What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Gene, Regulation of gene expression, Gene expression profiling and Cell biology.
His research links Computational biology with Genetics.
His biological study spans a wide range of topics, including Transcription factor and Cap analysis gene expression.
The concepts of his Gene expression profiling study are interwoven with issues in Molecular biology and Transcriptome.
His Transcriptome research is multidisciplinary, relying on both cDNA library and Embryoid body.
The various areas that Alistair R. R. Forrest examines in his Human genome study include Mammalian promoter database and Genomics.
His most cited work include:
- The Transcriptional Landscape of the Mammalian Genome (2876 citations)
- An atlas of active enhancers across human cell types and tissues (1577 citations)
- Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs (1378 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Computational biology, Gene, Cell biology and Regulation of gene expression.
His study in Promoter, Gene expression profiling, Transcription factor, Enhancer and Human genome are all subfields of Genetics.
His studies deal with areas such as Gene expression, RNA, Genome, Genomics and Cap analysis gene expression as well as Computational biology.
His work carried out in the field of Cap analysis gene expression brings together such families of science as Transcriptional regulation and DNA methylation.
His Cell biology research is multidisciplinary, relying on both Cell cycle, Cellular differentiation and Induced pluripotent stem cell.
His studies deal with areas such as Chromatin and Molecular biology as well as Regulation of gene expression.
He most often published in these fields:
- Genetics (49.74%)
- Computational biology (37.44%)
- Gene (38.46%)
What were the highlights of his more recent work (between 2017-2020)?
- Computational biology (37.44%)
- Gene (38.46%)
- Gene expression (11.79%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computational biology, Gene, Gene expression, Phenotype and RNA.
The Computational biology study combines topics in areas such as Cancer, Genome, Genomics, Cluster analysis and Cap analysis gene expression.
Gene is a subfield of Genetics that Alistair R. R. Forrest investigates.
His work carried out in the field of Gene expression brings together such families of science as Precision medicine and Cell type.
His biological study spans a wide range of topics, including Cell biology and Gene regulatory network.
His research integrates issues of Cerebellum, Transcription factor, Transcription and Gene knockdown in his study of Transcriptome.
Between 2017 and 2020, his most popular works were:
- Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows (57 citations)
- Sensitization to immune checkpoint blockade through activation of a STAT1/NK axis in the tumor microenvironment (40 citations)
- Transcriptional landscape of Mycobacterium tuberculosis infection in macrophages. (35 citations)
In his most recent research, the most cited papers focused on:
Alistair R. R. Forrest mainly focuses on Gene, Gene expression, Phenotype, Regulation of gene expression and Transcriptome.
His studies in Gene expression integrate themes in fields like Computational biology and Cell type.
Alistair R. R. Forrest interconnects Enhancer, Promoter and Transcriptional regulation in the investigation of issues within Cell type.
His study on Phenotype is covered under Genetics.
His Regulation of gene expression research incorporates elements of Gene expression profiling, Gene regulatory network and Cell biology.
His research investigates the connection between Transcriptome and topics such as Transcription that intersect with problems in Cell growth, Genome, Gene knockdown and Transcription Factor Gene.
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