What is he best known for?
The fields of study he is best known for:
Igor Ulitsky mainly investigates Genetics, RNA, Gene, Induced pluripotent stem cell and Embryonic stem cell.
His Genetics research is multidisciplinary, incorporating perspectives in Evolutionary biology and Computational biology.
His RNA study combines topics in areas such as microRNA, TGF alpha and Sequence.
The microRNA study combines topics in areas such as Caenorhabditis elegans, Microprocessor complex, Messenger RNA, RNA-binding protein and DGCR8.
His studies in Induced pluripotent stem cell integrate themes in fields like Stem cell, Stem cell marker and Cellular differentiation, Adult stem cell.
His Genome research integrates issues from Gene dosage and Reprogramming.
His most cited work include:
- lincRNAs: genomics, evolution, and mechanisms. (1589 citations)
- Conserved Function of lincRNAs in Vertebrate Embryonic Development despite Rapid Sequence Evolution (857 citations)
- Network-based prediction of protein function (804 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Gene, Computational biology, Cell biology, Genetics and RNA.
His biological study spans a wide range of topics, including Non-coding RNA, Regulation of gene expression, Genome and Function.
His research in Human genome, Induced pluripotent stem cell, Genomics, RNA-binding protein and Embryonic stem cell are components of Genetics.
The various areas that he examines in his Induced pluripotent stem cell study include Cellular differentiation and DNA methylation.
His RNA research is multidisciplinary, relying on both Nuclear protein, Messenger RNA and Sequence.
His Reprogramming study combines topics from a wide range of disciplines, such as Gene dosage and Copy-number variation.
He most often published in these fields:
- Gene (32.79%)
- Computational biology (33.61%)
- Cell biology (27.87%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (33.61%)
- Cell biology (27.87%)
- Gene (32.79%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computational biology, Cell biology, Gene, Gene expression and Transcription.
His research in Computational biology intersects with topics in Functional annotation, Non-coding RNA, Genome research and Function.
His study in Genome, Gene regulatory network, Transcriptome and Long non-coding RNA are all subfields of Gene.
His studies deal with areas such as RNA-binding protein, Cis acting and Homology as well as Genome.
Igor Ulitsky focuses mostly in the field of Gene regulatory network, narrowing it down to matters related to Gene duplication and, in some cases, Cellular differentiation.
His Gene expression study also includes fields such as
- RNA and related Subcellular localization and Sequence,
- Gene knockdown and related RNA interference, Chromatin and Embryonic stem cell.
Between 2019 and 2021, his most popular works were:
- Regulation of gene expression by cis-acting long non-coding RNAs. (94 citations)
- Functional annotation of human long noncoding RNAs via molecular phenotyping (28 citations)
- A guide to naming human non-coding RNA genes. (18 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Gene, Cell biology, Gene expression, Computational biology and Transcription.
When carried out as part of a general Gene research project, his work on Messenger RNA, Human genome, CCR4-NOT complex and RNA is frequently linked to work in Coronavirus, therefore connecting diverse disciplines of study.
His work deals with themes such as Cistrome, Cell cycle, Gene silencing and Insulin resistance, which intersect with Cell biology.
His Computational biology study incorporates themes from Non-coding RNA, Genome, Gene Symbol and Gene nomenclature, HUGO Gene Nomenclature Committee.
His study in Genome is interdisciplinary in nature, drawing from both Cell growth, Gene knockdown, Cis acting, Regulation of gene expression and Gene regulatory network.
Igor Ulitsky interconnects Phenotype, Transcriptome, Internal ribosome entry site and RNA polymerase II in the investigation of issues within Transcription.
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