What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, microRNA, Cell biology, RNA and Circular RNA.
Gene, RNA interference, RNA splicing, Transcription factor and Caenorhabditis elegans are the core of his Genetics study.
His microRNA research includes elements of Regulation of gene expression, Gene silencing, Computational biology and Gene expression.
The concepts of his Cell biology study are interwoven with issues in Non-coding RNA, Gene knockdown, Protein biosynthesis, breakpoint cluster region and Start codon.
In RNA, he works on issues like Messenger RNA, which are connected to Genetic variation, Cooperative binding and Saccharomyces cerevisiae.
His Circular RNA research is multidisciplinary, incorporating elements of Biogenesis, Drosophila melanogaster, Exon, Intron and Gene isoform.
His most cited work include:
- Combinatorial microRNA target predictions. (3972 citations)
- Circular RNAs are a large class of animal RNAs with regulatory potency (3611 citations)
- Silencing of microRNAs in vivo with ‘antagomirs’ (3416 citations)
What are the main themes of his work throughout his whole career to date?
Nikolaus Rajewsky mostly deals with Genetics, Cell biology, Gene, microRNA and Computational biology.
His Regulation of gene expression, Genome, Conserved sequence, Drosophila melanogaster and RNA splicing study are his primary interests in Genetics.
His Cell biology research is multidisciplinary, incorporating perspectives in Cell, Gene knockdown, Transcription factor, Antigen and Epigenetics.
His microRNA research is multidisciplinary, relying on both RNA, RNA interference, Three prime untranslated region and Gene silencing.
His RNA study combines topics from a wide range of disciplines, such as Messenger RNA and Bioinformatics.
His Computational biology research incorporates elements of Open reading frame, DNA microarray and Genomics.
He most often published in these fields:
- Genetics (43.09%)
- Cell biology (33.15%)
- Gene (35.36%)
What were the highlights of his more recent work (between 2017-2021)?
- Gene (35.36%)
- Cell biology (33.15%)
- Computational biology (21.55%)
In recent papers he was focusing on the following fields of study:
Nikolaus Rajewsky spends much of his time researching Gene, Cell biology, Computational biology, Transcriptome and Gene expression.
His Gene study integrates concerns from other disciplines, such as Virus and Virology.
His Cell biology study combines topics from a wide range of disciplines, such as Phenotype, Cell, Mutant and Untranslated region.
His Computational biology research is multidisciplinary, incorporating perspectives in RNA, Open reading frame, Translation and Dicer.
His RNA research integrates issues from Regulator, microRNA and Interactor.
His Gene expression research includes elements of Oncogene, Chemotherapy and Candidate gene.
Between 2017 and 2021, his most popular works were:
- PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells. (270 citations)
- Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment. (226 citations)
- Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics (210 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Computational biology, Transcriptome, Gene, Cell type and Gene expression.
The Computational biology study combines topics in areas such as Translation and Open reading frame.
The Translation study which covers Protein biosynthesis that intersects with microRNA.
He interconnects Three prime untranslated region, Caenorhabditis elegans and Gene isoform in the investigation of issues within microRNA.
He has included themes like Gene expression profiling and Single-cell analysis in his Transcriptome study.
His study in Untranslated region, RNA and Sequence analysis are all subfields of Gene.
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