What is he best known for?
The fields of study he is best known for:
Afshin Samali focuses on Cell biology, Apoptosis, Unfolded protein response, Endoplasmic reticulum and Programmed cell death.
His study connects Cell and Cell biology.
His Apoptosis study combines topics in areas such as Heat shock protein, Molecular biology, Cancer research and Cytosol.
His studies in Unfolded protein response integrate themes in fields like Transcription factor and Cellular homeostasis.
His Endoplasmic reticulum research is multidisciplinary, incorporating elements of Neurodegeneration and EIF-2 kinase.
His Programmed cell death research incorporates elements of Autophagy, BECN1, Autophagosome, Necrosis and Computational biology.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Mediators of endoplasmic reticulum stress-induced apoptosis. (1665 citations)
- Triggering and modulation of apoptosis by oxidative stress. (1094 citations)
What are the main themes of his work throughout his whole career to date?
Afshin Samali mainly investigates Cell biology, Apoptosis, Unfolded protein response, Programmed cell death and Endoplasmic reticulum.
Afshin Samali has researched Cell biology in several fields, including Heat shock protein, Cell and Tumor necrosis factor alpha.
His Apoptosis study incorporates themes from Necrosis, Receptor, Cancer research and Immunology.
His work on ATF6 is typically connected to XBP1 as part of general Unfolded protein response study, connecting several disciplines of science.
His Autophagy research extends to Programmed cell death, which is thematically connected.
His work carried out in the field of Endoplasmic reticulum brings together such families of science as Secretory protein, Downregulation and upregulation, EIF-2 kinase and Cellular homeostasis.
He most often published in these fields:
- Cell biology (56.22%)
- Apoptosis (42.86%)
- Unfolded protein response (39.17%)
What were the highlights of his more recent work (between 2015-2021)?
- Unfolded protein response (39.17%)
- Cancer research (23.96%)
- Endoplasmic reticulum (29.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Unfolded protein response, Cancer research, Endoplasmic reticulum, Cell biology and Programmed cell death.
The ATF6 research he does as part of his general Unfolded protein response study is frequently linked to other disciplines of science, such as XBP1, therefore creating a link between diverse domains of science.
His Cancer research research incorporates themes from Cancer cell, Cell, Cell culture and Apoptosis.
His study in the field of STIM1 also crosses realms of Membrane contact site.
His Cell biology research incorporates themes from Inflammasome, Downregulation and upregulation and Cellular homeostasis.
His research integrates issues of Autophagy, HEK 293 cells, Chemotherapy and Heat shock protein in his study of Programmed cell death.
Between 2015 and 2021, his most popular works were:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- The integrated stress response. (725 citations)
- Endoplasmic Reticulum Stress signalling - from basic mechanisms to clinical applications (192 citations)
In his most recent research, the most cited papers focused on:
Afshin Samali spends much of his time researching Unfolded protein response, Endoplasmic reticulum, Cancer research, Programmed cell death and Cell biology.
His ATF6 study in the realm of Unfolded protein response connects with subjects such as XBP1.
His study on STIM1 is often connected to Membrane contact site as part of broader study in Endoplasmic reticulum.
His work is dedicated to discovering how Cancer research, Cancer are connected with Gene expression and Transcriptome and other disciplines.
His Programmed cell death research is multidisciplinary, relying on both Autophagy, HEK 293 cells, Paclitaxel and Temozolomide.
Cell biology is often connected to Cellular homeostasis in his work.
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.
