What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Genome, 16S ribosomal RNA, Microbiology and Phylogenetic tree.
His Genome study deals with the bigger picture of Gene.
Jongsik Chun has included themes like Taxonomic rank, Type and Identification in his Gene study.
His work deals with themes such as Taxonomy, Botany, Food science and Leuconostoc, which intersect with 16S ribosomal RNA.
The study incorporates disciplines such as Periodontitis, Vibrionaceae, Actinomycetales and El Tor, Vibrio cholerae in addition to Microbiology.
His Phylogenetic tree research incorporates elements of Proteobacteria, Nucleic acid sequence, Catalase and Pseudoalteromonas.
His most cited work include:
- INTRODUCING EZTAXON-E: A PROKARYOTIC 16S RRNA GENE SEQUENCE DATABASE WITH PHYLOTYPES THAT REPRESENT UNCULTURED SPECIES (4469 citations)
- Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. (2961 citations)
- EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences. (1857 citations)
What are the main themes of his work throughout his whole career to date?
Jongsik Chun focuses on Microbiology, 16S ribosomal RNA, Genetics, Phylogenetic tree and Bacteria.
His Microbiology course of study focuses on Vibrio cholerae and Cholera.
In his study, Sequence analysis is strongly linked to Ribosomal RNA, which falls under the umbrella field of 16S ribosomal RNA.
His research in Genetics tackles topics such as Computational biology which are related to areas like Metagenomics.
His Phylogenetic tree research is multidisciplinary, relying on both Nocardia and Phylogenetics.
His Genome study is related to the wider topic of Gene.
He most often published in these fields:
- Microbiology (50.78%)
- 16S ribosomal RNA (34.27%)
- Genetics (30.53%)
What were the highlights of his more recent work (between 2015-2021)?
- Genome (19.31%)
- Genetics (30.53%)
- Gene (14.64%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Genome, Genetics, Gene, 16S ribosomal RNA and Whole genome sequencing.
His Genome research integrates issues from Computational biology, DNA sequencing and Phylogenetic tree.
His research on Genetics frequently connects to adjacent areas such as Synonym.
His Gene research includes themes of Taxonomic rank and Microbiology.
To a larger extent, he studies Bacteria with the aim of understanding 16S ribosomal RNA.
His Whole genome sequencing research includes elements of Ribosomal RNA, Protein subunit, Dehalogenase, Locus and Transfer RNA.
Between 2015 and 2021, his most popular works were:
- Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. (2961 citations)
- OrthoANI: An improved algorithm and software for calculating average nucleotide identity. (1060 citations)
- A large-scale evaluation of algorithms to calculate average nucleotide identity. (1012 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Genome, DNA sequencing, Gene, Computational biology and Algorithm.
Genome is a subfield of Genetics that Jongsik Chun tackles.
When carried out as part of a general Genetics research project, his work on Nucleotide is frequently linked to work in Software, Similarity, Reciprocal and Current practice, therefore connecting diverse disciplines of study.
Jongsik Chun specializes in Gene, namely 16S ribosomal RNA.
His research in Computational biology intersects with topics in Taxonomy and Phylogenomics.
His study in Taxonomic rank is interdisciplinary in nature, drawing from both Genome project, Genome size, Reference genome and Genomics.
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.
