M Lavau

79 papers receiving 1.7k citations

Peers

M Lavau
Comparison fields: 5 of 81
  • Physiology 1.1k
  • Endocrine and Autonomic Systems 280
  • Biochemistry 214
  • Nutrition and Dietetics 402
  • Endocrinology, Diabetes and Metabolism 267
Replace Wendy S. Pascoe with:
Wendy S. Pascoe Australia
Lois M. Zucker United States
Matthew V. Sennitt United Kingdom
Annie Quignard‐Boulangé France
Margaret W. Bates United States
Pavel Flachs Czechia
Giovanna Liverini Italy
Paula Oliver Spain
Eleftheria Diakogiannaki United Kingdom
Jong‐Yeon Kim South Korea
M Lavau relative to Wendy S. Pascoe Australia Wendy S. Pascoe's profile →
Citations per field
00.5×1.5×
Wendy S. Pascoe · 1×
Citations per year

Countries citing papers authored by M Lavau

Since Specialization
Citations

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

Fields of papers citing papers by M Lavau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978120
2 197796
3 197988
4 198272
5 197871
6 199370
7 198565
8 199253
9 198252
10 199151
11 199549
12 199542
13 199442
14 198439
15 197437
16 198237
17 198536
18 199034
19 197534
20 199232

About M Lavau

M Lavau is a scholar working on Physiology, Molecular Biology, Nutrition and Dietetics, Epidemiology and Cell Biology, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (56 papers), Diet and metabolism studies (27 papers), Metabolism, Diabetes, and Cancer (17 papers), Fatty Acid Research and Health (15 papers), Muscle metabolism and nutrition (11 papers), Lipid metabolism and biosynthesis (9 papers), Regulation of Appetite and Obesity (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Physiology (1.1k citations), Endocrine and Autonomic Systems (280 citations), Biochemistry (214 citations), Nutrition and Dietetics (402 citations) and Endocrinology, Diabetes and Metabolism (267 citations). M Lavau has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include R Bazin, C Guichard, Michèle Guerre-Millo, Christiane Susini, Sami A. Hashim, Isabelle Dugail, Xavier Le Lièpvre, Isabelle Hainault, Susan K. Fried and C. Susini. Their work appears in journals such as Biochemical Journal, Journal of Lipid Research, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and Journal of Nutrition.

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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