What is he best known for?
The fields of study he is best known for:
Jörg Tost mainly focuses on DNA methylation, Genetics, Epigenetics, Methylation and CpG site.
His DNA methylation research includes elements of Endocrinology and Computational biology.
The concepts of his Computational biology study are interwoven with issues in Genome, Human genome, Whole genome sequencing, Genomics and Mass spectrometry.
His Epigenetics research is under the purview of Gene.
His Methylation research is multidisciplinary, relying on both Molecular biology, Cancer research and Immunology.
The study incorporates disciplines such as Genome-wide association study, Genetic variation, Bioinformatics and Autoimmunity in addition to CpG site.
His most cited work include:
- International network of cancer genome projects (1611 citations)
- Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome (1119 citations)
- DNA methylation analysis by pyrosequencing (542 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in DNA methylation, Epigenetics, Methylation, Cancer research and Genetics.
His DNA methylation study integrates concerns from other disciplines, such as Molecular biology and DNA.
His work carried out in the field of Epigenetics brings together such families of science as Pregnancy, Bioinformatics, Immunology, Regulation of gene expression and Epigenome.
His Methylation research incorporates themes from Transcription factor, Promoter, Internal medicine, Differentially methylated regions and Genomic imprinting.
His work focuses on many connections between Cancer research and other disciplines, such as Breast cancer, that overlap with his field of interest in Genome-wide association study and Genotype.
He usually deals with Pyrosequencing and limits it to topics linked to Computational biology and Genome, Human genome and Genomics.
He most often published in these fields:
- DNA methylation (62.50%)
- Epigenetics (41.20%)
- Methylation (33.33%)
What were the highlights of his more recent work (between 2017-2021)?
- DNA methylation (62.50%)
- Epigenetics (41.20%)
- Methylation (33.33%)
In recent papers he was focusing on the following fields of study:
Jörg Tost spends much of his time researching DNA methylation, Epigenetics, Methylation, Gene and Computational biology.
The DNA methylation study combines topics in areas such as Molecular biology and Cancer research.
Jörg Tost combines subjects such as Pregnancy, Bioinformatics, Immunology, microRNA and Epigenome with his study of Epigenetics.
As part of the same scientific family, Jörg Tost usually focuses on Methylation, concentrating on Differentially methylated regions and intersecting with Genomic imprinting.
His Computational biology study combines topics in areas such as Bisulfite, Pyrosequencing and Genome, Human genome.
Jörg Tost has included themes like Point mutation and Whole genome bisulfite sequencing in his Genome study.
Between 2017 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- Deregulation of microRNA expression in purified T and B lymphocytes from patients with primary Sjögren’s syndrome (41 citations)
- Pregnancy exposure to atmospheric pollution and meteorological conditions and placental DNA methylation. (37 citations)
In his most recent research, the most cited papers focused on:
Jörg Tost mostly deals with DNA methylation, Epigenetics, Gene, Computational biology and microRNA.
His research integrates issues of Pregnancy, Methylation and Candidate gene in his study of DNA methylation.
His Epigenetics research is classified as research in Genetics.
His research in the fields of Gene expression and Promoter overlaps with other disciplines such as Cell type and Monozygotic twin.
His work deals with themes such as Regulation of gene expression, Genome, Disease and Biotinylation, which intersect with Computational biology.
The various areas that Jörg Tost examines in his microRNA study include Peripheral blood mononuclear cell, Immunology, Pathogenesis and Bioinformatics.
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