What is he best known for?
The fields of study he is best known for:
His primary areas of study are Genetics, Genome, Microbiome, Metagenomics and Internal medicine.
His Genetics study is mostly concerned with Gene, Human genome, Genetic variation, Allele frequency and Exome.
His Genome study combines topics in areas such as Computational biology and Sequence assembly.
The study incorporates disciplines such as Ecology, Feces, Intestinal mucosa, Immunology and Physiology in addition to Microbiome.
His studies in Metagenomics integrate themes in fields like Gut flora, Human gut and Bioinformatics.
As a part of the same scientific study, he usually deals with the Internal medicine, concentrating on Endocrinology and frequently concerns with Fatty acid.
His most cited work include:
- A human gut microbial gene catalogue established by metagenomic sequencing (6577 citations)
- A metagenome-wide association study of gut microbiota in type 2 diabetes (3249 citations)
- SOAP2: an improved ultrafast tool for short read alignment. (2900 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Internal medicine, Endocrinology, Genetics, Biochemistry and Gene.
His research investigates the connection with Internal medicine and areas like Gut flora which intersect with concerns in Physiology.
Genome, Metagenomics and Exome sequencing are among the areas of Genetics where Karsten Kristiansen concentrates his study.
His work deals with themes such as Microbiome and Computational biology, which intersect with Genome.
His study in the field of Peroxisome proliferator-activated receptor, Binding protein and Tetrahymena is also linked to topics like Acyl-CoA-binding protein.
Many of his studies on Gene involve topics that are commonly interrelated, such as Molecular biology.
He most often published in these fields:
- Internal medicine (25.65%)
- Endocrinology (22.27%)
- Genetics (18.89%)
What were the highlights of his more recent work (between 2017-2021)?
- Gut flora (12.52%)
- Metagenomics (10.34%)
- Computational biology (10.54%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Gut flora, Metagenomics, Computational biology, Internal medicine and Genome.
His Gut flora study combines topics from a wide range of disciplines, such as Phenotype, Zoology, Physiology and Homeostasis.
His Metagenomics research is classified as research in Genetics.
His Computational biology research integrates issues from Ancient DNA, DNA, DNA sequencing and Bacterial genome size.
His study in Internal medicine is interdisciplinary in nature, drawing from both Endocrinology and Oncology.
His Genome study results in a more complete grasp of Gene.
Between 2017 and 2021, his most popular works were:
- 1,520 reference genomes from cultivated human gut bacteria enable functional microbiome analyses. (166 citations)
- Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers (117 citations)
- Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial (115 citations)
In his most recent research, the most cited papers focused on:
Karsten Kristiansen mainly investigates Gut flora, Metagenomics, Internal medicine, Endocrinology and Computational biology.
His Gut flora study incorporates themes from Breastfeeding, Bifidobacterium and Immune system.
Part of his project on Metagenomics includes research on Genetics and Gene.
His research on Genetics often connects related topics like Medical microbiology.
Many of his research projects under Internal medicine are closely connected to Placebo-controlled study with Placebo-controlled study, tying the diverse disciplines of science together.
His research in Computational biology intersects with topics in CRISPR, Model organism, Genome, Shotgun sequencing and Human gut.
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.
