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:
Platelet-albumin-bilirubin score and neutrophil-to-lymphocyte ratio predict intensive care unit admission in patients with end-stage kidney disease infected with the Omicron variant of COVID-19: a single-center prospective cohort study
Yufen Zhou, Muyin Zhang, Xiaojing Wu, et al.
Renal Failure (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 6
Yufen Zhou, Muyin Zhang, Xiaojing Wu, et al.
Renal Failure (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 6
Showing 6 citing articles:
Disclosing Morbidity and Mortality by Routine Blood Analyses of the Emergency Room in Omicron COVID-19 Patients. A Retrospective Study
Eqrem Rusi, Fiorenza Pennacchia, Wael Abu Ruqa, et al.
(2024)
Open Access | Times Cited: 1
Eqrem Rusi, Fiorenza Pennacchia, Wael Abu Ruqa, et al.
(2024)
Open Access | Times Cited: 1
Blood Count and Renal Functionality Assessments in the Emergency Section Disclose Morbidity and Mortality in Omicron COVID-19 Patients: A Retrospective Study
Eqrem Rusi, Fiorenza Pennacchia, Wael Abu Ruqa, et al.
Clinics and Practice (2024) Vol. 14, Iss. 3, pp. 685-702
Open Access
Eqrem Rusi, Fiorenza Pennacchia, Wael Abu Ruqa, et al.
Clinics and Practice (2024) Vol. 14, Iss. 3, pp. 685-702
Open Access
Application of neutrophil to lymphocyte ratio in ankylosing spondylitis: Based on bibliometric and visualization analysis
Chengzhi Cong, Jian Liu, Hu Yuedi, et al.
Medicine (2024) Vol. 103, Iss. 22, pp. e38364-e38364
Open Access
Chengzhi Cong, Jian Liu, Hu Yuedi, et al.
Medicine (2024) Vol. 103, Iss. 22, pp. e38364-e38364
Open Access
Combined with the semantic features of CT and selected clinical variables, a machine learning model for accurately predicting the prognosis of omicron was established
Di Jin, Zicong Li, Zhikang Deng, et al.
BJR|Open (2024) Vol. 7, Iss. 1
Open Access
Di Jin, Zicong Li, Zhikang Deng, et al.
BJR|Open (2024) Vol. 7, Iss. 1
Open Access
Changing Face of Inflammatory Activation in Complex Coronary Artery Disease during the COVID-19 Pandemic
Tomasz Urbanowicz, Paweł Czub, Anna Olasińska‐Wiśniewska, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 5, pp. 199-199
Open Access
Tomasz Urbanowicz, Paweł Czub, Anna Olasińska‐Wiśniewska, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 5, pp. 199-199
Open Access
The role of the neutrophil-lymphocyte ratio in predicting poor outcomes in COVID-19 patients
Raymond Farah, Rola Khamisy‐Farah, Kacper Dziedzic, et al.
Cardiology Journal (2023) Vol. 31, Iss. 3, pp. 374-380
Open Access
Raymond Farah, Rola Khamisy‐Farah, Kacper Dziedzic, et al.
Cardiology Journal (2023) Vol. 31, Iss. 3, pp. 374-380
Open Access
