What is he best known for?
The fields of study he is best known for:
Bas Teusink spends much of his time researching Biochemistry, Saccharomyces cerevisiae, Genome, Biochemical engineering and Flux balance analysis.
His Biochemistry research is multidisciplinary, incorporating elements of Lactobacillus plantarum, Lactococcus lactis and Bacteria.
His Saccharomyces cerevisiae study incorporates themes from Glycolysis and Trehalose.
His Genome research is multidisciplinary, incorporating perspectives in Operon and Gene expression profiling.
His Biochemical engineering research is multidisciplinary, relying on both Ecology, Ecosystem, Abiotic component and Community structure.
The concepts of his Genetics study are interwoven with issues in Computational biology and Metabolic network.
His most cited work include:
- A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations (875 citations)
- Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry. (600 citations)
- Shifts in growth strategies reflect tradeoffs in cellular economics (395 citations)
What are the main themes of his work throughout his whole career to date?
Bas Teusink mainly investigates Biochemistry, Systems biology, Computational biology, Yeast and Glycolysis.
As part of his studies on Biochemistry, Bas Teusink often connects relevant subjects like Lactococcus lactis.
His studies in Systems biology integrate themes in fields like Flux balance analysis and Biotechnology.
Bas Teusink combines subjects such as Genetics, Proteome, Function and Genome with his study of Computational biology.
In his study, which falls under the umbrella issue of Yeast, Extracellular is strongly linked to Intracellular.
His Glycolysis research incorporates themes from Adenosine triphosphate and NAD+ kinase.
He most often published in these fields:
- Biochemistry (28.85%)
- Systems biology (15.38%)
- Computational biology (15.87%)
What were the highlights of his more recent work (between 2017-2021)?
- Flux (10.10%)
- Yeast (12.98%)
- Computational biology (15.87%)
In recent papers he was focusing on the following fields of study:
His main research concerns Flux, Yeast, Computational biology, Biochemical engineering and Biological system.
Bas Teusink is studying Saccharomyces cerevisiae, which is a component of Yeast.
His research investigates the link between Saccharomyces cerevisiae and topics such as In vivo that cross with problems in Peptide.
Bas Teusink interconnects Proteome, Lactococcus lactis, Metabolic Model and Genome, Genome scale in the investigation of issues within Computational biology.
His Lactococcus lactis research includes elements of Food science, Biochemistry, Mutation, CCPA and Histidine.
The various areas that he examines in his Biochemical engineering study include Organism, Systems biology, Flux balance analysis and Metabolic network.
Between 2017 and 2021, his most popular works were:
- Finding functional differences between species in a microbial community: Case studies in wine fermentation and Kefir culture (96 citations)
- MEMOTE for standardized genome-scale metabolic model testing (71 citations)
- The number of active metabolic pathways is bounded by the number of cellular constraints at maximal metabolic rates. (65 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Systems biology, Flux, Biological system, Computational biology and Phenotype.
His study in Systems biology is interdisciplinary in nature, drawing from both Software engineering, Gene regulatory network and Cell biology.
His Flux research integrates issues from Substrate, Constraint, Glucose transporter, Overflow metabolism and Metabolism.
His research in Computational biology intersects with topics in Genome, Genome scale and In silico.
The study incorporates disciplines such as Acetic acid bacteria and Metabolic network in addition to Genome.
His Phenotype research incorporates elements of CCPA, Lactococcus lactis and Mutation.
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