What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Genome-wide association study, Genetic variation, Demography and Genetic association.
His Genetics study often links to related topics such as Evolutionary biology.
He interconnects Diabetes mellitus and Type 2 diabetes in the investigation of issues within Genome-wide association study.
He combines subjects such as Quantitative trait locus, Race and genetics and Cognitive psychology with his study of Genetic variation.
The study incorporates disciplines such as Ancestry-informative marker and Genetic structure in addition to Demography.
His studies in Genetic association integrate themes in fields like Microsatellite and Genetic admixture.
His most cited work include:
- Worldwide human relationships inferred from genome-wide patterns of variation. (1597 citations)
- Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes (907 citations)
- The importance of race and ethnic background in biomedical research and clinical practice. (876 citations)
What are the main themes of his work throughout his whole career to date?
Hua Tang mainly focuses on Genetics, Genome-wide association study, Genetic association, Evolutionary biology and Allele.
His study in Quantitative trait locus, Gene, Locus, Single-nucleotide polymorphism and Genotype are all subfields of Genetics.
Hua Tang works mostly in the field of Genome-wide association study, limiting it down to concerns involving Genetic architecture and, occasionally, Blood cell.
His Genetic association research is multidisciplinary, relying on both Demography and Linkage disequilibrium.
His work carried out in the field of Evolutionary biology brings together such families of science as Genetic diversity, Genome, Genetic admixture, Genotyping and Genetic genealogy.
His research integrates issues of Blood pressure, Bioinformatics and Candidate gene in his study of Allele.
He most often published in these fields:
- Genetics (54.23%)
- Genome-wide association study (33.80%)
- Genetic association (22.54%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (54.23%)
- Genome-wide association study (33.80%)
- Computational biology (9.86%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Genetics, Genome-wide association study, Computational biology, Gene and Genetic architecture.
His studies deal with areas such as Pulse pressure and Blood lipids as well as Genetics.
Linkage disequilibrium and Genetic variation is closely connected to Evolutionary biology in his research, which is encompassed under the umbrella topic of Genome-wide association study.
His Computational biology study incorporates themes from RNA, Expression quantitative trait loci and Coronary artery disease.
His study in Genetic architecture is interdisciplinary in nature, drawing from both Blood cell and Genetic association.
The various areas that Hua Tang examines in his Genetic association study include Genetic genealogy and Genetic diversity.
Between 2018 and 2021, his most popular works were:
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- The Polygenic and Monogenic Basis of Blood Traits and Diseases (37 citations)
- Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. (33 citations)
In his most recent research, the most cited papers focused on:
Hua Tang focuses on Genome-wide association study, Genetic architecture, Genetics, Computational biology and Blood cell.
His work deals with themes such as Blood lipids, Cholesterol, Diastole and Medical genetics, which intersect with Genome-wide association study.
His research in Genetic architecture intersects with topics in Evolutionary biology, Genetic association, Genetic genealogy and Genetic diversity.
His work in the fields of Genetics, such as Locus, intersects with other areas such as Mean arterial pressure.
His biological study spans a wide range of topics, including RNA, Gene, Proteome and Transcriptome.
His Blood cell study integrates concerns from other disciplines, such as Biobank, Allele and Mendelian inheritance.
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