What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Disease
Dominique Arveiler mainly investigates Internal medicine, Myocardial infarction, Endocrinology, Genetics and Allele.
His research is interdisciplinary, bridging the disciplines of Surgery and Internal medicine.
His Myocardial infarction study integrates concerns from other disciplines, such as Prospective cohort study, Fibrinogen and Case-control study.
His work deals with themes such as Locus and Genotype, which intersect with Endocrinology.
His Allele research is multidisciplinary, incorporating perspectives in Cholesterylester transfer protein, Blood plasma and Coding region.
Dominique Arveiler interconnects Body mass index, Obesity, Randomized controlled trial, Randomization and Socioeconomic status in the investigation of issues within Risk factor.
His most cited work include:
- Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults (2180 citations)
- Discovery and refinement of loci associated with lipid levels (1814 citations)
- Deletion polymorphism in the gene for angiotensin-converting enzyme is a potent risk factor for myocardial infarction. (1770 citations)
What are the main themes of his work throughout his whole career to date?
Dominique Arveiler focuses on Internal medicine, Myocardial infarction, Endocrinology, Risk factor and Epidemiology.
His studies in Internal medicine integrate themes in fields like Surgery, Allele and Cardiology.
The study incorporates disciplines such as Genotype and Pathology in addition to Allele.
The Myocardial infarction study combines topics in areas such as Coronary heart disease, Case-control study, Coronary artery disease and Gastroenterology.
Many of his studies on Risk factor involve topics that are commonly interrelated, such as Body mass index.
He works mostly in the field of Epidemiology, limiting it down to topics relating to Gerontology and, in certain cases, Obesity, as a part of the same area of interest.
He most often published in these fields:
- Internal medicine (50.76%)
- Myocardial infarction (27.05%)
- Endocrinology (24.32%)
What were the highlights of his more recent work (between 2015-2018)?
- Internal medicine (50.76%)
- Coronary heart disease (10.03%)
- Blood pressure (10.94%)
In recent papers he was focusing on the following fields of study:
Internal medicine, Coronary heart disease, Blood pressure, Incidence and Genetics are his primary areas of study.
His Internal medicine research is multidisciplinary, relying on both Endocrinology and Cardiology.
The Cholesterol research Dominique Arveiler does as part of his general Endocrinology study is frequently linked to other disciplines of science, such as Erythrocyte membrane, therefore creating a link between diverse domains of science.
Dominique Arveiler combines subjects such as Epidemiology and Depression with his study of Incidence.
His work carried out in the field of Genetics brings together such families of science as Plasma lipids, Coding and Adult height.
His study in Myocardial infarction is interdisciplinary in nature, drawing from both Coronary artery disease and Prospective cohort study.
Between 2015 and 2018, his most popular works were:
- Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults (2180 citations)
- Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants (1737 citations)
- Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease (279 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Disease
Dominique Arveiler mainly focuses on Bioinformatics, Incidence, Diabetes mellitus, Gerontology and Genome-wide association study.
His research in Bioinformatics intersects with topics in Cohort study, Coronary artery disease, Myocardial infarction, Genetic association and Prospective cohort study.
His Incidence research incorporates themes from Coronary heart disease and Epidemiology.
His studies deal with areas such as Global health and Body mass index as well as Gerontology.
His Body mass index study incorporates themes from Obesity and Environmental health.
His Genome-wide association study research integrates issues from SNP, Internal medicine, Allele and Oncology.
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