What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
Jian Q. Feng spends much of his time researching Cell biology, Internal medicine, Endocrinology, DMP1 and Osteoblast.
The various areas that he examines in his Cell biology study include Dental alveolus, Anatomy and Pathology.
In Internal medicine, he works on issues like Bone morphogenetic protein, which are connected to Wnt signaling pathway.
His biological study spans a wide range of topics, including Regulation of gene expression and Fibroblast growth factor.
His DMP1 study integrates concerns from other disciplines, such as Mineralized tissues, Pulp, Dentin, Odontoblast and Gene targeting.
His studies deal with areas such as Immunology, Bone marrow, Osteoprotegerin and Cellular differentiation as well as Osteoblast.
His most cited work include:
- Identification of the haematopoietic stem cell niche and control of the niche size (2532 citations)
- Evidence for osteocyte regulation of bone homeostasis through RANKL expression (1066 citations)
- Loss of DMP1 causes rickets and osteomalacia and identifies a role for osteocytes in mineral metabolism (896 citations)
What are the main themes of his work throughout his whole career to date?
Jian Q. Feng mainly investigates Cell biology, DMP1, Endocrinology, Internal medicine and Osteocyte.
He combines subjects such as Osteoblast, Anatomy and Dentin, Odontoblast with his study of Cell biology.
His Osteoblast study incorporates themes from Cellular differentiation and Bone marrow.
His DMP1 research is multidisciplinary, incorporating perspectives in Transgene, Fibroblast growth factor 23, Hypophosphatemic Rickets, Pathology and Molecular biology.
His Internal medicine research includes themes of In vivo, Bone morphogenetic protein and Conditional gene knockout.
His work in Osteocyte covers topics such as Bone remodeling which are related to areas like Osteoclast.
He most often published in these fields:
- Cell biology (53.97%)
- DMP1 (33.33%)
- Endocrinology (25.40%)
What were the highlights of his more recent work (between 2018-2021)?
- Cell biology (53.97%)
- Wnt signaling pathway (7.41%)
- Bone cell (10.05%)
In recent papers he was focusing on the following fields of study:
Jian Q. Feng mainly focuses on Cell biology, Wnt signaling pathway, Bone cell, DMP1 and Osteocyte.
His Cell biology research incorporates elements of Cementum and Cell fate determination.
His Wnt signaling pathway research includes elements of Stem cell and Odontoblast.
The study incorporates disciplines such as Chondrogenesis, Chondrocyte and Cartilage in addition to Bone cell.
His research in DMP1 intersects with topics in NFIC, Dentin sialoprotein, Odontoblast differentiation and Fibroblast growth factor 23.
His studies in Osteocyte integrate themes in fields like Endoplasmic reticulum, Internal medicine, GTPase and Endocrinology.
Between 2018 and 2021, his most popular works were:
- DMP1 prevents osteocyte alterations, FGF23 elevation and left ventricular hypertrophy in mice with chronic kidney disease. (19 citations)
- Resveratrol represses tumor necrosis factor α/c-Jun N-terminal kinase signaling via autophagy in human dental pulp stem cells. (12 citations)
- DMP1 Ablation in the Rabbit Results in Mineralization Defects and Abnormalities in Haversian Canal/Osteon Microarchitecture. (9 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His primary scientific interests are in Cell biology, Osteocyte, Sclerostin, RANKL and Osteoclast.
His Cell biology research integrates issues from Cementum and Periodontal fiber.
His study in Cementum is interdisciplinary in nature, drawing from both Dental alveolus, Periodontium, Stem cell, AXIN2 and GLI1.
His Osteocyte research incorporates themes from Endoplasmic reticulum, Tissue homeostasis, GTPase and Homeostasis.
The concepts of his RANKL study are interwoven with issues in Focal adhesion, Bone marrow, Bone resorption and Osteoblast.
His Wnt signaling pathway research is multidisciplinary, relying on both Dental cementum, Genetically modified mouse, Mesenchymal stem cell and Cellular origin.
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.
