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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:

Prediction of Human Pharmacokinetics From Chemical Structure: Combining Mechanistic Modeling with Machine Learning
Andrea Grüber, Florian Führer, Stephan Menz, et al.
Journal of Pharmaceutical Sciences (2023) Vol. 113, Iss. 1, pp. 55-63
Closed Access | Times Cited: 16

Showing 16 citing articles:

The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance
Kampanart Huanbutta, Kanokporn Burapapadh, Pakorn Kraisit, et al.
European Journal of Pharmaceutical Sciences (2024) Vol. 203, pp. 106938-106938
Open Access | Times Cited: 11
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
DeepCt: Predicting pharmacokinetic concentration-time curves and compartmental models from chemical structure using deep learning
Maximilian Beckers, Dimitar Yonchev, Sandrine Desrayaud, et al.
(2024)
Open Access | Times Cited: 4
Multi‐Task ADME/PK prediction at industrial scale: leveraging large and diverse experimentaldatasets
Moritz Walter, Jens Markus Borghardt, Lina Humbeck, et al.
Molecular Informatics (2024) Vol. 43, Iss. 10
Open Access | Times Cited: 4
Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics
Krutika Patidar, Nikhil Pillai, Saroj Dhakal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches
Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 3
Open Access
Application of Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans
Xuelian Jia, Donato Teutonico, Saroj Dhakal, et al.
Journal of Medicinal Chemistry (2025)
Open Access
Formulation Strategy of BCS-II Drugs by Coupling Mechanistic In-Vitro and Nonclinical In-Vivo Data with PBPK: Fundamentals of Absorption-Dissolution to Parameterization of Modelling and Simulation
V A Shriya, Usha Y. Nayak, Muddukrishna Badamane Sathyanarayana, et al.
AAPS PharmSciTech (2025) Vol. 26, Iss. 5
Open Access
DeepCt: Predicting Pharmacokinetic Concentration–Time Curves and Compartmental Models from Chemical Structure Using Deep Learning
Maximilian Beckers, Dimitar Yonchev, Sandrine Desrayaud, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 12, pp. 6220-6233
Open Access | Times Cited: 2
Recent progress in artificial intelligence and machine learning for novel diabetes mellitus medications development
Qi Guo, Bo Fu, Yuan Tian, et al.
Current Medical Research and Opinion (2024) Vol. 40, Iss. 9, pp. 1483-1493
Closed Access | Times Cited: 2
In silicoPK predictions in Drug Discovery: Benchmarking of Strategies to Integrate Machine Learning with Empiric and Mechanistic PK modelling
Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Development of a Minimal Physiologically-Based Pharmacokinetic Modeling / Machine Learning Framework for Early Target Pharmacology Assessment
Panteleimon D. Mavroudis, Krutika Patidar, Nikhil Pillai, et al.
Research Square (Research Square) (2024)
Open Access
Data-Driven Discovery of Feedback Mechanisms in Acute Myeloid Leukaemia: Alternatives to classical models using Deep Nonlinear Mixed Effect modeling and Symbolic Regression
Carl Julius Martensen, Niklas Korsbo, Vijay Ivaturi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
AI in Predictive Toxicology
Bancha Yingngam
Advances in medical technologies and clinical practice book series (2024), pp. 79-134
Closed Access
Beyond CL and VSS: a comprehensive approach to human pharmacokinetic predictions
Anneke Himstedt, Hermann Rapp, Peter Stopfer, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 12, pp. 104238-104238
Closed Access
A Deep Neural Network – Mechanistic HybridModel to Predict Pharmacokinetics in Rat
Florian Führer, Andrea Grüber, Holger Diedam, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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