What is she best known for?
The fields of study she is best known for:
- Gene
- Internal medicine
- Genetics
Unnur Thorsteinsdottir focuses on Genetics, Genome-wide association study, Single-nucleotide polymorphism, Allele and Genetic association.
Her research integrates issues of Body mass index and Glucose homeostasis in her study of Genetics.
The concepts of her Genome-wide association study study are interwoven with issues in Endocrinology, Internal medicine, Locus, Type 2 diabetes and Genetic architecture.
Unnur Thorsteinsdottir has researched Single-nucleotide polymorphism in several fields, including Human genome, Copy-number variation, Case-control study, Autism and Cholesterol.
Her Allele research is multidisciplinary, incorporating elements of Disease and Immunology.
Her Genetic association study also includes fields such as
- Bone density that intertwine with fields like Mesenchymal stem cell differentiation,
- Coronary artery disease and related CAD.
Her most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2887 citations)
- Biological, clinical and population relevance of 95 loci for blood lipids (2887 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2399 citations)
What are the main themes of her work throughout her whole career to date?
Unnur Thorsteinsdottir mostly deals with Genetics, Genome-wide association study, Internal medicine, Genetic association and Single-nucleotide polymorphism.
Her Genetics study focuses on Allele, Gene, Locus, Genotype and Linkage disequilibrium in particular.
Her research combines Genetic variation and Allele.
Her research on Genome-wide association study also deals with topics like
- Bioinformatics which intersects with area such as Disease,
- Allele frequency that connect with fields like Imputation.
Unnur Thorsteinsdottir combines subjects such as Endocrinology, Type 2 diabetes and Cardiology with her study of Internal medicine.
Her Single-nucleotide polymorphism research is mostly focused on the topic SNP.
She most often published in these fields:
- Genetics (87.12%)
- Genome-wide association study (90.99%)
- Internal medicine (44.21%)
What were the highlights of her more recent work (between 2018-2021)?
- Genome-wide association study (90.99%)
- Genetics (87.12%)
- Internal medicine (44.21%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Genome-wide association study, Genetics, Internal medicine, Genetic association and Bioinformatics.
Her studies deal with areas such as Missense mutation, Heart failure, Coronary artery disease, Disease and Atrial fibrillation as well as Genome-wide association study.
Her research related to Allele, Gene, Locus, Genetic architecture and Genotype might be considered part of Genetics.
Unnur Thorsteinsdottir interconnects Bioelectrical impedance analysis, Lean body mass and Single-nucleotide polymorphism in the investigation of issues within Locus.
The study incorporates disciplines such as Endocrinology, Oncology and Cardiology in addition to Internal medicine.
Her work deals with themes such as Quantitative trait locus, Type 2 diabetes and Homeostasis, which intersect with Genetic association.
Between 2018 and 2021, her most popular works were:
- Spread of SARS-CoV-2 in the Icelandic Population. (909 citations)
- Humoral Immune Response to SARS-CoV-2 in Iceland. (540 citations)
- Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. (118 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Unnur Thorsteinsdottir mainly investigates Genetics, Genome-wide association study, Allele, Internal medicine and Phenotype.
Her study in Genetics is interdisciplinary in nature, drawing from both PCSK9 and Genetic diversity.
Her Genome-wide association study research integrates issues from Immunology, Pathogenesis, Bioinformatics, Case-control study and Atrial fibrillation.
Her Bioinformatics research focuses on Mendelian Randomization Analysis and how it connects with Heart failure and Genetic association.
Her research in Allele intersects with topics in Bioelectrical impedance analysis, Lean body mass, Single-nucleotide polymorphism and Locus.
In her study, which falls under the umbrella issue of Internal medicine, Odds ratio is strongly linked to Endocrinology.
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