What is he best known for?
The fields of study he is best known for:
His primary areas of study are Cell biology, Programmed cell death, Biochemistry, Apoptosis and Autophagy.
His research integrates issues of Caspase, NLRP1 and Bystander effect in his study of Cell biology.
His research in Programmed cell death intersects with topics in Protein kinase A, Dictyostelium discoideum, Drosophila melanogaster, Signal transduction and Necrosis.
The concepts of his Apoptosis study are interwoven with issues in Cancer cell and Glutathione.
His Autophagy research includes themes of Cell culture, PI3K/AKT/mTOR pathway and Lysosome.
His work focuses on many connections between Autophagosome and other disciplines, such as Sequestosome 1, that overlap with his field of interest in Computational biology, MAP1LC3B, Chaperone-mediated autophagy, Autolysosome and BECN1.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Guidelines for the use and interpretation of assays for monitoring autophagy (3242 citations)
- Dual Role of 3-Methyladenine in Modulation of Autophagy via Different Temporal Patterns of Inhibition on Class I and III Phosphoinositide 3-Kinase (716 citations)
What are the main themes of his work throughout his whole career to date?
Cell biology, Autophagy, Programmed cell death, Apoptosis and Biochemistry are his primary areas of study.
His work in PI3K/AKT/mTOR pathway, Mitochondrion, Signal transduction, Reactive oxygen species and Protein kinase A are all subfields of Cell biology research.
His study in Reactive oxygen species is interdisciplinary in nature, drawing from both Oxidative stress, Superoxide dismutase and Catalase.
His Autophagy research incorporates themes from mTORC1 and Lysosome.
His biological study spans a wide range of topics, including Necrosis, Poly ADP ribose polymerase and Cell growth.
The study incorporates disciplines such as Tumor necrosis factor alpha, Cancer research, Cancer cell, Molecular biology and Intracellular in addition to Apoptosis.
He most often published in these fields:
- Cell biology (52.89%)
- Autophagy (41.32%)
- Programmed cell death (32.64%)
What were the highlights of his more recent work (between 2018-2021)?
- Cell biology (52.89%)
- Autophagy (41.32%)
- Programmed cell death (32.64%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cell biology, Autophagy, Programmed cell death, Mitophagy and Mitochondrion.
He has researched Cell biology in several fields, including Cytotoxic T cell, Ubiquitin and TFEB.
His Autophagy study integrates concerns from other disciplines, such as mTORC1, Signal transduction, Lysosome and Gene knockdown.
His research on Programmed cell death concerns the broader Apoptosis.
His research investigates the connection between Apoptosis and topics such as Cancer cell that intersect with problems in Breast cancer, Cell and Cell growth.
His work carried out in the field of Mitophagy brings together such families of science as HEK 293 cells, Reactive oxygen species, Neuroscience and Syntaxin 17.
Between 2018 and 2021, his most popular works were:
- Targeting the Endocytic Pathway and Autophagy Process as a Novel Therapeutic Strategy in COVID-19. (194 citations)
- Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) (38 citations)
- STX17 dynamically regulated by Fis1 induces mitophagy via hierarchical macroautophagic mechanism. (37 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Cell biology, Autophagy, Mitophagy, Programmed cell death and Lysosome.
His Cell biology research focuses on Protein kinase A in particular.
His studies deal with areas such as MAP1LC3B, mTORC1, Mechanistic target of rapamycin and Cyclin B1 as well as Protein kinase A.
He performs multidisciplinary study in Autophagy and C9orf72 in his work.
The various areas that Han-Ming Shen examines in his Programmed cell death study include Chaperone-mediated autophagy, Computational biology and Multicellular organism.
His Lysosome study incorporates themes from Endocytic cycle and Phosphorylation.
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