What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Marten H. Hofker focuses on Genetics, Internal medicine, Endocrinology, Genome-wide association study and Single-nucleotide polymorphism.
His study looks at the intersection of Genetics and topics like Molecular biology with Facioscapulohumeral muscular dystrophy and Episodic ataxia.
His Internal medicine study frequently intersects with other fields, such as Hyperlipidemia.
His work carried out in the field of Endocrinology brings together such families of science as Inflammation and Fatty liver.
His Genome-wide association study study incorporates themes from SNP, Genetic variation and Candidate gene.
Marten H. Hofker has researched Single-nucleotide polymorphism in several fields, including Regulation of gene expression and Regulatory sequence.
His most cited work include:
- Familial Hemiplegic Migraine and Episodic Ataxia Type-2 Are Caused by Mutations in the Ca2+ Channel Gene CACNL1A4 (1946 citations)
- Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study (1555 citations)
- A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. (913 citations)
What are the main themes of his work throughout his whole career to date?
Internal medicine, Endocrinology, Genetics, Inflammation and Immunology are his primary areas of study.
His Genetics study frequently involves adjacent topics like Molecular biology.
While the research belongs to areas of Inflammation, Marten H. Hofker spends his time largely on the problem of Steatosis, intersecting his research to questions surrounding Nonalcoholic fatty liver disease.
Marten H. Hofker has included themes like Quantitative trait locus, Expression quantitative trait loci and TCF7L2 in his Genome-wide association study study.
His studies deal with areas such as Genetic variation and Allele as well as Single-nucleotide polymorphism.
His Allele research is multidisciplinary, relying on both Odds ratio and Case-control study.
He most often published in these fields:
- Internal medicine (47.78%)
- Endocrinology (42.22%)
- Genetics (31.48%)
What were the highlights of his more recent work (between 2013-2021)?
- Internal medicine (47.78%)
- Endocrinology (42.22%)
- Inflammation (20.37%)
In recent papers he was focusing on the following fields of study:
Marten H. Hofker mainly focuses on Internal medicine, Endocrinology, Inflammation, Genetics and Immunology.
His study in Inflammation is interdisciplinary in nature, drawing from both Tumor necrosis factor alpha, Liver disease, Steatosis and Cathepsin D.
His work in Genetics covers topics such as Disease which are related to areas like Gut microbiome.
His studies in Immunology integrate themes in fields like Phenotype and Inflammatory bowel disease.
The various areas that he examines in his Single-nucleotide polymorphism study include Blood lipids, Allele and Candidate gene.
The Immune system study which covers Cohort study that intersects with Odds ratio.
Between 2013 and 2021, his most popular works were:
- Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity. (778 citations)
- Association between alcohol and cardiovascular disease:Mendelian randomisation analysis based on individual participant data (400 citations)
- Mendelian randomization of blood lipids for coronary heart disease (384 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Enzyme
His scientific interests lie mostly in Internal medicine, Endocrinology, Inflammation, Insulin resistance and Metagenomics.
He integrates Internal medicine and WASH complex in his studies.
His Endocrinology research includes themes of Single-nucleotide polymorphism and Allele.
When carried out as part of a general Inflammation research project, his work on Proinflammatory cytokine is frequently linked to work in Microbial composition, therefore connecting diverse disciplines of study.
His Metagenomics research is classified as research in Genetics.
His Blood lipids research is multidisciplinary, incorporating perspectives in Body mass index and Case-control study.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
