What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genome, KEGG, Computational biology, Genetics and Gene.
The study incorporates disciplines such as Organism, Kegg database, Proteome and Knowledge base in addition to Genome.
His KEGG research incorporates themes from Genome project, Kegg pathway, Annotation, Metabolic pathway and Translational bioinformatics.
His studies in Kegg pathway integrate themes in fields like Disease gene and Molecular network.
His Computational biology research incorporates elements of Graph, Bioinformatics, Biochemistry, Genomics and Chemical space.
His Gene research focuses on Molecular biology and how it relates to Transcription, Acclimatization and Cell biology.
His most cited work include:
- KEGG: Kyoto Encyclopedia of Genes and Genomes (16999 citations)
- KEGG for linking genomes to life and the environment (3770 citations)
- KEGG for integration and interpretation of large-scale molecular data sets (3257 citations)
What are the main themes of his work throughout his whole career to date?
Minoru Kanehisa mostly deals with Computational biology, Genome, KEGG, Gene and Genetics.
His biological study spans a wide range of topics, including Genome project, Bioinformatics, Organism, Metabolic pathway and Glycan.
Enzyme and Biochemistry are the focus of his Metabolic pathway studies.
His work investigates the relationship between Genome and topics such as Phylogenetic tree that intersect with problems in Phylogenetics.
His studies in KEGG integrate themes in fields like Data mining, Database, Gene expression profiling, Annotation and Genomics.
His study in Gene expression, DNA microarray and Operon is carried out as part of his studies in Gene.
He most often published in these fields:
- Computational biology (42.40%)
- Genome (29.95%)
- KEGG (27.42%)
What were the highlights of his more recent work (between 2009-2021)?
- KEGG (27.42%)
- Computational biology (42.40%)
- Genome (29.95%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in KEGG, Computational biology, Genome, Gene and Bioinformatics.
The various areas that he examines in his KEGG study include Kegg pathway, Omics data, Translational bioinformatics, Genomics and Metagenomics.
His research in Computational biology intersects with topics in Genome project, Enzyme Commission number, Organism, Metabolomics and Integrated database.
His Genome study is focused on Genetics in general.
Minoru Kanehisa works mostly in the field of Gene, limiting it down to topics relating to Enzyme and, in certain cases, Toxoplasma gondii.
His Bioinformatics research integrates issues from Graph and Inference.
Between 2009 and 2021, his most popular works were:
- KEGG for integration and interpretation of large-scale molecular data sets (3257 citations)
- KEGG: new perspectives on genomes, pathways, diseases and drugs (3148 citations)
- KEGG as a reference resource for gene and protein annotation (2898 citations)
In his most recent research, the most cited papers focused on:
Minoru Kanehisa focuses on KEGG, Genome, Computational biology, Gene and Genomics.
His KEGG research is multidisciplinary, relying on both Cellular organisms, Human genome, Kegg pathway, Translational bioinformatics and Metagenomics.
His study on Genome is covered under Genetics.
His Computational biology research includes themes of KEGG Pathway Database, Enzyme Commission number, Trees, RDM and Enzyme catalyzed.
He has researched Gene in several fields, including Metabolic network, Hidden Markov model and Enzyme.
His biological study spans a wide range of topics, including Upload, Interface and Bioinformatics, Drug discovery.
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.
