What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Mike A. Nalls mainly focuses on Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Internal medicine.
His Genetics study frequently links to related topics such as Alzheimer's disease.
The Genome-wide association study study combines topics in areas such as Bioinformatics, Meta-analysis, Quantitative trait locus, Disease and Locus.
Mike A. Nalls combines subjects such as Apolipoprotein E, Amyotrophic lateral sclerosis, Polymorphism and Haplotype with his study of Single-nucleotide polymorphism.
He has researched Genetic association in several fields, including Allele frequency, Statistical power, Medical genetics, Glucose homeostasis and Genetic architecture.
His study focuses on the intersection of Internal medicine and fields such as Surgery with connections in the field of B vitamins, Transient ischaemic attacks, Relative risk, Methylenetetrahydrofolate reductase and Homocysteine.
His most cited work include:
- Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease (1242 citations)
- Genome-Wide Association Study of Retinopathy in Individuals Without Diabetes (681 citations)
- Common genetic variants influence human subcortical brain structures. (610 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genome-wide association study, Genetics, Internal medicine, Disease and Single-nucleotide polymorphism.
His Genome-wide association study study incorporates themes from SNP, Meta-analysis, Genetic association, Locus and Heritability.
His Genetic association research incorporates elements of Quantitative trait locus and Genetic architecture.
His Internal medicine research integrates issues from Endocrinology, Oncology and Pathology.
His studies in Disease integrate themes in fields like Mendelian randomization, Cohort and Bioinformatics.
His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Genotyping, Polymorphism, Allele frequency and Candidate gene.
He most often published in these fields:
- Genome-wide association study (49.86%)
- Genetics (49.04%)
- Internal medicine (25.21%)
What were the highlights of his more recent work (between 2018-2021)?
- Disease (23.84%)
- Genome-wide association study (49.86%)
- Gene (15.07%)
In recent papers he was focusing on the following fields of study:
Mike A. Nalls mainly focuses on Disease, Genome-wide association study, Gene, Genetics and Internal medicine.
His work in Disease covers topics such as Mendelian randomization which are related to areas like Amyotrophic lateral sclerosis.
His study on Genome-wide association study is covered under Single-nucleotide polymorphism.
In his research, Allele frequency is intimately related to Locus, which falls under the overarching field of Single-nucleotide polymorphism.
His work on Linkage disequilibrium, Haplotype and Exome as part of general Genetics study is frequently linked to Context, bridging the gap between disciplines.
His work focuses on many connections between Internal medicine and other disciplines, such as Oncology, that overlap with his field of interest in Odds ratio.
Between 2018 and 2021, his most popular works were:
- Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies (353 citations)
- The genetic architecture of Parkinson's disease (122 citations)
- Parkinson's disease age at onset genome-wide association study: Defining heritability, genetic loci, and α-synuclein mechanisms. (108 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Mike A. Nalls focuses on Genetics, Genome-wide association study, Disease, Genetic association and Parkinson's disease.
His Genetics research includes themes of Confounding and Renal function.
His Genome-wide association study research is multidisciplinary, incorporating perspectives in SNP, HNF1A and Genetic marker.
His biological study spans a wide range of topics, including Odds ratio, Gene, Oncology and Cohort.
His work deals with themes such as Genetic variability, Mendelian randomization and Heritability, which intersect with Genetic association.
His Parkinson's disease research incorporates themes from Association test, Bioinformatics and Migraine.
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