What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Artificial intelligence
His primary areas of investigation include Informatics, Genetics, Bioinformatics, Health care and Gene expression profiling.
The study incorporates disciplines such as Chart, Medical record, Health informatics, World Wide Web and Data science in addition to Informatics.
His study focuses on the intersection of Genetics and fields such as Computational biology with connections in the field of Genome, Functional genomics and Microarray analysis techniques.
Isaac S. Kohane interconnects Major depressive disorder, Genetic testing, Disease and DNA sequencing in the investigation of issues within Bioinformatics.
He usually deals with Major depressive disorder and limits it to topics linked to Mendelian randomization and Case-control study and Genome-wide association study.
His Gene expression profiling study combines topics in areas such as Regulation of gene expression and Inclusion body myositis.
His most cited work include:
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways (5484 citations)
- Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1 (1650 citations)
- Gene regulation and DNA damage in the ageing human brain. (1437 citations)
What are the main themes of his work throughout his whole career to date?
Isaac S. Kohane mainly investigates Internal medicine, Genetics, Gene, Bioinformatics and Disease.
His work carried out in the field of Internal medicine brings together such families of science as Gastroenterology and Endocrinology.
His Genetics study often links to related topics such as Computational biology.
His work in Gene expression and Gene expression profiling are all subfields of Gene research.
His specific area of interest is Disease, where Isaac S. Kohane studies Ulcerative colitis.
His study looks at the intersection of Ulcerative colitis and topics like Crohn's disease with Surgery.
He most often published in these fields:
- Internal medicine (24.23%)
- Genetics (17.95%)
- Gene (15.77%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (7.95%)
- Health care (8.85%)
- MEDLINE (9.36%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Health care, MEDLINE, Machine learning and Computational biology.
His work on Deep learning, Artificial neural network and Benchmark as part of general Artificial intelligence research is frequently linked to Set, thereby connecting diverse disciplines of science.
His research in Health care focuses on subjects like Retrospective cohort study, which are connected to Observational study.
His Computational biology study typically links adjacent topics like Gene expression.
His Gene expression research is classified as research in Gene.
His Phenotype study deals with the bigger picture of Genetics.
Between 2016 and 2021, his most popular works were:
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression (1131 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Artificial intelligence
Isaac S. Kohane mainly focuses on Artificial intelligence, Health care, MEDLINE, Genetics and Retrospective cohort study.
His Artificial intelligence research includes elements of Machine learning and Natural language processing.
His research integrates issues of Artificial neural network, Health informatics and Sex factors in his study of MEDLINE.
His research in Health informatics intersects with topics in World Wide Web, Workflow and Data visualization.
His study in Retrospective cohort study is interdisciplinary in nature, drawing from both Test, Observational study, Pharmacy, Confidence interval and Emergency medicine.
Isaac S. Kohane studied Disease and Functional studies that intersect with Bioinformatics.
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