What is he best known for?
The fields of study he is best known for:
Genetics, Computational biology, Genome, Genomics and Gene are his primary areas of study.
His work on Genetics deals in particular with Human genome, ENCODE, Transcription factor, Gene expression profiling and Chromatin.
Mark Gerstein works mostly in the field of Human genome, limiting it down to concerns involving DNA sequencing and, occasionally, Genotyping and Genome-wide association study.
His Computational biology research integrates issues from Proteome, Bioinformatics, Protein–protein interaction, Functional genomics and Sequence.
His Genome research also works with subjects such as
- 1000 Genomes Project which is related to area like Human genetic variation,
- Sequence analysis which intersects with area such as Sequence alignment.
His study focuses on the intersection of Genomics and fields such as Whole genome sequencing with connections in the field of Massive parallel sequencing.
His most cited work include:
- RNA-Seq: a revolutionary tool for transcriptomics (8393 citations)
- A global reference for human genetic variation. (7825 citations)
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Computational biology, Genome, Gene and Genomics.
His Genetics and Human genome, Pseudogene, Gene expression profiling, DNA sequencing and Transcription factor investigations all form part of his Genetics research activities.
His research in Computational biology intersects with topics in Bioinformatics, ENCODE, Functional genomics, DNA microarray and Protein structure.
He has included themes like Evolutionary biology, Sequence analysis and 1000 Genomes Project in his Genome study.
His research in Gene expression, Regulation of gene expression, Gene duplication and Transcription are components of Gene.
His Genomics study typically links adjacent topics like Human genetics.
He most often published in these fields:
- Genetics (39.36%)
- Computational biology (37.58%)
- Genome (28.66%)
What were the highlights of his more recent work (between 2016-2021)?
- Computational biology (37.58%)
- Genome (28.66%)
- Gene (22.80%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computational biology, Genome, Gene, Genomics and Genetics.
The study incorporates disciplines such as Exome sequencing, Human genome, ENCODE, Transcription factor and Chromatin in addition to Computational biology.
His Human genome study integrates concerns from other disciplines, such as Structural variation and Allele.
His work in Genome addresses subjects such as Cancer, which are connected to disciplines such as Mutation.
His Genomics research incorporates themes from Annotation and Whole genome sequencing.
Germline and Somatic cell are subfields of Genetics in which his conducts study.
Between 2016 and 2021, his most popular works were:
- GENCODE reference annotation for the human and mouse genomes. (840 citations)
- Pan-cancer analysis of whole genomes (538 citations)
- Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (358 citations)
In his most recent research, the most cited papers focused on:
Mark Gerstein mainly investigates Computational biology, Genome, Gene, Genetics and Genomics.
His Computational biology study combines topics in areas such as Exome sequencing, Extracellular RNA, Human genome, Transcriptome and ENCODE.
His ENCODE study incorporates themes from DNA and Functional genomics.
His study in Genome is interdisciplinary in nature, drawing from both Cancer, Epigenomics and Germline.
Somatic cell and Reference genome are the core of his Genetics study.
His research in Genomics intersects with topics in Annotation, Umbrella term, Whole genome sequencing and Point mutation.
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