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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:

DEEPCYPs: A deep learning platform for enhanced cytochrome P450 activity prediction
Daiqiao Ai, Hanxuan Cai, Jiajia Wei, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 25

Showing 25 citing articles:

Decoding the Role of CYP450 Enzymes in Metabolism and Disease: A Comprehensive Review
Basma Hossam Abdelmonem, Noha M. Abdelaal, Eman K. E. Anwer, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1467-1467
Open Access | Times Cited: 18
In vitro biological studies and computational prediction-based analyses of pyrazolo[1,5-a]pyrimidine derivatives
Abdulrahman A. Almehizia, Wael M. Aboulthana, Ahmed M. Naglah, et al.
RSC Advances (2024) Vol. 14, Iss. 12, pp. 8397-8408
Open Access | Times Cited: 14
Artificial intelligence in small molecule drug discovery from 2018 to 2023: Does it really work?
Qi Lv, Feilong Zhou, Xinhua Liu, et al.
Bioorganic Chemistry (2023) Vol. 141, pp. 106894-106894
Closed Access | Times Cited: 21
Harnessing machine learning to predict cytochrome P450 inhibition through molecular properties
Hamza Zahid, Hilal Tayara, Kil To Chong
Archives of Toxicology (2024) Vol. 98, Iss. 8, pp. 2647-2658
Closed Access | Times Cited: 7
Employing Automated Machine Learning (AutoML) Methods to Facilitate the In Silico ADMET Properties Prediction
Herim Han, Bilal Shaker, Jin Hee Lee, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Investigation of in silico studies for cytochrome P450 isoforms specificity
Yao Wei, Luca Palazzolo, Omar Ben Mariem, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3090-3103
Open Access | Times Cited: 4
MalariaFlow: A Comprehensive Deep Learning Platform for Multistage Phenotypic Antimalarial Drug Discovery
Mujie Lin, Junxi Cai, Yuancheng Wei, et al.
European Journal of Medicinal Chemistry (2024) Vol. 277, pp. 116776-116776
Closed Access | Times Cited: 3
Prediction of Cytochrome P450 Inhibition Using a Deep Learning Approach and Substructure Pattern Recognition
Zhaoyang Chen, Le Zhang, Pei Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2528-2538
Closed Access | Times Cited: 8
Computational and artificial intelligence-based approaches for drug metabolism and transport prediction
Bálint Dudás, Maria A. Miteva
Trends in Pharmacological Sciences (2023) Vol. 45, Iss. 1, pp. 39-55
Closed Access | Times Cited: 7
3,4-Difluoro-2-(((4-phenoxyphenyl)imino)methyl)phenol with in silico predictions: Synthesis, spectral analyses, ADME studies, targets and biological activity, toxicity and adverse effects, site of metabolism, taste activity
Songül Şahin
Journal of Molecular Structure (2024) Vol. 1317, pp. 139136-139136
Closed Access | Times Cited: 2
Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning Models
Jiaojiao Fang, Yan Tang, Changda Gong, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 9, pp. 1535-1548
Closed Access | Times Cited: 1
Evaluation of machine learning models for cytochrome P450 3A4, 2D6, and 2C9 inhibition
Changda Gong, Yanjun Feng, Jieyu Zhu, et al.
Journal of Applied Toxicology (2024) Vol. 44, Iss. 7, pp. 1050-1066
Closed Access | Times Cited: 1
GraphEGFR: Multi‐task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity
Bundit Boonyarit, Nattawin Yamprasert, Pawit Kaewnuratchadasorn, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 23, pp. 2001-2023
Closed Access | Times Cited: 1
Pharmacokinetics–Pharmacodynamics Modeling for Evaluating Drug–Drug Interactions in Polypharmacy: Development and Challenges
Di Zhao, Ping Huang, Li Yu, et al.
Clinical Pharmacokinetics (2024) Vol. 63, Iss. 7, pp. 919-944
Closed Access | Times Cited: 1
Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically Based Pharmacokinetic, and First-Principle Models
Yehuda Arav
(2024)
Open Access | Times Cited: 1
Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically-Based Pharmacokinetics, and First-Principles Models
Yehuda Arav
Pharmaceutics (2024) Vol. 16, Iss. 8, pp. 978-978
Open Access | Times Cited: 1
The Nature of the Chemical Bonds of High-Valent Transition–Metal Oxo (M=O) and Peroxo (MOO) Compounds: A Historical Perspective of the Metal Oxyl–Radical Character by the Classical to Quantum Computations
K. Yamaguchi, Hiroshi Isobe, Mitsuo Shoji, et al.
Molecules (2023) Vol. 28, Iss. 20, pp. 7119-7119
Open Access | Times Cited: 2
Pyrazoline B-Paclitaxel or Doxorubicin Combination Drugs Show Synergistic Activity Against Cancer Cells: In silico Study
Hesti Lina Wiraswati, Muhammad Hasan Bashari, Nayla Majeda Alfarafisa, et al.
Advances and Applications in Bioinformatics and Chemistry (2024) Vol. Volume 17, pp. 33-46
Open Access
Malariaflow: A Comprehensive Deep Learning Platform for Multistage Phenotypic Antimalarial Drug Discovery
Mujie Lin, Junxi Cai, Yuancheng Wei, et al.
(2024)
Closed Access
Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically Based Pharmacokinetic, and First-Principal Models
Yehuda Arav
(2024)
Open Access
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy
Duancheng Zhao, Yanhong Zhang, Yihao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
MuMCyp_Net: A multimodal neural network for the prediction of Cyp450 inhibition
Soualihou Ngnamsie Njimbouom, Jeong‐Dong Kim
Expert Systems with Applications (2024) Vol. 255, pp. 124703-124703
Open Access
Machine Learning-Based In Silico Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450s
Kaori Ambe, Masayuki Nakamori, Riku Tohno, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 11, pp. 1843-1850
Open Access
GTransCYPs: an improved graph transformer neural network with attention pooling for reliably predicting CYP450 inhibitors
Candra Zonyfar, Soualihou Ngnamsie Njimbouom, Sophia Mosalla, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Mutational analyses, pharmacophore-based inhibitor design and in silico validation for Zika virus NS3-helicase
Laxman Durgam, Jishu Pagag, Y. Indra Neela, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 19, pp. 9873-9891
Closed Access | Times Cited: 1
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