What is he best known for?
The fields of study he is best known for:
Genetics, Computational biology, Biochemistry, Ribosome profiling and Endoplasmic reticulum are his primary areas of study.
Gene, CRISPR, RNA, Open reading frame and Transcription are among the areas of Genetics where Jonathan S. Weissman concentrates his study.
His Computational biology research is multidisciplinary, relying on both Human genome, Saccharomyces cerevisiae, Genomic engineering, Function and Genomics.
His Biochemistry study integrates concerns from other disciplines, such as Biophysics and Amyloid.
His research integrates issues of Molecular biology and Three prime untranslated region in his study of Ribosome profiling.
His Endoplasmic reticulum study is concerned with the larger field of Cell biology.
His most cited work include:
- Global analysis of protein localization in budding yeast (3577 citations)
- Global analysis of protein expression in yeast (3285 citations)
- Mammalian microRNAs predominantly act to decrease target mRNA levels (3039 citations)
What are the main themes of his work throughout his whole career to date?
Jonathan S. Weissman mostly deals with Cell biology, Genetics, Computational biology, Gene and CRISPR.
His Cell biology research is multidisciplinary, incorporating elements of Biochemistry and Membrane protein.
Ribosome profiling, Genome, Saccharomyces cerevisiae, Regulation of gene expression and Yeast are among the areas of Genetics where the researcher is concentrating his efforts.
His biological study spans a wide range of topics, including Translational efficiency, Deep sequencing and Protein biosynthesis.
The concepts of his Computational biology study are interwoven with issues in Cell, Human genome, Gene knockdown, RNA and Genomics.
Much of his study explores Gene relationship to Function.
He most often published in these fields:
- Cell biology (42.64%)
- Genetics (37.80%)
- Computational biology (42.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (42.64%)
- Computational biology (42.86%)
- CRISPR (21.54%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cell biology, Computational biology, CRISPR, Gene and Cell.
Jonathan S. Weissman combines subjects such as Translation and Messenger RNA with his study of Cell biology.
His Messenger RNA research incorporates themes from Ribosome and Helicase.
His studies deal with areas such as RNA, Gene knockdown and Functional genomics, Genomics as well as Computational biology.
His work carried out in the field of CRISPR brings together such families of science as Phenotype and Genetic screen.
He combines topics linked to In vitro with his work on Gene.
Between 2017 and 2021, his most popular works were:
- Reprogramming human T cell function and specificity with non-viral genome targeting (283 citations)
- Promoter of lncRNA Gene PVT1 Is a Tumor-Suppressor DNA Boundary Element (177 citations)
- Mapping the Genetic Landscape of Human Cells (117 citations)
In his most recent research, the most cited papers focused on:
Jonathan S. Weissman mainly focuses on Computational biology, RNA, Cell biology, Cell and Translation.
His Computational biology study combines topics from a wide range of disciplines, such as Genome editing, CRISPR interference, Gene and CRISPR.
His Gene study deals with the bigger picture of Genetics.
His research in RNA focuses on subjects like Transcriptome, which are connected to RNA splicing and Cell fate determination.
The Cell biology study combines topics in areas such as Chemical biology and Proteomics.
His work in Translation tackles topics such as Open reading frame which are related to areas like Heat shock.
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