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:

Evaluating risk stratification scoring systems to predict mortality in patients with COVID-19
Kelly Chu, Batool Alharahsheh, Naveen Garg, et al.
BMJ Health & Care Informatics (2021) Vol. 28, Iss. 1, pp. e100389-e100389
Open Access | Times Cited: 25

Showing 25 citing articles:

Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 12

Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review
Kim Oren Gradel
Journal of Clinical Medicine (2023) Vol. 12, Iss. 19, pp. 6132-6132
Open Access | Times Cited: 12

A Systematic Review of Predictor Composition, Outcomes, Risk of Bias, and Validation of COVID-19 Prognostic Scores
Katharina S. Appel, Ramsia Geisler, Daniel Maier, et al.
Clinical Infectious Diseases (2023) Vol. 78, Iss. 4, pp. 889-899
Open Access | Times Cited: 8

Risk Stratification Model for Severe COVID-19 Disease: A Retrospective Cohort Study
Miri Mizrahi Reuveni, Jennifer Kertes, Shirley Shapiro Ben David, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 767-767
Open Access | Times Cited: 7

Novel Biomarker-Based Score (Sad-60) for Predicting Mortality in Patients with Covid-19 Pneumonia: A Multicenter Retrospective Cohort of 1013 Patients
Serkan Sürme, Gülşah Tunçer, Osman Faruk Bayramlar, et al.
Biomarkers in Medicine (2022) Vol. 16, Iss. 8, pp. 577-588
Open Access | Times Cited: 9

The reporting completeness and transparency of systematic reviews of prognostic prediction models for COVID-19 was poor: a methodological overview of systematic reviews
Persefoni Talimtzi, Antonios Ntolkeras, Georgios Kostopoulos, et al.
Journal of Clinical Epidemiology (2024) Vol. 167, pp. 111264-111264
Closed Access | Times Cited: 1

Upcoming and urgent challenges in critical care research based on COVID-19 pandemic experience
Franck Verdonk, Dorien Feyaerts, Rafael Badenes, et al.
Anaesthesia Critical Care & Pain Medicine (2022) Vol. 41, Iss. 5, pp. 101121-101121
Open Access | Times Cited: 6

Performance of point‐of‐care severity scores to predict prognosis in patients admitted through the emergency department with COVID‐19
Priya A. Prasad, Jessica Correia, Margaret C. Fang, et al.
Journal of Hospital Medicine (2023) Vol. 18, Iss. 5, pp. 413-423
Closed Access | Times Cited: 3

Performance of APACHE II, SOFA, and CURB-65 for death prognosis in COVID-19 critical patients: A prospective cohort study
John Jaime Sprockel Díaz, Anngie Liseth Murcia, M.C. Díaz, et al.
Acta Colombiana de Cuidado Intensivo (2024) Vol. 24, Iss. 2, pp. 98-105
Closed Access

A Retrospective Study of Hospitalized COVID-19 Patients using the CIRC (COVID-19 Inpatient Risk Calculator) Score to Predict Mortality and Severe Disease Progression
R Dr. Nishmita, Gouri Sateesh, Gouri Sateesh, et al.
Scholars Journal of Applied Medical Sciences (2024) Vol. 10, Iss. 05, pp. 648-654
Open Access

Hypocapnia as a predictor of the need for non-invasive mechanical ventilation in subjects with SARS-CoV-2 related pneumonia
Stefano De Vuono, Sokol Berisha, Laura Settimi, et al.
Emergency Care Journal (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 1

Association of APACHE II and SOFA Scores with Mortality in Severe COVID-19 Patients Undergoing Invasive Mechanical Ventilation: A Retrospective Study
Gülbahar Çalışkan, Olgun Deniz, Banu OTLAR CAN, et al.
Ege Tıp Bilimleri Dergisi (2023) Vol. 6, Iss. 1, pp. 19-24
Open Access | Times Cited: 1

Prognostic and discriminatory abilities of imaging scoring systems in predicting COVID‐19 adverse outcomes
Omneya A. Kandil, Anas Elgenidy, Patrick Saba, et al.
iRadiology (2023) Vol. 1, Iss. 2, pp. 128-140
Open Access | Times Cited: 1

A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes
Amirhossein Sahebkar, Mitra Abbasifard, Samira Chaibakhsh, et al.
Methods in molecular biology (2022), pp. 395-404
Closed Access | Times Cited: 2

Validation of a simple risk stratification tool for COVID-19 mortality
Angela Horvath, Theresa Lind, Natalie Frece, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 2

The MaD-CLINYC score: An easy tool for the prediction of the outcome of hospitalized COVID-19 patients.
M V Koutroulos, S A Bakola, S Kalpakidis, et al.
PubMed (2021) Vol. 25, Iss. 3, pp. 119-125
Closed Access | Times Cited: 1

Development and validation of a scoring system to predict mortality in patients hospitalized with COVID-19: A retrospective cohort study in two large hospitals in Ecuador
Iván Dueñas-Espín, María Echeverría-Mora, Camila Montenegro-Fárez, et al.
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0288106-e0288106
Open Access

Unraveling the Predictive Potential of Rapid Scoring in Pleural Infection: A Critical Review
Srinivasulareddy Annareddy, Babaji Ghewade, Ulhas Jadhav, et al.
Cureus (2023)
Open Access

Perbandingan Prediktor Mortalitas Pasien COVID - 19
Adhrie Sugiarto
Majalah Anestesia & Critical Care (2022) Vol. 40, Iss. 3, pp. 131-133
Open Access

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