What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene.
His research on Genetics frequently links to adjacent areas such as Disease.
His Genome-wide association study research includes themes of Schizophrenia, Bipolar disorder, Meta-analysis, Heritability and Genetic architecture.
His research integrates issues of Genome, International HapMap Project, Imputation, Human genetics and Candidate gene in his study of Genetic association.
The concepts of his International HapMap Project study are interwoven with issues in Population stratification, Linkage, Data mining and Identity by descent.
His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Immunology, Neurodevelopmental disorder, Genetic linkage, Locus and Haplotype.
His most cited work include:
- PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses (18952 citations)
- PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses (18952 citations)
- Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene.
His Genetics study focuses mostly on Exome sequencing, Exome, Allele, Genetic variation and Copy-number variation.
His Genome-wide association study research includes themes of SNP, Schizophrenia, Attention deficit hyperactivity disorder, Heritability and Genetic architecture.
His work in Schizophrenia addresses issues such as Bipolar disorder, which are connected to fields such as Major depressive disorder.
In his research, Whole genome sequencing is intimately related to Computational biology, which falls under the overarching field of Genetic association.
The Single-nucleotide polymorphism study combines topics in areas such as Disease, Locus and Candidate gene.
He most often published in these fields:
- Genetics (76.77%)
- Genome-wide association study (73.37%)
- Genetic association (34.70%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome-wide association study (73.37%)
- Genetics (76.77%)
- Genetic association (34.70%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Genome-wide association study, Genetics, Genetic association, Computational biology and Gene.
Benjamin M. Neale interconnects SNP, Evolutionary biology, Heritability, Attention deficit hyperactivity disorder and Genetic architecture in the investigation of issues within Genome-wide association study.
His research integrates issues of Meta-analysis, Autism spectrum disorder and Neurodevelopmental disorder in his study of Attention deficit hyperactivity disorder.
His Genetics research is multidisciplinary, incorporating perspectives in Bipolar disorder and Schizophrenia.
His work carried out in the field of Genetic association brings together such families of science as Biobank, Mendelian randomization, Allele, Clinical psychology and Minor allele frequency.
His Computational biology research incorporates elements of Structural variation, Genome, Whole genome sequencing and DNA sequencing.
Between 2018 and 2021, his most popular works were:
- The mutational constraint spectrum quantified from variation in 141,456 humans. (1190 citations)
- Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes (757 citations)
- Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes (757 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Genome-wide association study, Genetics, Gene, Exome sequencing and Genetic association.
His Genome-wide association study research includes elements of Evolutionary biology, Heritability, Clinical psychology, Cohort and Genetic architecture.
His Genetics research is multidisciplinary, incorporating elements of Schizophrenia and Schizophrenia.
The various areas that he examines in his Gene study include Computational biology and Neuroscience.
His studies in Exome sequencing integrate themes in fields like Amyotrophic lateral sclerosis, SOD1, Genotyping, Alzheimer's disease and Haplotype.
His Genetic association study incorporates themes from Biobank, Data mining, Imputation, Imputation and Correlation and dependence.
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