Kidney Research and Clinical Practice

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Special Articles

The impact of body mass index on mortality according to age in hemodialysis patients: an analysis of the Korean Renal Data System: Hyunglae Kim, Seon A Jeong, Yoonjung Cho et al.; Received June 13, 2024 Accepted November 18, 2024 Published online January 16, 2025; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Original Articles

Predicting long-term mortality of patients with postoperative acute kidney injury following noncardiac general anesthesia surgery using machine learning: Bo Yeon Choi, Wona Choi, Jiwon Min et al.; Received April 12, 2024 Accepted July 1, 2024 Published online September 26, 2024; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Mortality in patients receiving renal replacement therapy in South Korea: BeongWoo Kim, Chan Il Park, Yu Ah Hong et al.; Received January 30, 2024 Accepted April 6, 2024 Published online July 24, 2024; [Epub ahead of print]
Cited By 1; Full text PubReader ePub PDF Supplementary Material

Special Article

Trends in clinical outcomes of older hemodialysis patients: data from the 2023 Korean Renal Data System (KORDS): Hyunglae Kim, Seon A Jeong, Kyeong Min Kim et al.; Kidney Res Clin Pract. 2024;43(3):263-273. Published online May 28, 2024; DOI: https://doi.org/10.23876/j.krcp.23.267
Cited By 2; Full text PubReader ePub PDF Supplementary Material

Status and trends in epidemiologic characteristics of diabetic end-stage renal disease: an analysis of the 2021 Korean Renal Data System: Kyeong Min Kim, Seon A Jeong, Tae Hyun Ban et al.; Kidney Res Clin Pract. 2024;43(1):20-32. Published online January 25, 2024; DOI: https://doi.org/10.23876/j.krcp.23.130
Web of Science 2 Cited By 4; Full text PubReader ePub PDF Supplementary Material

Original Articles

Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells: Keonhyeok Park, Jong Young Lee, Soo Young Lee et al.; Kidney Res Clin Pract. 2023;42(1):75-85. Published online September 8, 2022; DOI: https://doi.org/10.23876/j.krcp.22.017
Web of Science 18 Cited By 17; Full text PubReader ePub PDF

Fabry disease exacerbates renal interstitial fibrosis after unilateral ureteral obstruction via impaired autophagy and enhanced apoptosis: Sungjin Chung, Mina Son, Yura Chae et al.; Kidney Res Clin Pract. 2021;40(2):208-219. Published online May 21, 2021; DOI: https://doi.org/10.23876/j.krcp.20.264
Web of Science 17 Cited By 17; Full text PubReader ePub PDF Supplementary Material

Special Article

Trends in epidemiologic characteristics of end-stage renal disease from 2019 Korean Renal Data System (KORDS): Yu Ah Hong, Tae Hyun Ban, Chae-Yeong Kang et al.; Kidney Res Clin Pract. 2021;40(1):52-61. Published online March 25, 2021; DOI: https://doi.org/10.23876/j.krcp.20.202
Web of Science 78 Cited By 92; Full text PubReader ePub PDF Supplementary Material

Original Articles

Clinical outcomes of infection-related hospitalization in incident peritoneal dialysis patients: Youngdong Jeon, Hyung Duk Kim, Yu Ah Hong et al.; Kidney Res Clin Pract. 2020;39(4):460-468. Published online November 13, 2020; DOI: https://doi.org/10.23876/j.krcp.20.069
Web of Science 5 Cited By 4; Full text PubReader PDF

The differential effects of anemia on mortality in young and elderly end-stage renal disease patients: Eun Jeong Ko, Yong Kyun Kim, Jang-Hee Cho et al.; Kidney Res Clin Pract. 2020;39(2):192-201. Published online June 30, 2020; DOI: https://doi.org/10.23876/j.krcp.19.120
Web of Science 5 Cited By 4; Full text PubReader PDF

Comparison of uremic pruritus between patients undergoing hemodialysis and peritoneal dialysis: Ji-Won Min, Su-Hyun Kim, Young Ok Kim et al.; Kidney Res Clin Pract. 2016;35(2):107-113. Published online February 21, 2016; DOI: https://doi.org/10.1016/j.krcp.2016.02.002
Web of Science 36 Cited By 43; Full text PubReader PDF

Special Article

Lessons from 30 years’ data of Korean end-stage renal disease registry, 1985–2015: Dong-Chan Jin, Sung Ro Yun, Seoung Woo Lee et al.; Kidney Res Clin Pract. 2015;34(3):132-139. Published online August 20, 2015; DOI: https://doi.org/10.1016/j.krcp.2015.08.004
Web of Science 96 Cited By 95; Full text PubReader PDF

Volume 43, No. 6

Kidney Research
and
Clinical Practice

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

Impact Factor

2.9

MOST VIEWED MOST CITED

4,230	Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury
3,438	Personalized nutritional management in the transition from non-dialysis dependent chronic kidney disease to dialysis
12,457	How should we treat acute kidney injury caused by renal congestion?
3,335	Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs
3,890	Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach

Cited By 19	Uremic pruritus: pathophysiology, clinical presentation, and treatments
Cited By 17	Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells
Cited By 14	The flavonoid fisetin ameliorates renal fibrosis by inhibiting SMAD3 phosphorylation, oxidative damage, and inflammation in ureteral obstructed kidney in mice
Cited By 14	Acute kidney disease: an overview of the epidemiology, pathophysiology, and management
Cited By 12	An update on renal fibrosis: from mechanisms to therapeutic strategies with a focus on extracellular vesicles

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