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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Acute kidney injury-attributable mortality in critically ill patients with sepsis
Zhiyi Wang, Jie Weng, Jinwen Yang, et al.
PeerJ (2022) Vol. 10, pp. e13184-e13184
Open Access | Times Cited: 11

Showing 11 citing articles:

Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury
Jijun Yang, Hongbing Peng, Youhong Luo, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 15
Nephrotoxicity caused by colistin use in ICU: a single centre experience
İsa Kılıç, Yavuz Ayar, İlkay Ceylan, et al.
BMC Nephrology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 11
A proof-of-concept assay for quantitative and optical assessment of drug-induced toxicity in renal organoids
Jasmin Dilz, Isabel Auge, Kathrin Groeneveld, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Attributable mortality of acute kidney injury among critically ill patients with sepsis: a multicenter, retrospective cohort study
Donghui Wang, Jinchao Zhao, Xiuming Xi, et al.
BMC Nephrology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms
Yongbin Wang, Xu Sun, Jianhong Lu, et al.
Annals of Medicine (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 2
Acute kidney injury should not be neglected – optimization of quick Pitt bacteremia score for predicting mortality in critically ill patients with bloodstream infection: a retrospective cohort study
Jiaqi Cai, Ming Yang, Han Deng, et al.
Therapeutic Advances in Infectious Disease (2024) Vol. 11
Open Access | Times Cited: 1
A dynamic model to predict early occurrence of acute kidney injury in ICU hospitalized cirrhotic patients: a MIMIC database analysis
Huilan Tu, Junwei Su, Kai Gong, et al.
BMC Gastroenterology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Amikacin-induced acute kidney injury in mechanically ventilated critically ill patients with sepsis
Bişar Ergün, Fethiye Esenkaya, Murat Küçük, et al.
Journal of Chemotherapy (2022) Vol. 35, Iss. 6, pp. 496-504
Closed Access | Times Cited: 4
Development and Validation of a dynamic online nomogram predicting acute kidney injury in critically ill patients with cirrhosis
Huilan Tu, Junwei Su, Kai Gong, et al.
Research Square (Research Square) (2024)
Open Access
Identification of mortality risk factors in the intensive care unit (ICU)
Ardi Pramono, Basuki Rahmat, Akhmad Syaiful Fatah Husain, et al.
AIP conference proceedings (2024) Vol. 3165, pp. 070002-070002
Closed Access
Analysis of Risk Factors for the Prognosis of Neonatal Early-Onset Sepsis Associated Acute Kidney Injury
漫 汪
Advances in Clinical Medicine (2024) Vol. 14, Iss. 06, pp. 213-220
Closed Access
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