What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, RNA, Genome, Gene and Non-coding RNA.
Many of his studies involve connections with topics such as Computational biology and Genetics.
John S. Mattick has researched RNA in several fields, including Chromatin, Regulation of gene expression, Gene expression and Comparative genomics.
The various areas that he examines in his Genome study include Evolutionary biology, Function, Tiling array and ENCODE.
His study in Non-coding RNA is interdisciplinary in nature, drawing from both Molecular biology, RNA interference, Paraspeckle and Epigenetics.
His Long non-coding RNA research integrates issues from RNA silencing, RNA splicing and Neuroscience.
His most cited work include:
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- Long non-coding RNAs: insights into functions (3651 citations)
- The Transcriptional Landscape of the Mammalian Genome (2876 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, RNA, Gene, Computational biology and Genome.
Human genome, Non-coding RNA, Intron, Transcriptome and Long non-coding RNA are the core of his Genetics study.
His research in RNA tackles topics such as Epigenetics which are related to areas like Epigenesis.
The Gene study which covers Molecular biology that intersects with Biochemistry, Protein subunit, Fimbria and Microbiology.
His research integrates issues of Chromatin, Sequence analysis and Genomics in his study of Computational biology.
His Genome research is multidisciplinary, incorporating perspectives in Evolutionary biology, Function, Genome-wide association study, ENCODE and Transcription.
He most often published in these fields:
- Genetics (55.38%)
- RNA (39.01%)
- Gene (34.08%)
What were the highlights of his more recent work (between 2014-2021)?
- RNA (39.01%)
- Computational biology (35.65%)
- Genetics (55.38%)
In recent papers he was focusing on the following fields of study:
John S. Mattick focuses on RNA, Computational biology, Genetics, Genome and Gene.
His RNA research incorporates elements of ENCODE, Comparative genomics, Nanopore sequencing and Cell biology.
His biological study spans a wide range of topics, including Epitranscriptomics, RNA modification, Whole genome sequencing, Genomics and Sequence analysis.
Transcriptome, Human genome, Intron, RNA splicing and Alternative splicing are the core of his Genetics study.
His Transcriptome study combines topics in areas such as Base pair, microRNA and Epigenetics.
His Genome study also includes fields such as
- RNA-Seq most often made with reference to Cap analysis gene expression,
- Genome-wide association study that connect with fields like Enhancer.
Between 2014 and 2021, his most popular works were:
- Discovery and annotation of long noncoding RNAs (367 citations)
- RNA Duplex Map in Living Cells Reveals Higher-Order Transcriptome Structure (328 citations)
- RNA Duplex Map in Living Cells Reveals Higher-Order Transcriptome Structure (328 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in RNA, Genetics, Computational biology, Transcriptome and Genome.
John S. Mattick is studying Long non-coding RNA, which is a component of RNA.
Gene, Alternative splicing, Non-coding RNA, Intron and Epigenetics are the subjects of his Genetics studies.
In his study, which falls under the umbrella issue of Alternative splicing, Consensus sequence, Small nuclear RNA, Conserved sequence and Human genome is strongly linked to RNA splicing.
His Computational biology study incorporates themes from Annotation, Bioinformatics, RNA modification and Identification.
His work carried out in the field of Genome brings together such families of science as Regulation of gene expression, Neuroscience and Multicellular organism.
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