What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Gene
- Mutation
Anne Tybjærg-Hansen mainly focuses on Internal medicine, Endocrinology, Cholesterol, Odds ratio and Population study.
Her Internal medicine study deals with Cardiology intersecting with Lipoprotein.
Her Endocrinology research incorporates elements of Mutation and TM6SF2.
Her Cholesterol research is multidisciplinary, relying on both ANGPTL3 and Niacin.
Anne Tybjærg-Hansen has included themes like Meta-analysis, Cancer, Case-control study and Oncology in her Odds ratio study.
The study incorporates disciplines such as Cohort study and Pathology in addition to Population study.
Her most cited work include:
- Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study (1637 citations)
- Nonfasting triglycerides and risk of myocardial infarction, ischemic heart disease, and death in men and women (1627 citations)
- Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society (1551 citations)
What are the main themes of her work throughout her whole career to date?
Anne Tybjærg-Hansen spends much of her time researching Internal medicine, Endocrinology, Disease, Cholesterol and Odds ratio.
Her studies in Internal medicine integrate themes in fields like Population study and Cardiology.
Her work deals with themes such as Prospective cohort study, Mendelian randomization and Genotype, which intersect with Endocrinology.
Her Disease study incorporates themes from Epidemiology, Bioinformatics and Increased risk.
Her Odds ratio research is multidisciplinary, incorporating perspectives in Gastroenterology, Surgery, Cohort study and Case-control study.
The Lipoprotein research she does as part of her general Lipoprotein study is frequently linked to other disciplines of science, such as Context, therefore creating a link between diverse domains of science.
She most often published in these fields:
- Internal medicine (87.09%)
- Endocrinology (42.97%)
- Disease (23.89%)
What were the highlights of her more recent work (between 2016-2021)?
- Internal medicine (87.09%)
- Population study (18.50%)
- Endocrinology (42.97%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Internal medicine, Population study, Endocrinology, Disease and Mendelian randomization.
Many of her studies on Internal medicine involve topics that are commonly interrelated, such as Gastroenterology.
The concepts of her Population study study are interwoven with issues in Body mass index, Interquartile range and Allele.
Her research on Endocrinology frequently links to adjacent areas such as Lower risk.
The Mendelian randomization study combines topics in areas such as Cohort study, Bioinformatics, Retinopathy, Mendelian Randomization Analysis and Risk factor.
Her study in Hazard ratio is interdisciplinary in nature, drawing from both Proportional hazards model and Cardiology.
Between 2016 and 2021, her most popular works were:
- Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease (371 citations)
- Exome-wide association study of plasma lipids in > 300,000 individuals (299 citations)
- Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis (209 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Mutation
Her main research concerns Internal medicine, Endocrinology, Odds ratio, Genome-wide association study and Cholesterol.
Her Internal medicine research incorporates themes from Diabetes mellitus and Population study.
Her study in Population study is interdisciplinary in nature, drawing from both Dementia and Hazard ratio.
Her Odds ratio study incorporates themes from Mendelian randomization and Mendelian Randomization Analysis.
Her research in Genome-wide association study focuses on subjects like Genetic association, which are connected to Computational biology and Quantitative trait locus.
Her Cholesterol research is multidisciplinary, relying on both Lower risk, Confidence interval, Prospective cohort study and Environmental health.
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