Projects per year
Organization profile
Organisation profile
There are 21 nephrologists in the Division of Nephrology, including 4 professors, 3 associate professors, 3 assistant professors, 6 lecturers. Our clinical service encompasses more than 1000 hemodialysis patients, more than 200 peritoneal dialysis patients, 150 renal transplantation and more than 2000 acute kidney injury patients. Our research focuses on big data analysis in clinical nephrology, Klotho, calcium channel, microRNA, genetic susceptibility in kidney diseases, inflammation and different animal models in kidney diseases. We are devoted to develop the characteristic features in each hospital, promote our ability in research and develop the international connection.Fingerprint
Dive into the research topics where Division of Nephrology is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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Profiles
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Cheng-Hsien Chen
- Division of Nephrology - Associate Professor
- Taipei Municipal Wanfang Hospital - Medical Research Fellow
- TMU Research Center of Urology and Kidney - Member
Person: Researcher
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Hsi-Hsien Chen
- Division of Nephrology - Professor
- Taipei Medical University Hospital - Visiting Staff
- TMU Research Center of Urology and Kidney - Member
Person: Researcher
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Tso-Hsiao Chen
- Division of Nephrology - Professor
- Graduate Institute of Clinical Medicine - Joint-Appointment Professor
- Taipei Municipal Wanfang Hospital - Visiting Staff
- TMU Research Center of Urology and Kidney - Member
Person: Researcher
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Investigate the Complement Activation and Biological Functions of Exosomes in Iga Nephropathy
8/1/22 → 7/31/23
Project: A - Government Institution › b - Ministry of Science and Technology
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Utilizing Cellular Indexing of Transcriptomics and Epitopes by Single-Cell Sequencing to Decipher the Role of Kidney Mononuclear Phagocyte System during Kidney Injury, Recovery, and Fibrosis
8/1/22 → 7/31/23
Project: A - Government Institution › b - Ministry of Science and Technology
Research output
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Assessment of circulating extracellular vesicles from calorie-restricted mice and humans in ischaemic injury models
Jaimes, M. S. V., Liao, C-T., Chen, M. M., Czosseck, A., Lee, T-L., Chou, Y-H., Chen, Y-M., Lin, S-L., Lai, J. J. & Lundy, D. J., 2023, In: Journal of Extracellular Biology. 2, 5, p. e86Research output: Contribution to journal › Article › peer-review
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Exploration and biological evaluation of 7-methoxy-3-methyl-1H-chromeno[4,3-c]pyrazol-4-one as an activating transcription factor 3 inducer for managing metabolic syndrome
Chang, Y. H., Lin, H., Li, H. F., Chen, H. H. & Hung, H. Y., Jan 15 2023, In: European Journal of Medicinal Chemistry. 246, 114951.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Exploring the Relevance between Gut Microbiota-Metabolites Profile and Chronic Kidney Disease with Distinct Pathogenic Factor
Chen, T-H., Cheng, C-Y., Huang, C-K., Ho, Y-H. & Lin, J-C., 2023, In: Microbiology spectrum. 11, 1, p. e02805-22Research output: Contribution to journal › Article › peer-review
Datasets
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PowerPoint Slides for: Kidney Cancer Linked to Chronic Hepatitis in the Asia-Pacific: A Population-Based Analysis
Lin, Y. (Creator), Yeh, C. (Creator), Lin, Y. (Creator), Su, C. (Creator), Sung, F. (Creator), Chang, S. (Creator), Liu, Y. (Creator) & Su, F. (Creator), Karger Publishers, 2016
DOI: 10.6084/m9.figshare.4263653.v1, https://karger.figshare.com/articles/figure/PowerPoint_Slides_for_Kidney_Cancer_Linked_to_Chronic_Hepatitis_in_the_Asia-Pacific_A_Population-Based_Analysis/4263653/1
Dataset
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Why do pre-clinical medical students learn ultrasound? Exploring learning motivation through ERG theory
Wang, T. (Creator), Chen, W. (Creator), Kang, Y. (Creator), Lin, C. (Creator), Cheng, C. (Creator), Suk, F. (Creator), Chen, H. (Creator), Hsu, C. (Creator), Fong, T. (Creator) & Huang, W. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.c.5573764.v1, https://springernature.figshare.com/collections/Why_do_pre-clinical_medical_students_learn_ultrasound_Exploring_learning_motivation_through_ERG_theory/5573764/1
Dataset
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Additional file 5: of V-J combinations of T-cell receptor predict responses to erythropoietin in end-stage renal disease patients
Chang, C. (Creator), Chang, W. (Creator), Chang, W. (Creator), Liu, X. (Creator), Kao, C. (Contributor), Wu, M. (Contributor), Wong, H. S. (Creator) & Hsu, Y. (Creator), Figshare, 2017
DOI: 10.6084/m9.figshare.c.3824278_d5.v1, https://doi.org/10.6084%2Fm9.figshare.c.3824278_d5.v1
Dataset