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:

Medication errors in neonatal intensive care units: a multicenter qualitative study in the Palestinian practice
Ramzi Shawahna, Mohammad Jaber, Rami Said, et al.
BMC Pediatrics (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Developmental Pharmacokinetics of Antibiotics Used in Neonatal ICU: Focus on Preterm Infants
О. И. Бутранова, Elena A. Ushkalova, S. К. Zyryanov, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 940-940
Open Access | Times Cited: 14

The Prevalence of Factors Contributing to Drug-Related Complications in Neonates with Sepsis
Nazila Moftian, Atefeh Esfandiari, Peyman Rezaei‐Hachesu, et al.
Journal of Reports in Pharmaceutical Sciences (2025) Vol. 12, Iss. 1
Open Access

Barriers and enablers for safe medication administration in adult and neonatal intensive care units mapped to the behaviour change wheel
Felicity Dick‐Smith, Margaret Fry, R. Salter, et al.
Nursing in Critical Care (2023) Vol. 28, Iss. 6, pp. 1184-1195
Open Access | Times Cited: 2

FedICU: a federated learning model for reducing the medication prescription errors in intensive care units
Vineetha Pais, Santhosha Rao, Balachandra Muniyal, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access

Consequences of Nursing Errors
Kim Maryniak
Springer eBooks (2023), pp. 65-74
Closed Access

Types of Errors
Kim Maryniak
Springer eBooks (2023), pp. 55-63
Closed Access

Performance Evaluation of Machine Learning Algorithms to Predict the Medication Prescription Errors in Intensive Care Units
Vineetha Pais, Santhosha Rao, Balachandra Muniyal
2022 International Conference for Advancement in Technology (ICONAT) (2023) Vol. 26, pp. 1-5
Closed Access

UNIDADES DE TERAPIA INTENSIVA NEONATAL
Emile de Jesus Santos, Júlia Maria de Holanda Raulino, Alex Maxwelder Borges Sant’Anna Silva, et al.
Brazilian Journal of Implantology and Health Sciences (2023) Vol. 5, Iss. 5, pp. 5577-5592
Open Access

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