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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:

Towards holistic Compound Quality Scores: Extending ligand efficiency indices with compound pharmacokinetic characteristics
Christofer S. Tautermann, Jens Markus Borghardt, Roland Pfau, et al.
Drug Discovery Today (2023) Vol. 28, Iss. 11, pp. 103758-103758
Open Access | Times Cited: 11

Showing 11 citing articles:

Reinvent 4: Modern AI–driven generative molecule design
Hannes H. Loeffler, Jiazhen He, Alessandro Tibo, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 51
Development of Orally Active Anti-Inflammatory Agents: In Vivo and In Silico Analysis of Naphthalene-Chalcone Derivatives Based on 2-Acetyl-6-Methoxy Naphthalene
D Vasudha, A Jagadeesh, Sathish Kumar Konidala, et al.
Chemical Physics Impact (2024) Vol. 8, pp. 100472-100472
Open Access | Times Cited: 7
REINVENT4: Modern AI–Driven Generative Molecule Design
Hannes H. Loeffler, Jiazhen He, Alessandro Tibo, et al.
(2023)
Open Access | Times Cited: 16
Occurrence of “Natural Selection” in Successful Small Molecule Drug Discovery
Anna Lina Heinzke, Axel Pahl, Barbara Zdrazil, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 13, pp. 11226-11241
Open Access | Times Cited: 5
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
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
Toward Dose Prediction at Point of Design
Dries Van Rompaey, Siladitya Ray Chaudhuri, Mazen Ahmad, et al.
Journal of Medicinal Chemistry (2024)
Closed Access | Times Cited: 2
Occurrence of ‘Natural Selection’ in Successful Small Molecule Drug Discovery
Lina Heinzke, Axel Pahl, Barbara Zdrazil, et al.
(2024)
Open Access | Times Cited: 1
Application of mechanistic multiparameter optimization and large scalein vitrotoin vivopharmacokinetics correlations to small molecule therapeutic projects
Fabio Broccatelli, Vijayabhaskar Veeravalli, Daniel K. Cashion, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Application of Mechanistic Multiparameter Optimization and Large-Scale In Vitro to In Vivo Pharmacokinetics Correlations to Small-Molecule Therapeutic Projects
Fabio Broccatelli, Vijayabhaskar Veeravalli, Daniel K. Cashion, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 9, pp. 4312-4323
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
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