What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Cell biology, Signal transduction, Genetics, Regulation of gene expression and Gene.
His work in Cell biology is not limited to one particular discipline; it also encompasses Transcription.
His studies in Regulation of gene expression integrate themes in fields like RNA, Protein biosynthesis, Three prime untranslated region, Messenger RNA and microRNA.
His research links Computational biology with Gene.
His Computational biology study incorporates themes from HEK 293 cells, Cell culture, Gene expression, Automated reasoning and Chromosome conformation capture.
His research in XIST intersects with topics in Tsix, Genome, Genomic organization, Chromatin Loop and Chromatin.
His most cited work include:
- Spatial partitioning of the regulatory landscape of the X-inactivation centre (1875 citations)
- A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology (501 citations)
- MicroRNA control of protein expression noise (257 citations)
What are the main themes of his work throughout his whole career to date?
Computational biology, Cell biology, Signal transduction, MAPK/ERK pathway and Genetics are his primary areas of study.
His Computational biology study combines topics from a wide range of disciplines, such as Transcriptome, Regulation of gene expression, Gene, Drug and Gene regulatory network.
Nils Blüthgen combines subjects such as Systems biology, Gene expression and Cell fate determination with his study of Cell biology.
His Signal transduction research is multidisciplinary, incorporating perspectives in Stimulus, Neuroscience, Ultrasensitivity and Bioinformatics.
His MAPK/ERK pathway study integrates concerns from other disciplines, such as Cancer research, KRAS and Protein kinase A.
In general Genetics study, his work on Transcription factor, Promoter and Codon usage bias often relates to the realm of Trichostatin A and Vorinostat, thereby connecting several areas of interest.
He most often published in these fields:
- Computational biology (46.15%)
- Cell biology (45.60%)
- Signal transduction (37.91%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (23.63%)
- Transcriptome (18.13%)
- Computational biology (46.15%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cancer research, Transcriptome, Computational biology, Colorectal cancer and KRAS.
The concepts of his Cancer research study are interwoven with issues in Immunohistochemistry, Cell, Cancer cell, Tumor microenvironment and Kinase.
The Transcriptome study combines topics in areas such as Phenotype, Regulation of gene expression, Neuroepithelial cell and Gene expression profiling.
His Computational biology research incorporates themes from Serous ovarian cancer and Drug.
His work in Colorectal cancer addresses issues such as Cell type, which are connected to fields such as Protein kinase A and Stromal cell.
He is researching MAPK/ERK pathway as part of the investigation of Cell biology and Signal transduction.
Between 2018 and 2021, his most popular works were:
- Cell type-dependent differential activation of ERK by oncogenic KRAS in colon cancer and intestinal epithelium. (31 citations)
- Personalized signaling models for personalized treatments. (12 citations)
- Personalized signaling models for personalized treatments. (12 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Transcriptome, Computational biology, Cell biology, MAPK/ERK pathway and Gene expression.
His Transcriptome study combines topics in areas such as Exome sequencing, Proteome, Stem cell and Induced pluripotent stem cell.
The study incorporates disciplines such as Pharmacogenomics, Cancer cell, Proteomics, Biomarker and Drug in addition to Computational biology.
His studies deal with areas such as Epidermal growth factor and HRAS as well as Cell biology.
His MAPK/ERK pathway study deals with the bigger picture of Signal transduction.
The various areas that Nils Blüthgen examines in his Gene expression study include Regulation of gene expression and Signalling.
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