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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:

Predictability performance of urinary C–C motif chemokine ligand 14 and renal resistive index for persistent sepsis-associated acute kidney injury in ICU patients
Wei Jiang, Ting Liao, Jiangquan Yu, et al.
International Urology and Nephrology (2023) Vol. 55, Iss. 8, pp. 1995-2003
Open Access | Times Cited: 10

Showing 10 citing articles:

Renal arterial resistive index versus novel biomarkers for the early prediction of sepsis-associated acute kidney injury
Taysser Zaitoun, Mohamed Megahed, Hesham A. Elghoneimy, et al.
Internal and Emergency Medicine (2024) Vol. 19, Iss. 4, pp. 971-981
Open Access | Times Cited: 7
Performance of urinary C–C motif chemokine ligand 14 for the prediction of persistent acute kidney injury: a systematic review and meta-analysis
Yih‐Ting Chen, Heng‐Chih Pan, Cheng-Kai Hsu, et al.
Critical Care (2023) Vol. 27, Iss. 1
Open Access | Times Cited: 11
Persistent acute kidney injury biomarkers: A systematic review and meta-analysis
Keran Shi, Wei Jiang, Song Lin, et al.
Clinica Chimica Acta (2024) Vol. 564, pp. 119907-119907
Open Access | Times Cited: 4
Performance of urinary C-C motif chemokine ligand 14 and the renal resistive index in predicting persistent AKI
You Fu, Ze Zhang, Cong He, et al.
Renal Failure (2024) Vol. 46, Iss. 2
Open Access | Times Cited: 1
Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
Wei Jiang, Song Lin, Weilei Gong, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 1
Sepsis-Associated Acute Kidney Injury
Ivan E. Saraiva, Syed Zaidi, Stefania Prenna, et al.
Elsevier eBooks (2024)
Closed Access
Predictive value of renal resistive index combined with plasma biomarkers of endothelial cell activation for persistent acute kidney injury in patients with septic shock
Xianpei Chen, Q Zhang, Xiu‐Wei Lai
Hong Kong Journal of Emergency Medicine (2024) Vol. 31, Iss. 5, pp. 213-223
Open Access
Chemokine (C-C Motif) Ligand 14 to Predict Persistent Severe Acute Kidney Injury: a Systematic Review and Meta-analysis.
Nicolas Tebib, Céline Monard, Thomas Rimmelé, et al.
Blood Purification (2024), pp. 1-11
Closed Access
An explainable machine-learning model for predicting persistent sepsis associated acute kidney injury: development, validation, and comparison with CCL14 (Preprint)
Wei Jiang, Yaosheng Zhang, Jiayi Weng, et al.
Journal of Medical Internet Research (2024)
Open Access
Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study (Preprint)
Wei Jiang, Yueyue Zhang, Jiayi Weng, et al.
(2024)
Closed Access
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