M. Beylot

5.4k citations
134 papers · 4.3k · h-index 38

Impact in

Papers in

M. Beylot

132 papers receiving 4.2k citations

Peers

M. Beylot
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Physiology 1.8k
  • Biochemistry 455
  • Clinical Biochemistry 407
  • Nutrition and Dietetics 609
Replace Visvanathan Chandramouli with:
Visvanathan Chandramouli United States
Bernard R. Landau United States
Todd G. Kirchgessner United States
Stephen F. Previs United States
Chunli Yu United States
N. Nurjhan United States
Anne Tailleux France
Maria G. Buse United States
William C. Schumann United States
Yoshiaki Tamura Japan
M. Beylot relative to Visvanathan Chandramouli United States Visvanathan Chandramouli's profile →
Citations per field
00.5×3.0×
Visvanathan Chandramouli · 1×
Citations per year

Countries citing papers authored by M. Beylot

Since Specialization
Citations

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

Fields of papers citing papers by M. Beylot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003326
2 2004199
3 2002179
4 2003174
5 2005163
6 2002123
7 1997105
8 199898
9 200396
10 199894
11 200388
12 200982
13 199082
14 199678
15 199873
16 198772
17 200070
18 199361
19 199359
20 199954

About M. Beylot

M. Beylot is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Clinical Biochemistry and Surgery, having authored 134 papers that have together received 4.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (60 papers), Metabolism and Genetic Disorders (29 papers), Muscle metabolism and nutrition (22 papers), Diet, Metabolism, and Disease (20 papers), Metabolism, Diabetes, and Cancer (19 papers), Adipose Tissue and Metabolism (19 papers), Liver Disease Diagnosis and Treatment (14 papers) and Thyroid Disorders and Treatments (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Physiology (1.8k citations), Biochemistry (455 citations), Clinical Biochemistry (407 citations) and Nutrition and Dietetics (609 citations). M. Beylot has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Frédérique Diraison, V. Large, Dominique Letexier, P. Moulin, C. Pachiaudi, Odile D. Peroni, Henri Brunengraber, J.P. Riou, R Mornex and Fabien Forcheron. Their work appears in journals such as Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Analytical Biochemistry, Diabetologia and Journal of Mass Spectrometry.

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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