What is he best known for?
The fields of study he is best known for:
Jae Youl Cho mostly deals with Pharmacology, Biochemistry, Tumor necrosis factor alpha, Kinase and Nitric oxide.
His study in Pharmacology is interdisciplinary in nature, drawing from both Lipopolysaccharide, Tyrosine kinase and In vivo.
His research in Biochemistry focuses on subjects like Cynaropicrin, which are connected to Pharmacognosy and Biological activity.
Jae Youl Cho interconnects Necrosis, Lymphocyte proliferation, Interferon and Cytokine in the investigation of issues within Tumor necrosis factor alpha.
Jae Youl Cho has researched Kinase in several fields, including NF-κB, IκB kinase and IκBα.
His research in Nitric oxide intersects with topics in Interleukin, Arachidonic acid and Croton oil.
His most cited work include:
- In vitro anti-inflammatory effects of cynaropicrin, a sesquiterpene lactone, from Saussurea lappa. (250 citations)
- In vitro anti-inflammatory effects of cynaropicrin, a sesquiterpene lactone, from Saussurea lappa. (250 citations)
- Role of ginsenosides, the main active components of Panax ginseng, in inflammatory responses and diseases (179 citations)
What are the main themes of his work throughout his whole career to date?
Pharmacology, Biochemistry, Cell biology, Kinase and Tumor necrosis factor alpha are his primary areas of study.
His Pharmacology research is multidisciplinary, incorporating elements of Lipopolysaccharide, Nitric oxide, Proto-oncogene tyrosine-protein kinase Src and Syk.
His work carried out in the field of Lipopolysaccharide brings together such families of science as U937 cell, Cyclooxygenase, Proinflammatory cytokine, Macrophage and In vivo.
His work deals with themes such as Cordyceps and Cell culture, which intersect with Biochemistry.
His Kinase study incorporates themes from Molecular biology and IκB kinase.
The Tumor necrosis factor alpha study combines topics in areas such as Inflammation, Interleukin, Cytokine and Lymphocyte proliferation.
He most often published in these fields:
- Pharmacology (34.91%)
- Biochemistry (30.17%)
- Cell biology (20.69%)
What were the highlights of his more recent work (between 2017-2021)?
- Pharmacology (34.91%)
- Signal transduction (14.87%)
- Cell biology (20.69%)
In recent papers he was focusing on the following fields of study:
Jae Youl Cho mainly focuses on Pharmacology, Signal transduction, Cell biology, MAPK/ERK pathway and Proto-oncogene tyrosine-protein kinase Src.
His Pharmacology research is multidisciplinary, relying on both Tumor necrosis factor alpha, Lipopolysaccharide, Inflammation and In vivo.
His research integrates issues of Nitric oxide synthase, Nitric oxide and Olea in his study of Tumor necrosis factor alpha.
Jae Youl Cho has included themes like Autophagy, TRPV1, Activator and Cyclic adenosine monophosphate in his Cell biology study.
His Proto-oncogene tyrosine-protein kinase Src research integrates issues from IκBα and Syk.
His Kinase research incorporates elements of Extracellular and Molecular biology.
Between 2017 and 2021, his most popular works were:
- Anti-inflammatory effects of luteolin: A review of in vitro, in vivo, and in silico studies. (106 citations)
- Skin Protective Effect of Epigallocatechin Gallate. (31 citations)
- Photoaging protective effects of BIOGF1K, a compound-K-rich fraction prepared from Panax ginseng. (31 citations)
In his most recent research, the most cited papers focused on:
Jae Youl Cho focuses on Signal transduction, Cell biology, Pharmacology, p38 mitogen-activated protein kinases and Kinase.
His Pharmacology research is multidisciplinary, incorporating perspectives in Tumor necrosis factor alpha, Proto-oncogene tyrosine-protein kinase Src, Luteolin, Cytotoxicity and In vivo.
The concepts of his Tumor necrosis factor alpha study are interwoven with issues in Interleukin and Lipopolysaccharide.
His Lipopolysaccharide research includes themes of Colitis and Nitric oxide.
His Kinase study combines topics in areas such as Protein kinase B and Syk.
His Biochemistry research incorporates themes from Photoaging and Traditional medicine.
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.
