What is he best known for?
The fields of study he is best known for:
Mian Wu mainly focuses on Cell biology, Biochemistry, Mutant, Molecular biology and Cancer research.
His studies deal with areas such as Pyroptosis, Apoptosis, Programmed cell death, Paraspeckles and AIM2 as well as Cell biology.
His work carried out in the field of Programmed cell death brings together such families of science as Autophagy, Chaperone-mediated autophagy, BECN1, Autolysosome and Computational biology.
His Autophagosome study in the realm of Autophagy interacts with subjects such as Pore complex.
Mian Wu has included themes like Depsipeptide, P300-CBP Transcription Factors and Trichostatin A in his Molecular biology study.
The concepts of his Cancer research study are interwoven with issues in In vitro, Survivin, Signal transduction, microRNA and Subcellular localization.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- p53 regulates biosynthesis through direct inactivation of glucose-6-phosphate dehydrogenase (424 citations)
- Reciprocal Regulation of HIF-1α and LincRNA-p21 Modulates the Warburg Effect (320 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Cell biology, Molecular biology, Biochemistry, Gene and Apoptosis.
Mian Wu combines subjects such as Cancer cell, Glycolysis, Long non-coding RNA, Gene silencing and Programmed cell death with his study of Cell biology.
The various areas that Mian Wu examines in his Programmed cell death study include Autophagy, Mitochondrion and Puma.
His work deals with themes such as Recombinant DNA, Chromatin immunoprecipitation, Transfection, Open reading frame and Transcription, which intersect with Molecular biology.
The Apoptosis study combines topics in areas such as Cancer research, RNA interference and In vivo.
The study incorporates disciplines such as Non-coding RNA and Computational biology in addition to Circular RNA.
He most often published in these fields:
- Cell biology (80.25%)
- Molecular biology (27.78%)
- Biochemistry (20.99%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (80.25%)
- Long non-coding RNA (26.54%)
- Cancer cell (24.69%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Cell biology, Long non-coding RNA, Cancer cell, Gene silencing and Senescence.
His Cell biology research incorporates elements of Cell growth, Glycolysis, Transactivation, Translation and Glutamine.
As part of the same scientific family, Mian Wu usually focuses on Long non-coding RNA, concentrating on Psychological repression and intersecting with Regulation of gene expression and Cell aging.
His studies in Cancer cell integrate themes in fields like Starvation, Cancer research and Necroptosis.
In his research on the topic of Senescence, Cell fate determination, Downregulation and upregulation, FOSL2 and Transcriptional repressor complex is strongly related with Cell.
His Transcription factor research is multidisciplinary, relying on both Cell cycle checkpoint, Non-coding RNA and Computational biology.
Between 2017 and 2021, his most popular works were:
- GUARDIN is a p53-responsive long non-coding RNA that is essential for genomic stability. (116 citations)
- GUARDIN is a p53-responsive long non-coding RNA that is essential for genomic stability. (116 citations)
- The lncRNA Neat1 promotes activation of inflammasomes in macrophages. (93 citations)
In his most recent research, the most cited papers focused on:
Mian Wu spends much of his time researching Cell biology, Gene silencing, Cancer cell, Glycolysis and Cell growth.
He studies MAPK/ERK pathway, a branch of Cell biology.
His MAPK/ERK pathway research integrates issues from PTBP1, Cell, Senescence and Protein kinase A.
His research investigates the connection between Long non-coding RNA and topics such as Cancer that intersect with problems in Genotoxic Stress.
His c-jun research is multidisciplinary, incorporating elements of Beta oxidation, AMPK and Lipid metabolism.
His AIM2 study incorporates themes from Paraspeckles, Mediator and Stimulation.
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