What is he best known for?
The fields of study he is best known for:
Eric R. Gamazon mostly deals with Genetics, Genome-wide association study, Quantitative trait locus, Expression quantitative trait loci and Single-nucleotide polymorphism.
His study in Genetic variation, Regulation of gene expression, Gene, SNP and International HapMap Project are all subfields of Genetics.
His studies in Regulation of gene expression integrate themes in fields like Computational biology, Gene expression and Methylation.
His work carried out in the field of Genome-wide association study brings together such families of science as Tics, Copy-number variation, Genetic association, Tourette syndrome and Genetic architecture.
As part of the same scientific family, he usually focuses on Genetic association, concentrating on Bioinformatics and intersecting with Underlying disease, Regulatory sequence and Genotype-Tissue Expression.
His Single-nucleotide polymorphism research includes elements of VKORC1 and Polymorphism.
His most cited work include:
- The Genotype-Tissue Expression (GTEx) project (3925 citations)
- The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans (3083 citations)
- Human polymorphism at microRNAs and microRNA target sites. (1284 citations)
What are the main themes of his work throughout his whole career to date?
Eric R. Gamazon focuses on Genome-wide association study, Genetics, Gene, Single-nucleotide polymorphism and Expression quantitative trait loci.
His Genome-wide association study research integrates issues from SNP, Oncology, Quantitative trait locus, Internal medicine and Genetic association.
His Genetics study frequently links to other fields, such as Disease.
His research in Gene tackles topics such as Computational biology which are related to areas like Imputation, Gene regulatory network, Phenome, RNA splicing and Genomics.
His Single-nucleotide polymorphism research incorporates themes from Cancer, Human genome and Bioinformatics.
His study focuses on the intersection of Expression quantitative trait loci and fields such as Genetic architecture with connections in the field of Type I and type II errors.
He most often published in these fields:
- Genome-wide association study (65.19%)
- Genetics (59.73%)
- Gene (44.03%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (30.03%)
- Gene (44.03%)
- Genome-wide association study (65.19%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computational biology, Gene, Genome-wide association study, Phenotype and Transcriptome.
Eric R. Gamazon combines subjects such as Missing data, Imputation, Quantitative trait locus, Genetic architecture and Phenome with his study of Computational biology.
His biological study spans a wide range of topics, including Regulation of gene expression and Long non-coding RNA.
As part of one scientific family, Eric R. Gamazon deals mainly with the area of Gene, narrowing it down to issues related to the Disease, and often Mendelian inheritance and Biobank.
His Genome-wide association study research is included under the broader classification of Genetics.
The concepts of his Transcriptome study are interwoven with issues in Pancreatic cancer, Oncology, Secretion, Internal medicine and Single-nucleotide polymorphism.
Between 2019 and 2021, his most popular works were:
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- The impact of sex on gene expression across human tissues. (37 citations)
- The impact of sex on gene expression across human tissues. (37 citations)
In his most recent research, the most cited papers focused on:
Eric R. Gamazon mainly investigates Computational biology, Gene, Quantitative trait locus, Phenome and Regulation of gene expression.
His Computational biology study integrates concerns from other disciplines, such as SNP, Biobank, Intellectual disability, Functional genomics and Atlas.
His Gene research is multidisciplinary, relying on both Proteome and Cell biology.
His Quantitative trait locus research incorporates elements of Drug development and DNA sequencing.
His Regulation of gene expression research is multidisciplinary, incorporating elements of Biological pathway, Transcription factor, Sterol regulatory element-binding protein and Metabolic pathway.
His work deals with themes such as Expression quantitative trait loci, Gene expression and Genetic variation, which intersect with Genome-wide association study.
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