What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Genome-wide association study, Genetic association, Immunology and Single-nucleotide polymorphism.
His study in Genetics is interdisciplinary in nature, drawing from both Obesity and Renal function.
The Genome-wide association study study combines topics in areas such as Body mass index, Polymorphism, Diabetes mellitus, Type 2 diabetes and Case-control study.
As part of the same scientific family, he usually focuses on Genetic association, concentrating on Medical genetics and intersecting with Imputation and Genetic architecture.
In his research on the topic of Immunology, Copy-number variation is strongly related with Disease.
His studies deal with areas such as Lithium, Genome and Lithium therapy as well as Single-nucleotide polymorphism.
His most cited work include:
- Medical genetics: A marker for Stevens-Johnson syndrome (1335 citations)
- Medical genetics: A marker for Stevens-Johnson syndrome (1335 citations)
- HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol (893 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Immunology.
His work in Gene, Allele, Polymorphism, Haplotype and SNP is related to Genetics.
His Genome-wide association study research is multidisciplinary, relying on both Body mass index, Case-control study, Genetic association, Locus and Type 2 diabetes.
His studies in Single-nucleotide polymorphism integrate themes in fields like Human genome, Genetic predisposition and Candidate gene.
His work carried out in the field of Internal medicine brings together such families of science as Endocrinology and Gene polymorphism, Genotype.
His research in Immunology intersects with topics in Kawasaki disease and Disease.
He most often published in these fields:
- Genetics (71.97%)
- Genome-wide association study (48.11%)
- Single-nucleotide polymorphism (37.50%)
What were the highlights of his more recent work (between 2016-2021)?
- Genome-wide association study (48.11%)
- Genetics (71.97%)
- Genetic association (25.76%)
In recent papers he was focusing on the following fields of study:
Jer-Yuarn Wu mainly focuses on Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Locus.
Jer-Yuarn Wu has included themes like Antibody, Immunology and Allele in his Genome-wide association study study.
Immunology is closely attributed to Genetic marker in his work.
His Genetics research integrates issues from Meta-analysis and Type 2 diabetes.
His biological study spans a wide range of topics, including Odds ratio, Han chinese, Disease, Small vessel and Imputation.
His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Internal medicine, Short stature, Ischemic stroke and Bioinformatics.
Between 2016 and 2021, his most popular works were:
- Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis (188 citations)
- Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis (188 citations)
- Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels. (85 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Genome-wide association study, Locus, Genetics, Genetic association and Allele.
His Genome-wide association study research is multidisciplinary, incorporating perspectives in Immunoglobulin G, Immunology, Immunoglobulin heavy chain and Immunogenicity.
Jer-Yuarn Wu combines subjects such as Genetic marker, Antibody, Immunoglobulin M and Meta-analysis with his study of Locus.
Jer-Yuarn Wu regularly ties together related areas like Glycemic in his Genetics studies.
His Genetic association research includes elements of Diabetes mellitus, Glycated hemoglobin, Type 2 diabetes, Human genetics and Medical genetics.
Many of his research projects under Allele are closely connected to RBPMS with RBPMS, tying the diverse disciplines of science together.
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