What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Joel N. Hirschhorn spends much of his time researching Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Allele.
The study incorporates disciplines such as Body mass index and Disease in addition to Genetics.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Case-control study, Locus, Heritability, Computational biology and Candidate gene.
His Genetic association research integrates issues from Population stratification, Demography, FTO gene, Expression quantitative trait loci and SNP array.
His biological study spans a wide range of topics, including Endocrinology, Genotyping and Allele frequency.
He focuses mostly in the field of Allele, narrowing it down to topics relating to Genetic marker and, in certain cases, Copy-number variation.
His most cited work include:
- PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes (5604 citations)
- PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes (5604 citations)
- PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes (5604 citations)
What are the main themes of his work throughout his whole career to date?
Joel N. Hirschhorn mainly investigates Genetics, Genome-wide association study, Internal medicine, Single-nucleotide polymorphism and Genetic association.
His study in Genetic variation, Locus, Gene, Allele and Linkage disequilibrium falls under the purview of Genetics.
His work focuses on many connections between Genome-wide association study and other disciplines, such as Body mass index, that overlap with his field of interest in Demography and Meta-analysis.
Joel N. Hirschhorn combines subjects such as Endocrinology and Type 2 diabetes with his study of Internal medicine.
His Single-nucleotide polymorphism study incorporates themes from Allele frequency, Breast cancer and Haplotype.
His work carried out in the field of Genetic association brings together such families of science as Genotyping, Medical genetics, Population genetics and Candidate gene.
He most often published in these fields:
- Genetics (113.85%)
- Genome-wide association study (84.87%)
- Internal medicine (56.41%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (84.87%)
- Internal medicine (56.41%)
- Computational biology (17.05%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Genome-wide association study, Internal medicine, Computational biology, Genetic association and Mendelian randomization.
Single-nucleotide polymorphism, Genetics and Gene are closely tied to his Genome-wide association study research.
Joel N. Hirschhorn interconnects Quantitative trait locus and IGFBP3 in the investigation of issues within Single-nucleotide polymorphism.
Many of his research projects under Genetics are closely connected to Bipolar disorder with Bipolar disorder, tying the diverse disciplines of science together.
His Internal medicine study combines topics in areas such as Endocrinology and Type 2 diabetes.
His research integrates issues of Metabolite, Phenotype and Genetic variation in his study of Computational biology.
Between 2017 and 2021, his most popular works were:
- Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry (539 citations)
- Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes (328 citations)
- Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks (203 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Mutation
Genome-wide association study, Biobank, Genomics, Genetic association and Computational biology are his primary areas of study.
His Genome-wide association study research is multidisciplinary, incorporating elements of Body mass index, Obesity, Diabetes mellitus and Bioinformatics.
His studies in Biobank integrate themes in fields like Type 2 diabetes, Data science and Heritability.
His study on Genetic association is covered under Genetics.
His Genetics study frequently involves adjacent topics like Glucose homeostasis.
His Computational biology research is multidisciplinary, relying on both Exome sequencing, Phenotype, Genome and Gene.
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