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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:

Artificial Intelligence and Machine Learning Approaches to Facilitate Therapeutic Drug Management and Model-Informed Precision Dosing
Ethan A. Poweleit, Alexander A. Vinks, Tomoyuki Mizuno
Therapeutic Drug Monitoring (2023) Vol. 45, Iss. 2, pp. 143-150
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare
Lara Marques, Bárbara Costa, Mariana Pereira, et al.
Pharmaceutics (2024) Vol. 16, Iss. 3, pp. 332-332
Open Access | Times Cited: 80
Microsystem Advances through Integration with Artificial Intelligence
Hsieh‐Fu Tsai, Soumyajit Podder, Pin‐Yuan Chen
Micromachines (2023) Vol. 14, Iss. 4, pp. 826-826
Open Access | Times Cited: 23
Model-informed precision dosing: State of the art and future perspectives
Iris K. Minichmayr, Erwin Dreesen, Marco Centanni, et al.
Advanced Drug Delivery Reviews (2024) Vol. 215, pp. 115421-115421
Open Access | Times Cited: 13
Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation
Karthik Raman, Rukmini Kumar, Cynthia J. Musante, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Artificial intelligence and machine learning for clinical pharmacology
David Ryan, Rory Maclean, Alfred Balston, et al.
British Journal of Clinical Pharmacology (2023) Vol. 90, Iss. 3, pp. 629-639
Closed Access | Times Cited: 18
Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review
Safaa Alsanosi, Sandosh Padmanabhan
Healthcare (2024) Vol. 12, Iss. 7, pp. 788-788
Open Access | Times Cited: 7
Recent Advances Addressing the Challenges of Precision Dosing
Iris K. Minichmayr, Tomoyuki Mizuno, Srijib Goswami, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 116, Iss. 3, pp. 527-530
Open Access | Times Cited: 5
AI in autoimmune diseases: Transforming diagnosis and treatment
Dipali Mane, A.M. Deshmukh, Rohit Hanumant Ambare, et al.
Journal of Pharmaceutical and Biological Sciences (2025) Vol. 12, Iss. 2, pp. 109-118
Closed Access
Navigating Recent Changes in Dosing Information: Dynamics of FDA‐Approved Monoclonal Antibodies in Post‐Marketing Realities
Nai Lee, Su‐jin Rhee, Sophia Koo, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 1
Open Access
Development and external validation of a machine learning model to predict the initial dose of vancomycin for targeting an area under the concentration–time curve of 400–600 mg∙h/L
Yun Woo Lee, Ji-Hun Kim, Jin Ju Park, et al.
International Journal of Medical Informatics (2025) Vol. 196, pp. 105817-105817
Open Access
Machine Learning for Prediction of Drug Concentrations: Application and Challenges
Shuqi Huang, Qihan Xu, Guoping Yang, et al.
Clinical Pharmacology & Therapeutics (2025)
Closed Access
A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications
Matthew Wiens, Alissa Verone‐Boyle, Nick Henscheid, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 3
Open Access
Artificial Intelligence in Drug Development
Surovi Saikia, Aparna Anandan, Unais Annenkottil, et al.
(2025), pp. 161-177
Closed Access
Precision Dosing, Therapeutic Drug Monitoring, and Clinical Pharmacokinetics in Pediatric Kidney Transplant Patients: Principles and Practice With Emphasis on Low‐ and Middle‐Income Countries
Paulo Cáceres Guidó, Guillermo Federico Taboada, Marta Lidia Monteverde
Pediatric Transplantation (2025) Vol. 29, Iss. 3
Closed Access
AI in the development of vaccines for emerging and re-emerging diseases
Rita Elizabeth Velastegui-Hernández, Verónica Gabriela Salinas Velasteguí, Diana Catalina Velasteguí Hernández, et al.
Salud Ciencia y Tecnología (2025) Vol. 4
Closed Access
Advancing Precision Pharmacotherapy in Pediatric Kidney Transplantation—From Vision to Implementation
Guido Filler, Randall Lou‐Meda
Pediatric Transplantation (2025) Vol. 29, Iss. 3
Closed Access
Machine Learning‐Based Prediction of Escitalopram and Sertraline Side Effects With Pharmacokinetic Data in Children and Adolescents
Ethan A. Poweleit, Samuel Vaughn, Zeruesenay Desta, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 115, Iss. 4, pp. 860-870
Open Access | Times Cited: 3
Reinforcement Learning and PK‐PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma
Alessandro De Carlo, Elena M. Tosca, Martina Fantozzi, et al.
Clinical Pharmacology & Therapeutics (2024) Vol. 115, Iss. 4, pp. 825-838
Closed Access | Times Cited: 3
Machine Learning Methods for Precision Dosing in Anticancer Drug Therapy: A Scoping Review
Olga Teplytska, Moritz Ernst, Luca Marie Koltermann, et al.
Clinical Pharmacokinetics (2024) Vol. 63, Iss. 9, pp. 1221-1237
Open Access | Times Cited: 3
Artificial Intelligence in Perioperative Care: Opportunities and Challenges
Lichy Han, Danton Char, Nima Aghaeepour, et al.
Anesthesiology (2024) Vol. 141, Iss. 2, pp. 379-387
Closed Access | Times Cited: 2
Antibiotic dose optimisation in the critically ill: targets, evidence and future strategies
Christopher J. Dyer, Jan J. De Waele, Jason A. Roberts
Current Opinion in Critical Care (2024) Vol. 30, Iss. 5, pp. 439-447
Closed Access | Times Cited: 2
Beta-lactam Therapeutic Drug Monitoring in Critically ill Patients: Learnings for Future Research
Wim J. R. Rietdijk, Sarah Dräger, Henrik Endeman, et al.
Clinical Infectious Diseases (2023) Vol. 77, Iss. 4, pp. 663-664
Closed Access | Times Cited: 6
Discovery of NLRP3 inhibitors using machine learning: Identification of a hit compound to treat NLRP3 activation-driven diseases
Cheng Shi, Xiangyu Zhang, Xiaowei Chi, et al.
European Journal of Medicinal Chemistry (2023) Vol. 260, pp. 115784-115784
Closed Access | Times Cited: 5
Artificial intelligence in intensive care medicine
André Baumgart, Grietje Beck, David Ghezel-Ahmadi
Medizinische Klinik - Intensivmedizin und Notfallmedizin (2024) Vol. 119, Iss. 3, pp. 189-198
Closed Access | Times Cited: 1
Current perspectives on the use of artificial intelligence in critical patient safety
Jesús Abelardo Barea‐Mendoza, Marcos Valiente Fernández, Alex Pardo Fernandez, et al.
Medicina Intensiva (English Edition) (2024)
Closed Access | Times Cited: 1
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