What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Nanotechnology and Single-nucleotide polymorphism.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Bioinformatics, Medical genetics, Meta-analysis, Locus and Heritability.
His study in Gene, Genetic architecture, Quantitative trait locus, Allele and Allele frequency is done as part of Genetics.
His Genetic association research includes themes of Runs of Homozygosity, Glucose homeostasis, Imputation, Genetic variation and Confounding.
His Nanotechnology study incorporates themes from Supercapacitor, Chemical engineering and Metal-organic framework.
His Single-nucleotide polymorphism research focuses on Odds ratio and how it connects with Linkage disequilibrium, Genetic variability, TCF7L2 and Type 2 diabetes.
His most cited work include:
- Recent Advances in Ultrathin Two-Dimensional Nanomaterials (1904 citations)
- A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease (1174 citations)
- Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Genome-wide association study, Internal medicine, Genetic association and Single-nucleotide polymorphism.
Genetics and Meta-analysis are commonly linked in his work.
His Genome-wide association study research incorporates themes from Bioinformatics, Medical genetics, Quantitative trait locus, Genetic architecture and Locus.
The concepts of his Internal medicine study are interwoven with issues in Gastroenterology, Endocrinology, Oncology and Cardiology.
His study of SNP is a part of Single-nucleotide polymorphism.
He most often published in these fields:
- Genetics (24.48%)
- Genome-wide association study (20.90%)
- Internal medicine (17.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (24.48%)
- Genome-wide association study (20.90%)
- Internal medicine (17.51%)
In recent papers he was focusing on the following fields of study:
Wei Zhao mainly focuses on Genetics, Genome-wide association study, Internal medicine, Genetic association and Meta-analysis.
His work carried out in the field of Genome-wide association study brings together such families of science as Cholesterol, Locus and Gene–environment interaction.
His work in Internal medicine addresses subjects such as Diabetes mellitus, which are connected to disciplines such as CpG site.
His Genetic association research focuses on Cognition and how it relates to Dementia.
He has included themes like Biobank, Epidemiology, Blood pressure, Medical genetics and Risk factor in his Meta-analysis study.
He focuses mostly in the field of Single-nucleotide polymorphism, narrowing it down to matters related to Genetic architecture and, in some cases, Heritability.
Between 2018 and 2021, his most popular works were:
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
- Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions (40 citations)
- Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. (33 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Cancer
Genome-wide association study, Genetics, Genetic association, Meta-analysis and Locus are his primary areas of study.
His studies deal with areas such as Quantitative trait locus, Genetic architecture, Cholesterol, Lipid metabolism and Genetic variation as well as Genome-wide association study.
His work is dedicated to discovering how Genetic variation, Single-nucleotide polymorphism are connected with Metabolic network and other disciplines.
His Genetics research is multidisciplinary, incorporating elements of Blood lipids and Cognition.
His work in Genetic association addresses issues such as Gene–environment interaction, which are connected to fields such as Minor allele frequency and Apolipoprotein B.
The Meta-analysis study combines topics in areas such as README, Smoking cessation, Smoking initiation, Human genomics and Genetic etiology.
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.
