What is he best known for?
The fields of study he is best known for:
Volker Knoop mainly focuses on Genetics, Gene, Intron, RNA editing and Group II intron.
His Phylogenetic tree, Gene product and Gene cluster study in the realm of Gene connects with subjects such as Xanthomonas campestris pv. Vesicatoria and Fusion protein.
While the research belongs to areas of Phylogenetic tree, Volker Knoop spends his time largely on the problem of Plant evolution, intersecting his research to questions surrounding Sporophyte, Marchantia, Embryophyte and Maximum parsimony.
His Intron research is multidisciplinary, relying on both Sister group and RNA splicing, Group I catalytic intron.
His RNA editing study necessitates a more in-depth grasp of RNA.
His research investigates the connection between Group II intron and topics such as Exon that intersect with issues in Oenothera and Trans-splicing.
His most cited work include:
- The deepest divergences in land plants inferred from phylogenomic evidence (503 citations)
- The mitochondrial DNA of land plants: peculiarities in phylogenetic perspective (235 citations)
- RNA editing in bryophytes and a molecular phylogeny of land plants. (207 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, RNA editing, Gene, Intron and Genome.
His works in Mitochondrial DNA, Group II intron, Arabidopsis, Phylogenetics and Phylogenetic tree are all subjects of inquiry into Genetics.
His RNA editing research incorporates themes from Chloroplast, Computational biology and Physcomitrella patens.
His studies deal with areas such as Oenothera and DNA as well as Gene.
Within one scientific family, he focuses on topics pertaining to Nucleic acid sequence under Intron, and may sometimes address concerns connected to Homology.
Volker Knoop combines subjects such as Mitochondrion and Reading frame with his study of Genome.
He most often published in these fields:
- Genetics (62.26%)
- RNA editing (44.34%)
- Gene (42.45%)
What were the highlights of his more recent work (between 2012-2020)?
- RNA editing (44.34%)
- Pentatricopeptide repeat (17.92%)
- Genetics (62.26%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in RNA editing, Pentatricopeptide repeat, Genetics, Genome and Gene.
His RNA editing study deals with the bigger picture of RNA.
His work carried out in the field of Pentatricopeptide repeat brings together such families of science as RNA-binding protein and Physcomitrella patens.
Particularly relevant to Phylogenetics is his body of work in Genetics.
His Phylogenetics research incorporates elements of Group II intron, Mitochondrial DNA and Intron.
His work on Transmembrane domain is typically connected to Membrane protein as part of general Gene study, connecting several disciplines of science.
Between 2012 and 2020, his most popular works were:
- Ginkgo and Welwitschia Mitogenomes Reveal Extreme Contrasts in Gymnosperm Mitochondrial Evolution (75 citations)
- Chloroplast RNA editing going extreme: more than 3400 events of C-to-U editing in the chloroplast transcriptome of the lycophyte Selaginella uncinata (66 citations)
- The Physarum polycephalum Genome Reveals Extensive Use of Prokaryotic Two-Component and Metazoan-Type Tyrosine Kinase Signaling. (55 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are RNA editing, Genetics, Pentatricopeptide repeat, RNA and Genome.
His RNA editing study incorporates themes from Chloroplast DNA, Phylogenetics, Computational biology and Mitochondrial DNA.
His Chloroplast DNA research is multidisciplinary, incorporating elements of Proteomics, Group II intron, Intron and Genomics.
Phylogenetics is a subfield of Gene that Volker Knoop investigates.
His work deals with themes such as Arabidopsis thaliana, Physarum, Sequence alignment and Flowering plant, which intersect with Pentatricopeptide repeat.
His study in the field of Cycas taitungensis also crosses realms of Receptor tyrosine kinase.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
