What is he best known for?
The fields of study he is best known for:
- Enzyme
- Gene
- Internal medicine
His primary areas of investigation include Biochemistry, Metabolic engineering, Saccharomyces cerevisiae, Computational biology and Yeast.
His Metabolism, Fermentation, Enzyme, Flux balance analysis and Metabolic pathway investigations are all subjects of Biochemistry research.
In his work, Cellular metabolism is strongly intertwined with Biochemical engineering, which is a subfield of Metabolic engineering.
Jens Nielsen focuses mostly in the field of Saccharomyces cerevisiae, narrowing it down to matters related to Metabolic network and, in some cases, Metabolic network modelling.
His Computational biology research is multidisciplinary, relying on both Genetics, Proteomics, Gene and Transcriptome.
Jens Nielsen has included themes like Metabolome and In silico in his Systems biology study.
His most cited work include:
- Tissue-based map of the human proteome (5369 citations)
- Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics (1489 citations)
- Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics (1489 citations)
What are the main themes of his work throughout his whole career to date?
Jens Nielsen mainly focuses on Biochemistry, Saccharomyces cerevisiae, Yeast, Metabolic engineering and Computational biology.
His work on Biochemistry deals in particular with Metabolism, Enzyme, Fermentation, Biosynthesis and Flux.
His Saccharomyces cerevisiae study is associated with Gene.
His Gene study contributes to a more complete understanding of Genetics.
The Metabolic engineering study combines topics in areas such as Biotechnology, Synthetic biology and Biochemical engineering.
His work carried out in the field of Computational biology brings together such families of science as Genome scale and Bioinformatics.
He most often published in these fields:
- Biochemistry (36.41%)
- Saccharomyces cerevisiae (30.63%)
- Yeast (25.83%)
What were the highlights of his more recent work (between 2017-2021)?
- Saccharomyces cerevisiae (30.63%)
- Yeast (25.83%)
- Computational biology (18.80%)
In recent papers he was focusing on the following fields of study:
Saccharomyces cerevisiae, Yeast, Computational biology, Biochemistry and Gene are his primary areas of study.
His Saccharomyces cerevisiae research includes themes of Synthetic biology, Protein biosynthesis, Metabolic engineering and Cell biology.
His Cell biology research is multidisciplinary, incorporating elements of Secretory protein and Transcription factor.
Jens Nielsen has researched Yeast in several fields, including Fermentation, Food science and Xylose.
His biological study focuses on Systems biology.
His research related to Gene expression, Transcriptome and Genome might be considered part of Gene.
Between 2017 and 2021, his most popular works were:
- Recon3D enables a three-dimensional view of gene variation in human metabolism. (229 citations)
- Recon3D enables a three-dimensional view of gene variation in human metabolism. (229 citations)
- An Integrated Understanding of the Rapid Metabolic Benefits of a Carbohydrate-Restricted Diet on Hepatic Steatosis in Humans (147 citations)
In his most recent research, the most cited papers focused on:
- Enzyme
- Gene
- Internal medicine
His primary areas of investigation include Saccharomyces cerevisiae, Computational biology, Biochemistry, Yeast and Metabolic engineering.
Saccharomyces cerevisiae is a subfield of Gene that Jens Nielsen explores.
His Computational biology study incorporates themes from Metabolic Model, Cancer and Model organism.
His studies deal with areas such as Ion homeostasis, Chemostat, CRISPR, Sugar phosphates and Xylose as well as Yeast.
His research in Metabolic engineering intersects with topics in Biochemical engineering, Secretion, Fatty acid synthesis, Flux and Living systems.
His research integrates issues of Secretory protein and Genome in his study of Cell biology.
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