What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
His primary areas of investigation include Cartilage, Cell biology, Endocrinology, Internal medicine and Signal transduction.
His study in the field of Chondrocyte is also linked to topics like Aggrecan.
His work investigates the relationship between Cell biology and topics such as Cellular differentiation that intersect with problems in Cancer research, Stem cell and CD44.
His Endocrinology research includes themes of Inflammation, Basic fibroblast growth factor, Extracellular matrix and Tendon.
His research on Internal medicine often connects related areas such as Chondrogenesis.
His Signal transduction study integrates concerns from other disciplines, such as Receptor and Stimulation.
His most cited work include:
- Osteoarthritis: toward a comprehensive understanding of pathological mechanism. (287 citations)
- A current review of molecular mechanisms regarding osteoarthritis and pain (249 citations)
- MMP13 is a critical target gene during the progression of osteoarthritis (222 citations)
What are the main themes of his work throughout his whole career to date?
Cell biology, Cartilage, Internal medicine, Endocrinology and Signal transduction are his primary areas of study.
The Cell biology study combines topics in areas such as Ex vivo, Matrix metalloproteinase, Intervertebral disc and Fibroblast growth factor.
His Cartilage research incorporates elements of Immunology and Pathology.
His studies in Internal medicine integrate themes in fields like Regulation of gene expression, Downregulation and upregulation and Osteoblast.
The study incorporates disciplines such as Inflammation, Proinflammatory cytokine and Osteoclast in addition to Endocrinology.
As a part of the same scientific study, Hee Jeong Im usually deals with the Signal transduction, concentrating on Protein kinase A and frequently concerns with Basic fibroblast growth factor.
He most often published in these fields:
- Cell biology (48.18%)
- Cartilage (32.85%)
- Internal medicine (31.39%)
What were the highlights of his more recent work (between 2016-2021)?
- Cell biology (48.18%)
- Vascular endothelial growth factor (14.60%)
- Bioinformatics (8.03%)
In recent papers he was focusing on the following fields of study:
Hee Jeong Im mostly deals with Cell biology, Vascular endothelial growth factor, Bioinformatics, Analgesic and Nerve growth factor.
Hee Jeong Im interconnects Gene, Matrix metalloproteinase and Intervertebral disc in the investigation of issues within Cell biology.
His Matrix metalloproteinase study integrates concerns from other disciplines, such as Proteoglycan, Inflammation and Prostaglandin E2.
His Vascular endothelial growth factor study incorporates themes from Inflammasome, Endocrinology and Cartilage.
His biological study focuses on Endochondral ossification.
His study focuses on the intersection of Internal medicine and fields such as Spinal cord with connections in the field of Proinflammatory cytokine.
Between 2016 and 2021, his most popular works were:
- Osteoarthritis: toward a comprehensive understanding of pathological mechanism. (287 citations)
- Vascular Endothelial Growth Factor in Cartilage Development and Osteoarthritis (34 citations)
- MicroRNA-218-5p as a Potential Target for the Treatment of Human Osteoarthritis (30 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Chondrocyte, Mechanism, Cartilage, Etiology and Physical therapy.
Hee Jeong Im has included themes like Cancer research, Downregulation and upregulation, Immunology, microRNA and PI3K/AKT/mTOR pathway in his Chondrocyte study.
His Mechanism studies intersect with other disciplines such as Pathological, Pathogenesis, Bioinformatics, Meniscus and Disease.
Particularly relevant to Endochondral ossification is his body of work in Cartilage.
His Etiology research includes elements of Assessing Pain and Physical medicine and rehabilitation.
With his scientific publications, his incorporates both Physical therapy and Health care.
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.
