What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Internal medicine, Endocrinology, Genome-wide association study and Longevity.
His Genetics study deals with Population genetics intersecting with Gene flow.
As a part of the same scientific family, Gil Atzmon mostly works in the field of Endocrinology, focusing on Ashkenazi jews and, on occasion, National Health and Nutrition Examination Survey and Thyroid-stimulating hormone.
His biological study spans a wide range of topics, including Exome sequencing, Allele, Haplotype, Genetic association and Genetic architecture.
His Longevity research integrates issues from Offspring, Body mass index and Cohort.
His research investigates the connection with Imputation and areas like Common disease-common variant which intersect with concerns in Exome.
His most cited work include:
- Age-Related Clonal Hematopoiesis Associated with Adverse Outcomes (1896 citations)
- The genetic architecture of type 2 diabetes (674 citations)
- The genetic architecture of type 2 diabetes (674 citations)
What are the main themes of his work throughout his whole career to date?
Gil Atzmon focuses on Genetics, Longevity, Internal medicine, Genome-wide association study and Endocrinology.
His study in Single-nucleotide polymorphism, Gene, Genotype, Exome sequencing and Allele is carried out as part of his studies in Genetics.
His research in Single-nucleotide polymorphism intersects with topics in Locus and Haplotype.
Gil Atzmon combines subjects such as Offspring, Ashkenazi jews and Cohort with his study of Longevity.
His Internal medicine research incorporates themes from Pregnancy, Type 2 diabetes and Oncology.
His studies in Genome-wide association study integrate themes in fields like SNP, Allele frequency, Genetic association, Genetic variation and Genetic architecture.
He most often published in these fields:
- Genetics (60.66%)
- Longevity (33.61%)
- Internal medicine (22.54%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (60.66%)
- Longevity (33.61%)
- Genome-wide association study (33.61%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Genetics, Longevity, Genome-wide association study, Gene and Founder effect.
Genetics is closely attributed to Type 2 diabetes in his work.
His study in Longevity is interdisciplinary in nature, drawing from both Telomere, Odds, Evolutionary biology and Genomics.
His Odds study integrates concerns from other disciplines, such as Allele and Genetic association.
His Genome-wide association study study incorporates themes from Child and adolescent psychiatry, Allele frequency, Meta-analysis, Drug discovery and Genetic architecture.
His research integrates issues of Ashkenazi jews, Cohort and Mutation in his study of Offspring.
Between 2018 and 2021, his most popular works were:
- A meta-analysis of genome-wide association studies identifies multiple longevity genes (73 citations)
- A meta-analysis of genome-wide association studies identifies multiple longevity genes (73 citations)
- Interrogating the Genetic Determinants of Tourette's Syndrome and Other Tic Disorders Through Genome-Wide Association Studies. (65 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Longevity, Odds, Genetics, Allele and Genetic association.
The study of Longevity is intertwined with the study of Offspring in a number of ways.
His Genetics study is mostly concerned with Genetic architecture, Genome-wide association study, Telomere, Biomarker and Methylation.
His work carried out in the field of Genetic architecture brings together such families of science as Genetic correlation, Percentile, Meta-analysis, Tourette's syndrome and Tourette syndrome.
His Genome-wide association study study combines topics from a wide range of disciplines, such as Child and adolescent psychiatry and Copy-number variation.
His Allele research includes themes of Odds ratio, Apolipoprotein E and Genetic genealogy.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
