What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Biochemistry, Metabolite, Metabolomics, Microbiology and Bacteria.
His Metabolomics research is multidisciplinary, incorporating perspectives in Heteronuclear single quantum coherence spectroscopy, Extraction, Botany and Arabidopsis, Mutant.
His studies in Microbiology integrate themes in fields like Probiotic, Epithelium, Intestinal epithelium, Bifidobacterium and Butyrate.
His Probiotic study integrates concerns from other disciplines, such as Lactobacillaceae and Genomic island.
Jun Kikuchi combines subjects such as Omics, Linolenic acid and GC-content with his study of Bacteria.
His Bifidobacterium longum research is multidisciplinary, incorporating elements of Actinomycetaceae and Shiga toxin, Enterobacteriaceae, Escherichia coli.
His most cited work include:
- Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells (2330 citations)
- Bifidobacteria can protect from enteropathogenic infection through production of acetate (1235 citations)
- Bifidobacteria can protect from enteropathogenic infection through production of acetate (1235 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Biochemistry, Metabolomics, Metabolite, Biological system and Analytical chemistry.
His Biochemistry research is multidisciplinary, relying on both Bacteria and Microbial population biology.
He studies Probiotic, a branch of Bacteria.
His studies examine the connections between Metabolomics and genetics, as well as such issues in Ecosystem, with regards to Estuary and Artificial intelligence.
Jun Kikuchi interconnects Chromatography and Computational biology in the investigation of issues within Metabolite.
As part of the same scientific family, Jun Kikuchi usually focuses on Analytical chemistry, concentrating on Nuclear magnetic resonance spectroscopy and intersecting with Bioinformatics.
He most often published in these fields:
- Biochemistry (24.30%)
- Metabolomics (26.17%)
- Metabolite (17.76%)
What were the highlights of his more recent work (between 2016-2021)?
- Biological system (18.22%)
- Machine learning (14.95%)
- Artificial intelligence (14.95%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Biological system, Machine learning, Artificial intelligence, Metabolomics and Ecosystem.
His studies deal with areas such as Macromolecule, Relaxation and Chemical shift as well as Biological system.
His study in the field of Feature selection, Random forest and Feature is also linked to topics like Fish species and Matteuccia.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Tree and Computation.
His research in Metabolomics intersects with topics in Artificial neural network, Coral and Cultivar, Horticulture.
His Ecosystem study frequently draws connections between adjacent fields such as Probiotic.
Between 2016 and 2021, his most popular works were:
- Tuning water-use efficiency and drought tolerance in wheat using abscisic acid receptors. (60 citations)
- Meta-Analysis of Fecal Microbiota and Metabolites in Experimental Colitic Mice during the Inflammatory and Healing Phases (44 citations)
- Meta-Analysis of Fecal Microbiota and Metabolites in Experimental Colitic Mice during the Inflammatory and Healing Phases (44 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Metabolomics, Artificial intelligence, Machine learning, Gut flora and Metabolome.
His work deals with themes such as Particulate organic matter, Ecosystem, Natural ecosystem and Data science, which intersect with Metabolomics.
His work on Ecosystem services is typically connected to Goby as part of general Ecosystem study, connecting several disciplines of science.
His research in the fields of Random forest, Artificial neural network, Data set and Ensemble learning overlaps with other disciplines such as Regression.
The Gut flora study combines topics in areas such as Bacteroidaceae and Microbiology.
Jun Kikuchi has researched Metabolome in several fields, including Microbiome and Ecology, Leopard, Coral.
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