What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Induced pluripotent stem cell, Stem cell, Cell biology and Embryonic stem cell.
His Genetics study frequently draws connections between adjacent fields such as Computational biology.
His Induced pluripotent stem cell research is multidisciplinary, incorporating elements of Genome editing, Reprogramming, Cell and Somatic cell.
His biological study spans a wide range of topics, including Phenotype, Mesenchymal stem cell and Cellular differentiation.
The various areas that Guang-Hui Liu examines in his Cellular differentiation study include Cancer research, Oxidative phosphorylation, Disease, Neurogenesis and Neural stem cell.
His work in the fields of Cell aging overlaps with other areas such as Premature aging.
His most cited work include:
- In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration (575 citations)
- Recapitulation of premature ageing with iPSCs from Hutchinson–Gilford progeria syndrome (413 citations)
- NF-κB/p65 antagonizes Nrf2-ARE pathway by depriving CBP from Nrf2 and facilitating recruitment of HDAC3 to MafK (393 citations)
What are the main themes of his work throughout his whole career to date?
Cell biology, Stem cell, Induced pluripotent stem cell, Genetics and Cellular differentiation are his primary areas of study.
His research integrates issues of Transcription factor and Nuclear lamina in his study of Cell biology.
Guang-Hui Liu has researched Stem cell in several fields, including Developmental biology, Mesenchymal stem cell, Human genetics and Cancer research.
The subject of his Induced pluripotent stem cell research is within the realm of Embryonic stem cell.
His Computational biology research extends to Genetics, which is thematically connected.
His work focuses on many connections between Cellular differentiation and other disciplines, such as Cell therapy, that overlap with his field of interest in Drug discovery and Pharmacology.
He most often published in these fields:
- Cell biology (53.37%)
- Stem cell (50.31%)
- Induced pluripotent stem cell (47.24%)
What were the highlights of his more recent work (between 2019-2021)?
- Cell biology (53.37%)
- Stem cell (50.31%)
- Cell (7.98%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cell biology, Stem cell, Cell, Senescence and Transcriptome.
The study incorporates disciplines such as Chromatin and Phenotype in addition to Cell biology.
His Stem cell study incorporates themes from Developmental biology, Induced pluripotent stem cell, Regeneration, Mesenchymal stem cell and Human genetics.
He combines subjects such as Cell Plasticity, Cellular differentiation, Cockayne syndrome and Cell fate determination with his study of Induced pluripotent stem cell.
His Senescence research incorporates themes from Endogenous retrovirus, Heterochromatin, Epigenetics and Nuclear lamina.
His Progeria study is related to the wider topic of Genetics.
Between 2019 and 2021, his most popular works were:
- Single-Cell Transcriptomic Atlas of Primate Ovarian Aging. (62 citations)
- The ageing epigenome and its rejuvenation. (58 citations)
- Caloric Restriction Reprograms the Single-Cell Transcriptional Landscape of Rattus Norvegicus Aging. (50 citations)
In his most recent research, the most cited papers focused on:
Guang-Hui Liu mainly focuses on Stem cell, Cell biology, Transcriptome, Cell and Ageing.
His Stem cell research includes themes of Adult stem cell, Induced pluripotent stem cell, Innate immune system, Mesenchymal stem cell and Sirtuin.
His research in Adult stem cell intersects with topics in Senescence, Nuclear lamina, Chromatin, Heterochromatin and Neural stem cell.
The study of Cell biology is intertwined with the study of Cockayne syndrome in a number of ways.
His work deals with themes such as Phenotype, Coronary arteries, Transcription factor and Primate, which intersect with Transcriptome.
His studies in Cell integrate themes in fields like Inflammation, Andrology, Granulosa cell and Immune system.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
