What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Disease
His main research concerns Genome-wide association study, Genetics, Internal medicine, Genetic association and Body mass index.
His Genome-wide association study study is concerned with the field of Single-nucleotide polymorphism as a whole.
Gudny Eiriksdottir has included themes like Alzheimer's disease and Menarche in his Genetics study.
His Internal medicine research includes elements of Endocrinology and Cardiology.
His Genetic association research is multidisciplinary, relying on both Mean corpuscular hemoglobin, Mean corpuscular volume, Premature ovarian failure, Atrial fibrillation and Candidate gene.
As a part of the same scientific study, Gudny Eiriksdottir usually deals with the Body mass index, concentrating on FTO gene and frequently concerns with Genetics of obesity, Glucose homeostasis, SH2B1 and Neuronal growth regulator 1.
His most cited work include:
- Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease (2614 citations)
- C-Reactive Protein and Other Circulating Markers of Inflammation in the Prediction of Coronary Heart Disease (2560 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Internal medicine, Genome-wide association study, Genetics, Cardiology and Endocrinology.
Internal medicine is represented through his Myocardial infarction, Cohort, Prospective cohort study, Odds ratio and Cohort study research.
His work deals with themes such as Gerontology and Hazard ratio, which intersect with Cohort study.
His Genome-wide association study research is within the category of Single-nucleotide polymorphism.
His study looks at the relationship between Genetics and topics such as Body mass index, which overlap with Obesity.
Gudny Eiriksdottir interconnects Framingham Risk Score, Blood pressure and Pathology in the investigation of issues within Cardiology.
He most often published in these fields:
- Internal medicine (46.45%)
- Genome-wide association study (25.48%)
- Genetics (23.55%)
What were the highlights of his more recent work (between 2016-2021)?
- Internal medicine (46.45%)
- Genetics (23.55%)
- Meta-analysis (10.97%)
In recent papers he was focusing on the following fields of study:
Gudny Eiriksdottir mostly deals with Internal medicine, Genetics, Meta-analysis, Genome-wide association study and Cardiology.
His Internal medicine course of study focuses on Gastroenterology and Epidemiology, Renal function, Diabetes mellitus and Pathology.
In his study, which falls under the umbrella issue of Genetics, Lipid profile, Mean arterial pressure and Pulse pressure is strongly linked to Sleep in non-human animals.
His Meta-analysis study integrates concerns from other disciplines, such as Computational biology, Pulmonary function testing and MEDLINE.
His Genome-wide association study research is multidisciplinary, incorporating elements of Polymorphism, Lean body mass, Medical genetics, Genetic association and 1000 Genomes Project.
His Cardiology study combines topics from a wide range of disciplines, such as Cross-sectional study, Surgery, Thigh and Confidence interval.
Between 2016 and 2021, his most popular works were:
- Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease (429 citations)
- Exome-wide association study of plasma lipids in > 300,000 individuals (265 citations)
- Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults (211 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Disease
His main research concerns Internal medicine, Genome-wide association study, Genetics, Prospective cohort study and Locus.
The concepts of his Internal medicine study are interwoven with issues in Gastroenterology and Diabetes mellitus.
His studies deal with areas such as Lean body mass, Allele, Bioinformatics and Medical genetics as well as Genome-wide association study.
His study on Genetics is mostly dedicated to connecting different topics, such as Body mass index.
His research in Prospective cohort study intersects with topics in Mortality rate, Framingham Risk Score, Myocardial infarction and Risk factor.
His work carried out in the field of Locus brings together such families of science as FTO gene, Single-nucleotide polymorphism, Genetic risk and Idiopathic pulmonary fibrosis.
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