What is she best known for?
The fields of study she is best known for:
Her primary areas of investigation include Synthetic biology, RNA, Computational biology, Genetics and Gene expression.
The concepts of her Synthetic biology study are interwoven with issues in Nanotechnology, Engineering ethics, Metabolic engineering, Metabolic pathway and Living systems.
Her Metabolic engineering study integrates concerns from other disciplines, such as Saccharomyces cerevisiae, Yeast and Biosynthesis.
The RNA study combines topics in areas such as Nucleic acid and Aptamer.
Her work in Computational biology addresses subjects such as Regulation of gene expression, which are connected to disciplines such as Bioinformatics, Translation and Cell growth.
She interconnects Operon, Transcription, Intergenic region and Genomic library in the investigation of issues within Gene expression.
Her most cited work include:
- Higher-order cellular information processing with synthetic RNA devices. (491 citations)
- Complete biosynthesis of opioids in yeast (469 citations)
- Combinatorial engineering of intergenic regions in operons tunes expression of multiple genes (446 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Computational biology, RNA, Synthetic biology, Biochemistry and Genetics.
The various areas that Christina D. Smolke examines in her Computational biology study include RNA interference, Regulation of gene expression, microRNA, Gene and Gene regulatory network.
HEK 293 cells is closely connected to Cell biology in her research, which is encompassed under the umbrella topic of Gene.
Her RNA study combines topics in areas such as Gene expression, Nucleic acid, Aptamer and Ligand.
Her study in Gene expression is interdisciplinary in nature, drawing from both RNase P, Transcription and Genomic library.
Her Synthetic biology research is multidisciplinary, incorporating elements of Data science, Cell and Systems biology.
She most often published in these fields:
- Computational biology (35.48%)
- RNA (30.32%)
- Synthetic biology (28.39%)
What were the highlights of her more recent work (between 2018-2021)?
- Computational biology (35.48%)
- Synthetic biology (28.39%)
- Gene (16.77%)
In recent papers she was focusing on the following fields of study:
Computational biology, Synthetic biology, Gene, Yeast and Biosynthesis are her primary areas of study.
Her biological study spans a wide range of topics, including RNA, RNA splicing, Ribozyme, Alternative splicing and Regulation of gene expression.
Her Gene research incorporates themes from Cell type and Cell biology.
Her Yeast research entails a greater understanding of Biochemistry.
Her Biosynthesis study combines topics from a wide range of disciplines, such as Heterologous, Tropine, Metabolic engineering and Tropane.
In her research, Allosteric regulation is intimately related to Gene expression, which falls under the overarching field of DNA.
Between 2018 and 2021, her most popular works were:
- Synthetic biology strategies for microbial biosynthesis of plant natural products (69 citations)
- Anti-CRISPR-mediated control of gene editing and synthetic circuits in eukaryotic cells (67 citations)
- Biosynthesis of medicinal tropane alkaloids in yeast. (27 citations)
In her most recent research, the most cited papers focused on:
Christina D. Smolke mainly investigates Computational biology, Synthetic biology, Biosynthesis, Regulation of gene expression and Gene.
The study incorporates disciplines such as RNA, Ribozyme and Gene regulatory network in addition to Computational biology.
Her RNA research includes elements of Protein expression, Gene expression, Ligand, ENCODE and Function.
She combines subjects such as Allosteric regulation, Metabolic engineering and Biochemical engineering with her study of Synthetic biology.
Her research integrates issues of Yeast and Tropane in her study of Biosynthesis.
As a part of the same scientific family, Christina D. Smolke mostly works in the field of Regulation of gene expression, focusing on Genomic library and, on occasion, Saccharomyces cerevisiae.
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