What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
His scientific interests lie mostly in Genome-wide association study, Genetics, Genetic architecture, Single-nucleotide polymorphism and Genetic association.
Weihua Zhang has included themes like Body mass index, Internal medicine, Coronary artery disease, Medical genetics and Type 2 diabetes in his Genome-wide association study study.
In his research, Glucose homeostasis is intimately related to Allele, which falls under the overarching field of Medical genetics.
His Genetics research includes themes of Blood lipids and Lipid metabolism.
In Blood lipids, Weihua Zhang works on issues like Lipoprotein, which are connected to Mendelian randomization.
His biological study spans a wide range of topics, including Imputation, Minor allele frequency and Genetic predisposition.
His most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- Discovery and refinement of loci associated with lipid levels (1814 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?
Weihua Zhang mainly focuses on Genetics, Genome-wide association study, Type 2 diabetes, Genetic association and Single-nucleotide polymorphism.
He works mostly in the field of Genetics, limiting it down to topics relating to Meta-analysis and, in certain cases, Computational biology and Genome.
Weihua Zhang combines subjects such as Body mass index, Internal medicine, Medical genetics and Quantitative trait locus, Genetic architecture with his study of Genome-wide association study.
His study in Body mass index is interdisciplinary in nature, drawing from both Anthropometry, Obesity and DNA methylation.
His research in Medical genetics intersects with topics in Mendelian randomization and Bioinformatics.
His Imputation research extends to Genetic association, which is thematically connected.
He most often published in these fields:
- Genetics (80.78%)
- Genome-wide association study (79.22%)
- Type 2 diabetes (26.27%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (80.78%)
- Genome-wide association study (79.22%)
- Meta-analysis (20.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Genetics, Genome-wide association study, Meta-analysis, Type 2 diabetes and Allele.
His work carried out in the field of Genetics brings together such families of science as Mean arterial pressure and Pulse pressure.
His Genome-wide association study study deals with Cholesterol intersecting with DNA methylation.
His research investigates the connection between Meta-analysis and topics such as Risk factor that intersect with issues in Bioinformatics and Disease.
In his study, which falls under the umbrella issue of Type 2 diabetes, Downregulation and upregulation and G6PC2 is strongly linked to Internal medicine.
His Locus research includes elements of Bioelectrical impedance analysis, Lean body mass, Case-control study, Single-nucleotide polymorphism and Genetic architecture.
Between 2018 and 2021, his most popular works were:
- Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels (66 citations)
- Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels (66 citations)
- A catalog of genetic loci associated with kidney function from analyses of a million individuals (52 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His main research concerns Genetics, Genome-wide association study, Gene, Meta-analysis and Mendelian randomization.
The study of Genetics is intertwined with the study of Blood lipids in a number of ways.
The study incorporates disciplines such as Lipid Measurement, Lipid profile, Kidney metabolism, Genetic marker and HNF1A in addition to Genome-wide association study.
The concepts of his Meta-analysis study are interwoven with issues in Cancer, Medical genetics, Disease, Lung cancer and Risk factor.
His Mendelian randomization study incorporates themes from Liver function, Diabetes mellitus, Endocrinology, Type 2 diabetes and Genetic predisposition.
His studies in Allele integrate themes in fields like Offspring, Inbreeding, Inbreeding depression, Runs of Homozygosity and Confounding.
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