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For: de Caestecker M, Harris R. Translating Knowledge Into Therapy for Acute Kidney Injury. Semin Nephrol 2018;38:88-97. [PMID: 29291764 DOI: 10.1016/j.semnephrol.2017.09.008] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Vaidya VS. Introduction: Kidney Safety Science. Semin Nephrol 2019;39:117-9. [PMID: 30827334 DOI: 10.1016/j.semnephrol.2018.12.001] [Reference Citation Analysis]
2 Kellum JA, Wen X, de Caestecker MP, Hukriede NA. Sepsis-Associated Acute Kidney Injury: A Problem Deserving of New Solutions. Nephron 2019;143:174-8. [PMID: 31018211 DOI: 10.1159/000500167] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
3 Zarjou A, Black LM, Bolisetty S, Traylor AM, Bowhay SA, Zhang MZ, Harris RC, Agarwal A. Dynamic signature of lymphangiogenesis during acute kidney injury and chronic kidney disease. Lab Invest 2019;99:1376-88. [PMID: 31019289 DOI: 10.1038/s41374-019-0259-0] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 4.7] [Reference Citation Analysis]
4 Scarfe L, Menshikh A, Newton E, Zhu Y, Delgado R, Finney C, de Caestecker MP. Long-term outcomes in mouse models of ischemia-reperfusion-induced acute kidney injury. Am J Physiol Renal Physiol 2019;317:F1068-80. [PMID: 31411074 DOI: 10.1152/ajprenal.00305.2019] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
5 Hulse M, Rosner MH. Drugs in Development for Acute Kidney Injury. Drugs 2019;79:811-21. [PMID: 31004331 DOI: 10.1007/s40265-019-01119-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 4.7] [Reference Citation Analysis]
6 Wu CK, Wu CL, Su TC, Kou YR, Kor CT, Lee TS, Tarng DC. Renal Tubular TRPA1 as a Risk Factor for Recovery of Renal Function from Acute Tubular Necrosis. J Clin Med 2019;8:E2187. [PMID: 31835897 DOI: 10.3390/jcm8122187] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
7 Chambers BE, Wingert RA. Nephron repair: powered by anaerobic energy metabolism. Ann Transl Med 2019;7:S28. [PMID: 31032308 DOI: 10.21037/atm.2019.01.73] [Reference Citation Analysis]
8 Aslan A, van den Heuvel MC, Stegeman CA, Popa ER, Leliveld AM, Molema G, Zijlstra JG, Moser J, van Meurs M. Kidney histopathology in lethal human sepsis. Crit Care 2018;22:359. [PMID: 30591070 DOI: 10.1186/s13054-018-2287-3] [Cited by in Crossref: 31] [Cited by in F6Publishing: 34] [Article Influence: 7.8] [Reference Citation Analysis]
9 Dachuri V, Song PH, Ku SK, Song CH. Protective Effects of Traditional Herbal Formulas on Cisplatin-Induced Nephrotoxicity in Renal Epithelial Cells via Antioxidant and Antiapoptotic Properties. Evid Based Complement Alternat Med 2020;2020:5807484. [PMID: 32879634 DOI: 10.1155/2020/5807484] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Braga PC, Alves MG, Rodrigues AS, Oliveira PF. Mitochondrial Pathophysiology on Chronic Kidney Disease. Int J Mol Sci 2022;23:1776. [PMID: 35163697 DOI: 10.3390/ijms23031776] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
11 Turner OC, Aeffner F, Bangari DS, High W, Knight B, Forest T, Cossic B, Himmel LE, Rudmann DG, Bawa B, Muthuswamy A, Aina OH, Edmondson EF, Saravanan C, Brown DL, Sing T, Sebastian MM. Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology. Toxicol Pathol 2020;48:277-94. [DOI: 10.1177/0192623319881401] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 5.3] [Reference Citation Analysis]
12 Menshikh A, Scarfe L, Delgado R, Finney C, Zhu Y, Yang H, de Caestecker MP. Capillary rarefaction is more closely associated with CKD progression after cisplatin, rhabdomyolysis, and ischemia-reperfusion-induced AKI than renal fibrosis. Am J Physiol Renal Physiol 2019;317:F1383-97. [PMID: 31509009 DOI: 10.1152/ajprenal.00366.2019] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 3.7] [Reference Citation Analysis]
13 Przepiorski A, Vanichapol T, Espiritu EB, Crunk AE, Parasky E, Mcdaniels MD, Emlet DR, Salisbury R, Happ CL, Vernetti LA, Macdonald ML, Kellum JA, Kleyman TR, Baty CJ, Davidson AJ, Hukriede NA. Modeling oxidative injury response in human kidney organoids. Stem Cell Res Ther 2022;13. [DOI: 10.1186/s13287-022-02752-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Zankar S, Rodriguez RA, Vinas JL, Burns KD. The therapeutic effects of microRNAs in preclinical studies of acute kidney injury: a systematic review protocol. Syst Rev 2019;8:235. [PMID: 31601257 DOI: 10.1186/s13643-019-1150-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
15 de Caestecker M. CDKL5: a promising new therapeutic target for acute kidney injury? Am J Physiol Renal Physiol 2020;319:F865-7. [PMID: 33073588 DOI: 10.1152/ajprenal.00535.2020] [Reference Citation Analysis]
16 Côté JM, Murray PT, Rosner MH. New drugs for acute kidney injury. Curr Opin Crit Care 2020;26:525-35. [PMID: 33027145 DOI: 10.1097/MCC.0000000000000778] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]