What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Genome, Gene, Human genome and Structural variation.
His study on Genetics is mostly dedicated to connecting different topics, such as Population genetics.
The Genome study combines topics in areas such as Gene expression, RNA, Imputation, Computational biology and Candidate gene.
His study explores the link between Computational biology and topics such as Human genetic variation that cross with problems in Genomics.
His work in Gene addresses issues such as Molecular biology, which are connected to fields such as Induced stem cells, LGR5, Stem cell and Cancer stem cell.
His biological study spans a wide range of topics, including Chromothripsis, Gene rearrangement and Whole genome sequencing.
His most cited work include:
- Phylogenetic Shadowing and Computational Identification of Human microRNA Genes (1153 citations)
- Whole-genome sequence variation, population structure and demographic history of the Dutch population (522 citations)
- Transcription factor achaete scute-like 2 controls intestinal stem cell fate. (518 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Genome, Gene, Computational biology and Genomics.
His study in Genetics focuses on Human genome, Genetic variation, Allele, Whole genome sequencing and Single-nucleotide polymorphism.
The various areas that Victor Guryev examines in his Genome study include Imputation and Haplotype.
His Gene research focuses on Molecular biology and how it relates to DNA.
His work focuses on many connections between Computational biology and other disciplines, such as Proteogenomics, that overlap with his field of interest in Proteome.
His research in Genomics intersects with topics in Proteomics, Indel and Sequence assembly.
He most often published in these fields:
- Genetics (48.19%)
- Genome (24.10%)
- Gene (20.48%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (18.67%)
- Immunology (10.24%)
- Gene expression (10.24%)
In recent papers he was focusing on the following fields of study:
Victor Guryev spends much of his time researching Computational biology, Immunology, Gene expression, Genome and Partial correlation.
His Computational biology study integrates concerns from other disciplines, such as Proteogenomics, Transcriptome, RNA-Seq, Directionality and Lung.
His Gene expression study is focused on Gene in general.
His Genome course of study focuses on DNA sequencing and Structural variation and State.
His studies deal with areas such as Whole genome sequencing and Sequence assembly as well as Genomics.
His Exome research is included under the broader classification of Genetics.
Between 2018 and 2021, his most popular works were:
- Multi-platform discovery of haplotype-resolved structural variation in human genomes (307 citations)
- Eleven grand challenges in single-cell data science (187 citations)
- TGF-β activation impairs fibroblast ability to support adult lung epithelial progenitor cell organoid formation (25 citations)
In his most recent research, the most cited papers focused on:
Victor Guryev mainly focuses on Computational biology, DNA sequencing, Genetics, Genomics and Whole genome sequencing.
Victor Guryev has included themes like Disease progression and Transcriptome Sequencing, RNA-Seq, Gene expression, Transcriptome in his Computational biology study.
His DNA sequencing research incorporates themes from State, Directionality, Sister chromatids, Bioconductor and Haplotype.
RNA, Senescence, microRNA, Messenger RNA and Gene are the core of his Genetics study.
To a larger extent, Victor Guryev studies Genome with the aim of understanding Genomics.
His research integrates issues of Structural variation, Human genome and 1000 Genomes Project in his study of Whole genome sequencing.
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