What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Genome, Human genome, Gene and Genomics.
His research brings together the fields of Computational biology and Genetics.
His Genome study combines topics from a wide range of disciplines, such as Evolutionary biology, CRISPR, Single-nucleotide polymorphism, Human genetics and DNA sequencing.
His study looks at the relationship between Human genome and topics such as Point mutation, which overlap with Somatic cell.
Eric S. Lander has researched Gene in several fields, including Disease and Adenocarcinoma.
The Genomics study combines topics in areas such as Sequence analysis, Molecular evolution, Massive parallel sequencing and Systems biology.
His most cited work include:
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles (22405 citations)
- Initial sequencing and analysis of the human genome. (18816 citations)
- Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. (11046 citations)
What are the main themes of his work throughout his whole career to date?
Eric S. Lander focuses on Genetics, Gene, Computational biology, Genome and Human genome.
His Genetics study focuses mostly on Locus, Genomics, Chromatin, Gene mapping and Genetic linkage.
His research on Genetic linkage frequently connects to adjacent areas such as Genetic marker.
His study in Gene expression, CRISPR, Phenotype, Regulation of gene expression and Mutation are all subfields of Gene.
Eric S. Lander has included themes like RNA and Enhancer, Transcription factor in his Computational biology study.
His Genome research is multidisciplinary, incorporating elements of Evolutionary biology, Human genetics and DNA sequencing.
He most often published in these fields:
- Genetics (83.04%)
- Gene (40.97%)
- Computational biology (41.23%)
What were the highlights of his more recent work (between 2016-2021)?
- Computational biology (41.23%)
- Gene (40.97%)
- Genetics (83.04%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computational biology, Gene, Genetics, Genome and CRISPR.
His Computational biology study integrates concerns from other disciplines, such as Structural variation, RNA, Enhancer, Transcription factor and Regulation of gene expression.
Gene and Drug discovery are frequently intertwined in his study.
In his research, Function is intimately related to Type 2 diabetes, which falls under the overarching field of Genetics.
His work on Genome deals in particular with Human genome and Whole genome sequencing.
His CRISPR research incorporates themes from PREX1, Myeloid leukemia, Epigenetics, MAPK/ERK pathway and Gene regulatory network.
Between 2016 and 2021, his most popular works were:
- An immunogenic personal neoantigen vaccine for patients with melanoma (1092 citations)
- An immunogenic personal neoantigen vaccine for patients with melanoma (1092 citations)
- Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (900 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Genome and Regulation of gene expression.
His study ties his expertise on Cell biology together with the subject of Genetics.
His studies deal with areas such as Cell, Reprogramming, Cell type, Transcription factor and Induced pluripotent stem cell as well as Computational biology.
His Gene study often links to related topics such as Cell aggregation.
The study of Genome is intertwined with the study of Population genetics in a number of ways.
His work deals with themes such as Chromatin, Nucleosome, Histone code, Enhancer and Loop, which intersect with Regulation of gene expression.
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