What is he best known for?
The fields of study he is best known for:
Yu-Chen Hu mainly focuses on Cell biology, Virology, Gene delivery, Genetic enhancement and Computational biology.
His biological study spans a wide range of topics, including Tissue engineering, Cell culture, Gene expression and Cellular differentiation.
Yu-Chen Hu has included themes like Molecular biology, Stem cell and Immunology in his Gene delivery study.
Yu-Chen Hu has included themes like Ex vivo, Gene, Transduction and Vector in his Computational biology study.
His Signal transduction study also includes
- Macrophage that intertwine with fields like Autophagy,
- Tumor progression which is related to area like Programmed cell death and Immune system.
His Programmed cell death study combines topics in areas such as Tumor necrosis factor alpha, Autophagosome, Crosstalk and Physiology.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- A graphene-based platform for induced pluripotent stem cells culture and differentiation. (330 citations)
- Immunization with virus-like particles of enterovirus 71 elicits potent immune responses and protects mice against lethal challenge. (196 citations)
What are the main themes of his work throughout his whole career to date?
Yu-Chen Hu mostly deals with Cell biology, Molecular biology, Virology, Gene delivery and Transduction.
His studies deal with areas such as Tissue engineering, Cell, Cartilage and Cellular differentiation as well as Cell biology.
His Molecular biology research incorporates themes from Cell culture, Gene expression, Transgene, Recombinant DNA and Green fluorescent protein.
His work deals with themes such as Virus-like particle and Immune system, Immunogenicity, which intersect with Virology.
His studies in Gene delivery integrate themes in fields like Ex vivo, In vitro and In vivo.
His Transduction study also includes fields such as
- Baculoviridae which is related to area like Affinity chromatography,
- Computational biology together with Cas9.
He most often published in these fields:
- Cell biology (27.49%)
- Molecular biology (23.98%)
- Virology (21.05%)
What were the highlights of his more recent work (between 2015-2021)?
- Cell biology (27.49%)
- CRISPR (5.26%)
- Gene (9.94%)
In recent papers he was focusing on the following fields of study:
Yu-Chen Hu focuses on Cell biology, CRISPR, Gene, Genome editing and Computational biology.
The concepts of his Cell biology study are interwoven with issues in Cell, Gene knockdown, Chinese hamster ovary cell and Bone healing.
His research in Bone healing intersects with topics in Mesenchymal stem cell and Gene delivery.
His Computational biology research includes elements of Autophagy, Chaperone-mediated autophagy, Programmed cell death and Autolysosome.
Yu-Chen Hu interconnects Multicellular organism and Physiology in the investigation of issues within Chaperone-mediated autophagy.
His Autolysosome research includes themes of MAP1LC3B, Sequestosome 1 and BECN1.
Between 2015 and 2021, his most popular works were:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- CRISPR-Cas9 for the genome engineering of cyanobacteria and succinate production. (93 citations)
- CRISPR interference (CRISPRi) for gene regulation and succinate production in cyanobacterium S. elongatus PCC 7942 (71 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are CRISPR, Genome editing, Genetics, Gene and Cell biology.
Yu-Chen Hu combines subjects such as Homologous recombination, Computational biology and Metabolic engineering with his study of CRISPR.
His research integrates issues of SOS response and Escherichia coli in his study of Homologous recombination.
His work carried out in the field of Metabolic engineering brings together such families of science as Plasmid, Flux and Gene knockdown.
His biological study spans a wide range of topics, including SDHA and Gene delivery.
His CRISPR interference research integrates issues from Gene knockout and Gene expression.
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