What is he best known for?
The fields of study he is best known for:
Rolf Müller mainly investigates Biochemistry, Molecular biology, Gene, Genetics and Cell biology.
Many of his studies on Biochemistry involve topics that are commonly interrelated, such as Myxobacteria.
His Myxobacteria research incorporates themes from Sorangium cellulosum, Natural product, Secondary metabolism, Computational biology and Myxococcus xanthus.
His work deals with themes such as Cell culture, Transcription factor, Cyclin A, Regulation of gene expression and Transcription, which intersect with Molecular biology.
His work carried out in the field of Cell biology brings together such families of science as Immunology, Cellular differentiation and c-Fos.
His work in Polyketide tackles topics such as Nonribosomal peptide which are related to areas like Peptide sequence.
His most cited work include:
- Yeast vectors for the controlled expression of heterologous proteins in different genetic backgrounds. (1694 citations)
- antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (1341 citations)
- Induction of c- fos gene and protein by growth factors precedes activation of c- myc (1111 citations)
What are the main themes of his work throughout his whole career to date?
Rolf Müller mainly focuses on Biochemistry, Stereochemistry, Myxobacteria, Gene and Cell biology.
His Myxobacteria study deals with Computational biology intersecting with Natural product.
His Gene study frequently links to adjacent areas such as Molecular biology.
His research integrates issues of Cell culture, Cell, Cell cycle, Gene expression and Transcription in his study of Molecular biology.
Rolf Müller combines subjects such as Regulation of gene expression and Transcription factor with his study of Cell biology.
His biological study spans a wide range of topics, including Nonribosomal peptide and Heterologous expression.
He most often published in these fields:
- Biochemistry (27.31%)
- Stereochemistry (17.63%)
- Myxobacteria (15.13%)
What were the highlights of his more recent work (between 2016-2021)?
- Biochemistry (27.31%)
- Myxobacteria (15.13%)
- Cell biology (14.25%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Biochemistry, Myxobacteria, Cell biology, Stereochemistry and Biosynthesis.
His Myxobacteria research includes elements of 16S ribosomal RNA, Microbiology, Phylogenetics, Computational biology and Myxococcus xanthus.
His Cell biology research is multidisciplinary, incorporating perspectives in Tumor microenvironment and Cancer cell.
He studied Biosynthesis and Gene cluster that intersect with Heterologous expression, Polyketide synthase, Strain and Polyketide.
His Heterologous expression study introduces a deeper knowledge of Gene.
Genome is the focus of his Gene research.
Between 2016 and 2021, his most popular works were:
- Natural products from myxobacteria: novel metabolites and bioactivities. (95 citations)
- The Unique Molecular and Cellular Microenvironment of Ovarian Cancer. (89 citations)
- Heterologous expression of bacterial natural product biosynthetic pathways (62 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Cell biology, Computational biology, Biochemistry, Myxobacteria and Heterologous expression.
His Cell biology research is multidisciplinary, incorporating elements of Tumor microenvironment, Interleukin, Autophagy and Transplantation.
The various areas that Rolf Müller examines in his Computational biology study include Nanotechnology, Gene, Secondary metabolite, Metagenomics and Bacterial genome size.
His studies in Gene integrate themes in fields like Natural product and Bioinformatics.
His study in Myxobacteria is interdisciplinary in nature, drawing from both Antibiotics, Microbiology, Polyunsaturated fatty acid, Yeast and Polyketide.
The concepts of his Heterologous expression study are interwoven with issues in Proline, Nonribosomal peptide, Hydroxylation, Heterologous and Gene cluster.
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