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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:

Interpretation of Protein-Mediated Uptake of Statins by Hepatocytes Is Confounded by the Residual Statin-Protein Complex
Mengyue Yin, Kazuya Ishida, Xiaomin Liang, et al.
Drug Metabolism and Disposition (2023) Vol. 51, Iss. 10, pp. 1381-1390
Closed Access | Times Cited: 10

Showing 10 citing articles:

Using the Dynamic Well-Stirred Model to Extrapolate Hepatic Clearance of Organic Anion-Transporting Polypeptide Transporter Substrates without Assuming Albumin-Mediated Hepatic Drug Uptake
Zhengyin Yan, Li Ma, Nicky Hwang, et al.
Drug Metabolism and Disposition (2024) Vol. 52, Iss. 6, pp. 548-554
Open Access | Times Cited: 4
Albumin-Mediated Drug Uptake by Organic Anion Transporter 1/3 Is Real: Implications for the Prediction of Active Renal Secretion Clearance
Shawn Pei Feng Tan, Annika Tillmann, Susan Murby, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 9, pp. 4603-4617
Open Access | Times Cited: 3
Successful Prediction of Human Hepatic Concentrations of Transported Drugs Using the Proteomics‐Informed Relative Expression Factor Approach
Mengyue Yin, Ankit Balhara, Solène Marie, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 3, pp. 595-605
Closed Access | Times Cited: 7
First-in-Human Predictions of Hepatic Clearance for Drugs With the Well-Stirred Model: Comparative Assessment Between Models of Fraction Unbound Based Either on the Free Drug Hypothesis, Albumin-Facilitated Hepatic Uptake or Dynamic Binding Kinetics
Patrick Poulin
Journal of Pharmaceutical Sciences (2024) Vol. 113, Iss. 8, pp. 2641-2650
Closed Access | Times Cited: 1
How predictive are isolated perfused liver data of in vivo hepatic clearance? A meta-analysis of isolated perfused rat liver data
J Schulz, J. Cory Kalvass
Xenobiotica (2024) Vol. 54, Iss. 9, pp. 658-669
Closed Access | Times Cited: 1
Mechanistic Static Model based Prediction of Transporter Substrate Drug-Drug Interactions Utilizing Atorvastatin and Rifampicin
Pallabi Mitra, Rumanah Kasliwala, Laeticia Iboki, et al.
Pharmaceutical Research (2023) Vol. 40, Iss. 12, pp. 3025-3042
Closed Access | Times Cited: 2
Novel method of measurement of in vitro drug uptake in OATP1B3 overexpressing cells in the presence of dextran
Anna Kowal-Chwast, Ewelina Gabor-Worwa, Nilesh Gaud, et al.
Pharmacological Reports (2024) Vol. 76, Iss. 2, pp. 400-415
Closed Access
Drug Transporters in Drug Disposition – Highlights from the Year 2023
Paresh P. Chothe, Upendra A. Argikar, Pallabi Mitra, et al.
Drug Metabolism Reviews (2024), pp. 1-31
Closed Access
An Overview of Interpretability of Two Models of Unbound Fraction that are Used in Combination with the Well-Stirred Model for Predicting Hepatic Clearance of Drugs
Patrick Poulin
Journal of Pharmaceutical Sciences (2024)
Closed Access
The Current State of Biotransformation Science – Industry Survey of In Vitro and In Vivo Practices, Clinical Translation, and Future Trends
John P. Savaryn, Kevin J. Coe, Matthew A. Cerny, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 11, pp. 2079-2093
Open Access
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