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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:

Predictive model for bacterial co-infection in patients hospitalized for COVID-19: a multicenter observational cohort study
Maddalena Giannella, Matteo Rinaldi, Giulia Tesini, et al.
Infection (2022) Vol. 50, Iss. 5, pp. 1243-1253
Open Access | Times Cited: 20

Showing 20 citing articles:

Antibiotics Use in COVID-19 Patients: A Systematic Literature Review
Guido Granata, Francesco Schiavone, Giuseppe Pipitone, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 23, pp. 7207-7207
Open Access | Times Cited: 29
Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study
Meagan Carney, Tiana Maria Pelaia, Tracy Chew, et al.
The Lancet Microbe (2024) Vol. 5, Iss. 3, pp. e272-e281
Open Access | Times Cited: 5
A model for COVID-19 and bacterial pneumonia coinfection with community- and hospital-acquired infections
Ángel Pérez, David A. Oluyori
Mathematical Modelling and Numerical Simulation with Applications (2022)
Open Access | Times Cited: 23
Antibiotic Prescription and In-Hospital Mortality in COVID-19: A Prospective Multicentre Cohort Study
Larisa Pinte, Alexandr Ceasovschih, Cristian‐Mihail Niculae, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 877-877
Open Access | Times Cited: 21
An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe
Amalia-Stefana Timpau, Radu-Ștefan Miftode, Irina‐Iuliana Costache, et al.
Antibiotics (2023) Vol. 12, Iss. 1, pp. 144-144
Open Access | Times Cited: 11
Coinfection and superinfection in ICU critically ill patients with severe COVID-19 pneumonia and influenza pneumonia: are the pictures different?
Ziying Chen, Qingyuan Zhan, Linna Huang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 7
"Multidrug-Resistant Bacteria Related to Covid-19 Infection: A Minireview"
JOSÉ ALEXANDRE DA ROCHA CURVELO
Biomedical Journal of Scientific & Technical Research (2024) Vol. 55, Iss. 3
Open Access | Times Cited: 1
Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study
Min Wang, Wenjuan Li, Hui Wang, et al.
Antimicrobial Resistance and Infection Control (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1
The Evolving Challenge of Appropriate Antibiotics Use in Hospitalized COVID-19 Patients: A Systematic Literature Review
Guido Granata, Stefania Cicalini
Antibiotics (2024) Vol. 13, Iss. 6, pp. 545-545
Open Access | Times Cited: 1
Epidemiological Impact on Use of Antibiotics in Patients Hospitalized for COVID-19: A Retrospective Cohort Study in Italy
Zaira Maraia, Tony Mazzoni, Miriana Pia Turtora, et al.
Antibiotics (2023) Vol. 12, Iss. 5, pp. 912-912
Open Access | Times Cited: 3
An Observational Study to Develop a Predictive Model for Bacterial Pneumonia Diagnosis in Severe COVID-19 Patients—C19-PNEUMOSCORE
Eloisa Sofia Tanzarella, Joel Vargas, Marco Menghini, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 14, pp. 4688-4688
Open Access | Times Cited: 3
Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study
Min Wang, Wenjuan Li, Hui Wang, et al.
Research Square (Research Square) (2024)
Open Access
A Novel Nomogram for the Early Identification of Coinfections in Elderly Patients with COVID-19
Zou Ju, Xiaoxu Wang, Jie Li, et al.
(2024)
Closed Access
In Vitro and In Vivo Studies on a Mononuclear Ruthenium Complex Reveals It is a Highly Effective, Fast-Acting, Broad-Spectrum Antimicrobial in Physiologically Relevant Conditions
Adam M. Varney, Kirsty L. Smitten, Hannah M. Southam, et al.
ACS Infectious Diseases (2024) Vol. 10, Iss. 9, pp. 3346-3357
Open Access
Are C-reactive protein and procalcitonin safe and useful for antimicrobial stewardship purposes in patients with COVID-19? A scoping review
Anita Williams, Ernestina Repetto, Ishmael Lebbie, et al.
Antimicrobial Stewardship & Healthcare Epidemiology (2024) Vol. 4, Iss. 1
Open Access
A novel nomogram for the early identification of coinfections in elderly patients with COVID-19
Zou Ju, Xiaoxu Wang, Jie Li, et al.
(2024)
Closed Access
A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective
Alejandro Rodríguez, Josep Gómez, Ignacio Martín‐Loeches, et al.
Antibiotics (2024) Vol. 13, Iss. 10, pp. 968-968
Open Access
Frequent Cardiovascular Manifestations Associated With SARS Cov-2 Infection: Experience at a Tertiary Hospital In Cali, Colombia
D. Casanova, E Escobar, Luis Álvaro Melo-Burbano, et al.
International Journal of Cardiovascular Sciences (2023) Vol. 36
Open Access | Times Cited: 1
Empiric Antibiotics in COVID-19 Patients: To Give or Not to Give*
Ramzy H. Rimawi, Ahmad Khalid Almuti
Critical Care Medicine (2023) Vol. 51, Iss. 9, pp. 1267-1269
Closed Access
Bacterial coinfection in the critically-ill COVID-19 patient: incidence, impact and need for antimicrobial therapy
Pablo Vidal, Jorge Nieto del Olmo, Ana Isabel Tizón Varela, et al.
Revista Española de Quimioterapia (2023) Vol. 36, Iss. 6, pp. 612-620
Open Access
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