Véronique Mathé

1.1k citations
32 papers · 853 indexed · h-index 12
Topics
Diet and metabolism studies (11 papers)Muscle metabolism and nutrition (10 papers)Nutritional Studies and Diet (6 papers)
Partner nations
FranceMoroccoGermany

In The Last Decade

Véronique Mathé

31 papers receiving 832 citations

Peers

Véronique Mathé
Comparison fields: 5 of 97
  • Physiology 447
  • Cell Biology 192
  • Molecular Biology 181
  • Public Health, Environmental and Occupational Health 135
  • Nutrition and Dietetics 135
Replace Rafael Herling Lambertucci with:
Rafael Herling Lambertucci Brazil
Françoise Kühne Switzerland
Christophe Binnert Switzerland
Charles Lavigne Canada
Luciana C. Caperuto Brazil
Ana D. Martins Portugal
Isabel Lladó Spain
Tara M. Henagan United States
Yi‐Hao Yu United States
Rickard Köhnke Sweden
Véronique Mathé relative to Rafael Herling Lambertucci Brazil Rafael Herling Lambertucci's profile →
Citations per field
00.5×3.8×
Rafael Herling Lambertucci · 1×
Citations per year

Countries citing papers authored by Véronique Mathé

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Mathé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Mathé

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Mathé. A scholar is included among the top collaborators of Véronique Mathé 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 Véronique Mathé. Véronique Mathé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 4
4 13
5 10
6 26
7 4
8 5
9 9
10 28
11 10
12 5
13 86
14 47
15 1
16 1
17 74
18 148
19 11
20
Changes in the carbohydrate metabolism of the rat brain in response to work.
2

About Véronique Mathé

Véronique Mathé is a scholar working on Biochemistry, Physiology and Cell Biology, having authored 32 papers that have together received 853 indexed citations. Recurring topics across this work include Diet and metabolism studies (11 papers), Muscle metabolism and nutrition (10 papers) and Nutritional Studies and Diet (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (118 citations), Physiology (447 citations) and Cell Biology (192 citations). Véronique Mathé has collaborated with scholars based in France, Morocco and Germany. Frequent co-authors include Daniel Tomé, Jean‐François Huneau, François Mariotti, Clémence Blouet, Dalila Azzout‐Marniche, Claire Gaudichon, Dominique Hermier, Cécile Bos, Antoine Martin and Najat Aattouri. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Brain Research.

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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