David Meyre

11.4k citations
116 papers · 5.3k indexed · 2 hit papers · h-index 38

Impact in

Papers in

David Meyre

115 papers receiving 5.1k citations

Hit Papers

Benefits and limitations of genome-wide association studies 2019 · 1.2k citations
1.2k20152026201820222505007501000

Peers

David Meyre
Comparison fields: 5 of 172
  • Endocrine and Autonomic Systems 489
  • Genetics 1.8k
  • Physiology 1.0k
  • Endocrinology, Diabetes and Metabolism 557
  • Nutrition and Dietetics 436
Replace José Luis Santos with:
José Luis Santos Chile
Andrew R. Wood United Kingdom
Thomas D. Dyer United States
Alexandre C. Pereira Brazil
Harald Grallert Germany
Xiaofeng Zhu United States
Miguel Cruz Mexico
Inês Barroso United Kingdom
Cecilia M. Lindgren United Kingdom
Claes‐Göran Östenson Sweden
David Meyre relative to José Luis Santos Chile José Luis Santos's profile →
Citations per field
00.5×1.5×2.5×
José Luis Santos · 1×
Citations per year

Countries citing papers authored by David Meyre

Since Specialization
Citations

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

Fields of papers citing papers by David Meyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202148
3 20199
4 201950
5
Benefits and limitations of genome-wide association studies
Hit paper breakdown →
20191162
6 201869
7 2017120
8 201712
9 201739
10 20177
11 201729
12 201637
13 201623
14 201665
15 201531
16 201537
17 20103
18 20061
19 20063
20 200617

About David Meyre

David Meyre is a scholar working on Endocrine and Autonomic Systems, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Pediatrics, Perinatology and Child Health, having authored 116 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (50 papers), Regulation of Appetite and Obesity (18 papers), Diet and metabolism studies (15 papers), Obesity, Physical Activity, Diet (14 papers), Pancreatic function and diabetes (14 papers), Birth, Development, and Health (13 papers), Nutrition, Genetics, and Disease (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (489 citations), Genetics (1.8k citations), Physiology (1.0k citations), Endocrinology, Diabetes and Metabolism (557 citations) and Nutrition and Dietetics (436 citations). David Meyre has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Michelle Turcotte, Guillaume Paré, Vivian Tam, Yohan Bossé, Nikunj Patel, Akram Alyass, Hélène Choquet, Fereshteh Yazdi, Yuvreet Kaur and Marie Pigeyre. Their work appears in journals such as Scientific Reports, Obesity Reviews, PLoS ONE, Diabetes and Pediatric Obesity.

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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