What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Computational biology, Human genome, Chromatin and Genome.
His work on Genetics deals in particular with DNase-Seq, DNA methylation, Genomics, ENCODE and Epigenomics.
As part of his studies on Computational biology, he often connects relevant areas like Pre-replication complex.
His Human genome research incorporates themes from Human mitochondrial genetics, Human disease, ATAC-seq and Mitochondrion.
His research in Chromatin intersects with topics in Enhancer, Transcription factor, Chromatin immunoprecipitation and DNase I hypersensitive site.
His Genome research focuses on subjects like Locus, which are linked to Chromatin Loop, Chromatin Fiber, Genomic organization, Chromosome Territory and Chromosome conformation capture.
His most cited work include:
- Comprehensive mapping of long-range interactions reveals folding principles of the human genome. (4920 citations)
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- Integrative analysis of 111 reference human epigenomes (3776 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Computational biology, Chromatin, Genome and Human genome.
His research in Transcription factor, Gene, Enhancer, Regulatory sequence and Genomics are components of Genetics.
The various areas that John A. Stamatoyannopoulos examines in his Computational biology study include Phenotype, ENCODE, DNA, Promoter and Regulation of gene expression.
His work deals with themes such as Epigenomics, DNA methylation and Cell biology, which intersect with Chromatin.
As a part of the same scientific family, he mostly works in the field of Genome, focusing on Chromosome conformation capture and, on occasion, DNA Replication Timing.
His study looks at the relationship between Human genome and topics such as DNase-Seq, which overlap with DNase I hypersensitive site.
He most often published in these fields:
- Genetics (57.47%)
- Computational biology (40.27%)
- Chromatin (40.27%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (40.27%)
- Chromatin (40.27%)
- Gene (23.98%)
In recent papers he was focusing on the following fields of study:
John A. Stamatoyannopoulos mostly deals with Computational biology, Chromatin, Gene, Genome and Transcription factor.
His biological study spans a wide range of topics, including Human genome, Epigenomics, Allele, Genome editing and Regulation of gene expression.
John A. Stamatoyannopoulos works mostly in the field of Human genome, limiting it down to topics relating to Regulatory sequence and, in certain cases, Human genetic variation.
The concepts of his Chromatin study are interwoven with issues in Proteome, Haematopoiesis, Promoter, Nuclear protein and Bromodomain.
His Genome research incorporates elements of DNA, Effector, Cell biology, Chromosome conformation capture and Transcription.
Tissue-Specific Gene Expression is a subfield of Genetics that John A. Stamatoyannopoulos tackles.
Between 2017 and 2021, his most popular works were:
- Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. (320 citations)
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- Expanded encyclopaedias of DNA elements in the human and mouse genomes (141 citations)
In his most recent research, the most cited papers focused on:
John A. Stamatoyannopoulos focuses on Computational biology, Gene, Genome, Chromatin and Regulation of gene expression.
His Computational biology study integrates concerns from other disciplines, such as Disjunctive normal form, Human genetics and Functional genomics, Genomics.
His research in Genome is mostly focused on Human genome.
John A. Stamatoyannopoulos usually deals with Human genome and limits it to topics linked to Regulatory sequence and Human genetic variation and Promoter.
His work focuses on many connections between Chromatin and other disciplines, such as Epigenomics, that overlap with his field of interest in ENCODE.
His Genetic variation study results in a more complete grasp of Genetics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
