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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:

DeePred-BBB: A Blood Brain Barrier Permeability Prediction Model With Improved Accuracy
Rajnish Kumar, Anju Sharma, Αθανάσιος Αλεξίου, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

ProTox 3.0: a webserver for the prediction of toxicity of chemicals
Priyanka Banerjee, Emanuel Kemmler, Mathias Dunkel, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W513-W520
Open Access | Times Cited: 208
Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood–Brain Barrier Permeability Prediction
Vinay Kumar, Arkaprava Banerjee, Kunal Roy
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4298-4309
Closed Access | Times Cited: 16
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
Vaisali Chandrasekar, Saad Mohammad, Omar M. Aboumarzouk, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137071-137071
Closed Access | Times Cited: 4
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing
Mohammed Yusuf Ansari, Vaisali Chandrasekar, Ajay Vikram Singh, et al.
IEEE Access (2022) Vol. 11, pp. 9890-9906
Open Access | Times Cited: 58
Alvascience: A New Software Suite for the QSAR Workflow Applied to the Blood–Brain Barrier Permeability
Andrea Mauri, Matteo Bertola
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 12882-12882
Open Access | Times Cited: 51
Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images
Anju Sharma, Rajnish Kumar, Prabha Garg
International Journal of Medical Informatics (2023) Vol. 177, pp. 105142-105142
Closed Access | Times Cited: 24
Predicting blood–brain barrier permeability of molecules with a large language model and machine learning
Eddie Huang, Jai‐Sing Yang, Ken Ying-Kai Liao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Nanoparticle Association with Brain Cells Is Augmented by Protein Coronas Formed in Cerebrospinal Fluid
Claire Rennie, Nabila Morshed, Matthew Faria, et al.
Molecular Pharmaceutics (2025)
Closed Access | Times Cited: 1
Computational Chemistry for the Identification of Lead Compounds for Radiotracer Development
Chia‐Ju Hsieh, Sam Giannakoulias, E. James Petersson, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 2, pp. 317-317
Open Access | Times Cited: 19
Machine learning based dynamic consensus model for predicting blood-brain barrier permeability
Bitopan Mazumdar, Pankaj Kumar Deva Sarma, Hridoy Jyoti Mahanta, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106984-106984
Closed Access | Times Cited: 19
Unveiling the Potential of Ent-Kaurane Diterpenoids: Multifaceted Natural Products for Drug Discovery
Shadrack Kibet, Njogu M. Kimani, Syombua S. Mwanza, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 4, pp. 510-510
Open Access | Times Cited: 6
Exploration and Exploitation Approaches Based on Generative Machine Learning to Identify Potent Small Molecule Inhibitors of α-Synuclein Secondary Nucleation
Robert I. Horne, Mhd Hussein Murtada, Donghui Huo, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 14, pp. 4701-4710
Open Access | Times Cited: 14
MLASM: Machine learning based prediction of anticancer small molecules
Priya Dharshini Balaji, Subathra Selvam, Honglae Sohn, et al.
Molecular Diversity (2024)
Closed Access | Times Cited: 5
Systemic Administration of Neurotransmitter‐Derived Lipidoids‐PROTACs‐DNA Nanocomplex Promotes Tau Clearance and Cognitive Recovery for Alzheimer's Disease Therapy
Baofeng Gong, Weicong Zhang, Wei Cong, et al.
Advanced Healthcare Materials (2024)
Closed Access | Times Cited: 5
Neuroprotective Potential of Origanum majorana L. Essential Oil Against Scopolamine-Induced Memory Deficits and Oxidative Stress in a Zebrafish Model
Ion Brinza, Răzvan Ştefan Boiangiu, Iasmina Honceriu, et al.
Biomolecules (2025) Vol. 15, Iss. 1, pp. 138-138
Open Access
Synergistic Exploration of Thiazole Derivatives: Synthesis, Antimicrobial Activity and Computational Insights
Sharad Gavale, S. R. Vishwakarma, Sanjay Soni, et al.
Journal of Molecular Structure (2025), pp. 141772-141772
Closed Access
Prodrug Approach as a Strategy to Enhance Drug Permeability
Mariana Moraes Dionysio de Souza, Ana Luísa Rodriguez Gini, Jhonnathan Alves Moura, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 3, pp. 297-297
Open Access
Identification of CXCR4 inhibitory activity in natural compounds using cheminformatics-guided machine learning algorithms
Rahul Tripathi, Pravir Kumar
Integrative Biology (2025) Vol. 17
Closed Access
Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models
A.H.M. Nurun Nabi, Pedram Pouladvand, Litian Liu, et al.
Molecular Informatics (2025) Vol. 44, Iss. 3
Open Access
Peptide-functionalized nanoparticles for brain-targeted therapeutics
Sophia Tang, Emily L. Han, Michael J. Mitchell
Drug Delivery and Translational Research (2025)
Open Access
GCN-BBB: Deep Learning Blood-Brain Barrier (BBB) Permeability PharmacoAnalytics with Graph Convolutional Neural (GCN) Network
Yankang Jing, Guangyi Zhao, Yuanyuan Xu, et al.
The AAPS Journal (2025) Vol. 27, Iss. 3
Closed Access
A Computational Physics-based Approach to Predict Unbound Brain-to-Plasma Partition Coefficient, Kp,uu
Morgan Lawrenz, Mats Svensson, Mitsunori Kato, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 12, pp. 3786-3798
Open Access | Times Cited: 11
Expanding Predictive Capacities in Toxicology: Insights from Hackathon-Enhanced Data and Model Aggregation
Dmitrii O. Shkil, Alina A. Muhamedzhanova, Philipp I. Petrov, et al.
Molecules (2024) Vol. 29, Iss. 8, pp. 1826-1826
Open Access | Times Cited: 2
Improving Glioma Drug Delivery: A Multifaceted Approach for Glioma Drug Development
Marybeth Yonk, Megan Amber Lim, Charee M. Thompson, et al.
Pharmacological Research (2024) Vol. 208, pp. 107390-107390
Open Access | Times Cited: 2
Neuronanomedicine for Alzheimer’s and Parkinson’s disease: Current progress and a guide to improve clinical translation
India Boyton, Stella M. Valenzuela, Lyndsey E. Collins‐Praino, et al.
Brain Behavior and Immunity (2023) Vol. 115, pp. 631-651
Closed Access | Times Cited: 6
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