What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Enzyme
Shinichi Uchida mainly investigates Internal medicine, Endocrinology, Cell biology, Phosphorylation and WNK4.
His Internal medicine research includes elements of Cotransporter, Apical membrane and Phosphorylation cascade.
The concepts of his Endocrinology study are interwoven with issues in Bumetanide and Aquaporin 2.
His biological study spans a wide range of topics, including Aquaporin 4, Biochemistry and Patch clamp.
His Phosphorylation research includes themes of Distal convoluted tubule and Kinase.
His WNK4 research is multidisciplinary, incorporating perspectives in WNK1, Pseudohypoaldosteronism and ROMK.
His most cited work include:
- Cloning and expression of apical membrane water channel of rat kidney collecting tubule (869 citations)
- Molecular cloning and expression of a member of the aquaporin family with permeability to glycerol and urea in addition to water expressed at the basolateral membrane of kidney collecting duct cells (514 citations)
- WNK1 Regulates Phosphorylation of Cation-Chloride-coupled Cotransporters via the STE20-related Kinases, SPAK and OSR1 (364 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Internal medicine, Endocrinology, Cell biology, Kidney and WNK4.
Shinichi Uchida frequently studies issues relating to Gastroenterology and Internal medicine.
His Endocrinology study incorporates themes from Cotransporter, Kinase, Epithelial sodium channel and Phosphorylation.
His Cell biology study combines topics from a wide range of disciplines, such as Biochemistry and Aquaporin 2.
Shinichi Uchida interconnects Molecular biology and Knockout mouse in the investigation of issues within Kidney.
His WNK4 research is multidisciplinary, relying on both WNK1, Ubiquitin, Ubiquitin ligase, Mutant and Pseudohypoaldosteronism.
He most often published in these fields:
- Internal medicine (50.92%)
- Endocrinology (38.01%)
- Cell biology (20.66%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (50.92%)
- Endocrinology (38.01%)
- Renal function (7.01%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internal medicine, Endocrinology, Renal function, Kidney disease and Gastroenterology.
His research on Internal medicine frequently links to adjacent areas such as Mutation.
His Endocrinology study integrates concerns from other disciplines, such as Cotransporter and Epithelial sodium channel.
His research in Cotransporter intersects with topics in Proline, Dephosphorylation, Distal convoluted tubule and Kinase.
His work deals with themes such as Fibrosis and Ex vivo, which intersect with Kidney.
His research integrates issues of Protein kinase A, Phosphorylation, Polyuria and Aquaporin 2 in his study of Vasopressin.
Between 2017 and 2021, his most popular works were:
- Regulation of renal Na transporters in response to dietary K. (25 citations)
- Tolvaptan activates the Nrf2/HO-1 antioxidant pathway through PERK phosphorylation. (19 citations)
- AKAPs-PKA disruptors increase AQP2 activity independently of vasopressin in a model of nephrogenic diabetes insipidus (18 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Enzyme
The scientist’s investigation covers issues in Internal medicine, Kidney disease, Endocrinology, Cell biology and Kinase.
Shinichi Uchida has included themes like Gastroenterology, WNK4 and Mutation in his Internal medicine study.
His WNK4 study incorporates themes from Pseudohypoaldosteronism and Distal convoluted tubule.
Shinichi Uchida combines subjects such as Cyclic adenosine monophosphate and Aquaporin 2 with his study of Endocrinology.
His Cell biology research is multidisciplinary, incorporating elements of Downregulation and upregulation, Transporter and Epithelial sodium channel.
His biological study spans a wide range of topics, including Kidney and Phosphorylation.
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.
