What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
Jing Hua Zhao focuses on Genome-wide association study, Genetics, Single-nucleotide polymorphism, Internal medicine and Genetic association.
His biological study spans a wide range of topics, including Polymorphism, Linkage disequilibrium, Blood pressure, Medical genetics and Cholesterol.
Genetics and Body mass index are frequently intertwined in his study.
His research in Single-nucleotide polymorphism intersects with topics in Genetic variation and Heritability.
His research integrates issues of Immunology, Endocrinology and Oncology in his study of Internal medicine.
His Locus study deals with FTO gene intersecting with Alpha-Ketoglutarate-Dependent Dioxygenase FTO.
His most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- Discovery and refinement of loci associated with lipid levels (1814 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Allele.
The study of Genetics is intertwined with the study of Body mass index in a number of ways.
His Body mass index research incorporates elements of FTO gene and Obesity.
His Genome-wide association study research is multidisciplinary, incorporating perspectives in Polymorphism, Bioinformatics, Medical genetics, Quantitative trait locus and Internal medicine.
His work deals with themes such as Statistics and Blood pressure, which intersect with Genetic association.
His work carried out in the field of Single-nucleotide polymorphism brings together such families of science as Genetic variation, FEV1/FVC ratio and Genetic architecture.
He most often published in these fields:
- Genetics (53.79%)
- Genome-wide association study (41.38%)
- Genetic association (21.72%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (41.38%)
- Genetics (53.79%)
- Genetic association (21.72%)
In recent papers he was focusing on the following fields of study:
His main research concerns Genome-wide association study, Genetics, Genetic association, Blood pressure and Bioinformatics.
His study with Genome-wide association study involves better knowledge in Single-nucleotide polymorphism.
His works in Allele, Genetic architecture, Gene, Locus and Genetic analysis are all subjects of inquiry into Genetics.
His research in Genetic association focuses on subjects like Mendelian Randomization Analysis, which are connected to International HapMap Project, 1000 Genomes Project and Biomarker.
Jing Hua Zhao combines subjects such as Text mining, Computational biology and Meta-analysis with his study of Blood pressure.
His research on Bioinformatics also deals with topics like
- Lung function and related COPD,
- Pulmonary disease which intersects with area such as Cell type and Phenotype.
Between 2017 and 2021, his most popular works were:
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (770 citations)
- Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. (284 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Jing Hua Zhao mostly deals with Genome-wide association study, Genetic association, Genetics, Medical genetics and Bioinformatics.
Genome-wide association study is a subfield of Single-nucleotide polymorphism that Jing Hua Zhao investigates.
His studies deal with areas such as Pulmonary disease, Hay fever, Mendelian Randomization Analysis and Frameshift mutation as well as Genetic association.
His Genetics study combines topics in areas such as Blood lipids, Cholesterol and Lipid metabolism.
His work in Medical genetics addresses subjects such as Genetic architecture, which are connected to disciplines such as Polymorphism.
His Bioinformatics research includes themes of Genetic correlation and Bone mineral, Bone density, Osteoporosis, Femoral neck.
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