What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
His scientific interests lie mostly in Cell biology, Wnt signaling pathway, Immunology, Stem cell and Endocrinology.
In most of his Cell biology studies, his work intersects topics such as Cell growth.
Calvin J. Kuo interconnects Transcription factor and YAP1 in the investigation of issues within Wnt signaling pathway.
His work deals with themes such as Angiogenesis, Apoptosis, Vascular endothelial growth factor, Basement membrane and Receptor, which intersect with Immunology.
His biological study spans a wide range of topics, including Intestinal epithelium and Regeneration.
The various areas that Calvin J. Kuo examines in his Endocrinology study include Immunohistochemistry, Internal medicine and VEGF receptors.
His most cited work include:
- Increased Wnt Signaling During Aging Alters Muscle Stem Cell Fate and Increases Fibrosis (1121 citations)
- A novel chemokine receptor for SDF-1 and I-TAC involved in cell survival, cell adhesion, and tumor development (1054 citations)
- Rapamycin-FKBP specifically blocks growth-dependent activation of and signaling by the 70 kd S6 protein kinases. (983 citations)
What are the main themes of his work throughout his whole career to date?
Calvin J. Kuo focuses on Cell biology, Cancer research, Organoid, Angiogenesis and Internal medicine.
His study on Cell biology is mostly dedicated to connecting different topics, such as Immunology.
In Cancer research, Calvin J. Kuo works on issues like Cell, which are connected to Intestinal mucosa.
His research investigates the link between Organoid and topics such as Cancer that cross with problems in Computational biology and Bioinformatics.
His studies deal with areas such as Receptor, Vascular endothelial growth factor, Blood–brain barrier and Pharmacology as well as Angiogenesis.
The study incorporates disciplines such as Endocrinology and Oncology in addition to Internal medicine.
He most often published in these fields:
- Cell biology (33.69%)
- Cancer research (23.53%)
- Organoid (18.72%)
What were the highlights of his more recent work (between 2017-2021)?
- Organoid (18.72%)
- Cell biology (33.69%)
- Cancer research (23.53%)
In recent papers he was focusing on the following fields of study:
Calvin J. Kuo mainly investigates Organoid, Cell biology, Cancer research, Stem cell and Cancer.
Calvin J. Kuo has researched Organoid in several fields, including Progenitor cell, Precision medicine, Computational biology and Disease.
His work carried out in the field of Cell biology brings together such families of science as Receptor, Innate immune system and Intestinal epithelium.
His research in Cancer research focuses on subjects like Immune system, which are connected to Stromal cell.
His Stem cell study combines topics in areas such as Niche, Cystic fibrosis, Cell type and Kinase activity.
Calvin J. Kuo has included themes like CRISPR, Positron emission tomography, Positron emission, Cisplatin and Cytotoxic T cell in his Cancer study.
Between 2017 and 2021, his most popular works were:
- Organoid Modeling of the Tumor Immune Microenvironment. (302 citations)
- Controlling Epithelial Polarity: A Human Enteroid Model for Host-Pathogen Interactions. (86 citations)
- Engineered materials for organoid systems (81 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
His primary areas of investigation include Cell biology, Organoid, Stem cell, Cancer research and Computational biology.
The concepts of his Cell biology study are interwoven with issues in Epithelium, Intestinal epithelium, Cohesin, HEK 293 cells and Innate immune system.
His Organoid research is multidisciplinary, incorporating perspectives in Progenitor cell, Basal and Lung.
His research in Stem cell intersects with topics in Cystic fibrosis, Gene, Cystic fibrosis transmembrane conductance regulator, Genetic enhancement and Respiratory system.
His Cancer research study integrates concerns from other disciplines, such as Tumor microenvironment, Immune system, Immunotherapy, Cell therapy and Gene delivery.
His Computational biology research incorporates elements of Human physiology, Decellularization and 3D cell culture.
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.
