. Storer 272 0.8× 170 0.9× 164 1.0× 137 1.1× 73 0.6× 22 636
Irina Monnard 160 0.5× 209 1.1× 160 0.9× 81 0.7× 126 1.0× 16 695
Marianne Stasse-Wolthuis 315 0.9× 165 0.9× 131 0.8× 72 0.6× 113 0.9× 14 587
Anne Franck 378 1.1× 117 0.6× 237 1.4× 70 0.6× 157 1.3× 14 748
Cynthia M. Gallaher 240 0.7× 93 0.5× 130 0.8× 106 0.9× 179 1.5× 15 659
PJ Nestel 346 1.0× 105 0.6× 52 0.3× 116 0.9× 92 0.8× 11 571

Countries citing papers authored by Marie-Anne Levrat

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Anne Levrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Anne Levrat. 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 Marie-Anne Levrat. The network helps show where Marie-Anne Levrat may publish in the future.

Co-authorship network of co-authors of Marie-Anne Levrat

This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Anne Levrat. A scholar is included among the top collaborators of Marie-Anne Levrat 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 Marie-Anne Levrat. Marie-Anne Levrat 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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