Kidney Research and Clinical Practice

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Original Articles

Geographic disparities in kidney function decline: a matched cohort analysis of urban and rural populations in Korea: Ji Eun Kim, Eun Jung Cho, Shin Young Ahn, Gang-Jee Ko, Young Joo Kwon; Received June 4, 2024 Accepted August 22, 2025 Published online December 24, 2025; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Associated factors of osteoporosis and the impact of osteoporosis on all-cause mortality in incident hemodialysis older patients: Seunghye Lee, Yoomee Kang, Yu Ah Hong et al.; Kidney Res Clin Pract. 2026;45(1):110-119. Published online September 18, 2025; DOI: https://doi.org/10.23876/j.krcp.25.093; Full text PubReader ePub PDF Supplementary Material

Prediction model for 6-month mortality in incident older hemodialysis patients in South Korea: Woo Yeong Park, Eunjin Bae, Hui-Seung Lee et al.; Kidney Res Clin Pract. 2025;44(4):664-678. Published online April 25, 2025; DOI: https://doi.org/10.23876/j.krcp.23.224
Web of Science 4 Cited By 5; Full text PubReader ePub PDF Supplementary Material

Study Protocol

Study protocol for a consortium linking health medical records, biospecimens, and biosignals in Korean patients with acute kidney injury (LINKA cohort): Donghwan Yun, Seung Seok Han, Jeonghwan Lee et al.; Received March 2, 2024 Accepted June 28, 2024 Published online November 11, 2024; [Epub ahead of print]
Cited By 1; Full text PubReader ePub PDF

Original Articles

Impact of obesity on renal function in elderly Korean adults: a national population-based cohort study: Jihyun Yang, Hui Seung Lee, Chi-Yeon Lim et al.; Kidney Res Clin Pract. 2026;45(1):65-76. Published online February 22, 2024; DOI: https://doi.org/10.23876/j.krcp.23.187
Cited By 3; Full text PubReader ePub PDF

Association between dementia diagnosis at dialysis initiation and mortality in older patients with end-stage kidney disease in South Korea: Byung Min Ye, Seongmin Kang, Woo Yeong Park et al.; Kidney Res Clin Pract. 2025;44(2):277-287. Published online February 7, 2024; DOI: https://doi.org/10.23876/j.krcp.23.151
Cited By 1; Full text PubReader ePub PDF Supplementary Material

Target blood pressure in Korean hemodialysis patients for optimal survival: Ji Eun Kim, Yun Jin Choi, Soon-Young Hwang et al.; Kidney Res Clin Pract. 2025;44(2):310-323. Published online November 1, 2023; DOI: https://doi.org/10.23876/j.krcp.22.241
Web of Science 3 Cited By 3; Full text PubReader ePub PDF Supplementary Material

Effect of shared decision-making education on physicians’ perceptions and practices of end-of-life care in Korea: Byung Chul Yu, Miyeun Han, Gang-Jee Ko et al.; Kidney Res Clin Pract. 2022;41(2):242-252. Published online November 29, 2021; DOI: https://doi.org/10.23876/j.krcp.21.071
Web of Science 7 Cited By 8; Full text PubReader ePub PDF Supplementary Material

Volume 45, No. 1

Kidney Research
and
Clinical Practice

Print ISSN: 2211-9132
Online ISSN: 2211-9140

Impact Factor

3.8

MOST VIEWED MOST CITED

27,172	The burden of chronic kidney disease in Asia region: a review of the evidence, current challenges, and future directions
10,130	Management of high-flow arteriovenous access
5,407	Safety and efficacy of glucagon-like peptide 1 receptor agonists in solid organ transplant recipients with diabetes mellitus: a systematic review and meta-analysis
9,006	Precision medicine for focal segmental glomerulosclerosis
7,620	Clinical guidelines for the diagnosis, evaluation, and management of hypertension for Korean children and adolescents: the Korean Working Group of Pediatric Hypertension

Cited By 12	Kidney Health Plan 2033 in Korea: bridging the gap between the present and the future
Cited By 12	Pathogenesis and management of renal fibrosis induced by unilateral ureteral obstruction
Cited By 11	Status and trends in epidemiologic characteristics of diabetic end-stage renal disease: an analysis of the 2021 Korean Renal Data System
Cited By 11	School urinary screening program in Japan: history, outcomes, perspectives
Cited By 11	Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury

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