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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:

Informing the Selection of Screening Hit Series with in Silico Absorption, Distribution, Metabolism, Excretion, and Toxicity Profiles
John M. Sanders, Douglas C. Beshore, Joseph Culberson, et al.
Journal of Medicinal Chemistry (2017) Vol. 60, Iss. 16, pp. 6771-6780
Closed Access | Times Cited: 21

Showing 21 citing articles:

Improvement in ADMET Prediction with Multitask Deep Featurization
Evan N. Feinberg, Elizabeth Joshi, Vijay S. Pande, et al.
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 16, pp. 8835-8848
Closed Access | Times Cited: 155
A Selective Synthesis of 2,2-Difluorobicyclo[1.1.1]pentane Analogues: “BCP-F2”
Xiaoshen Ma, David L. Sloman, Yongxin Han, et al.
Organic Letters (2019) Vol. 21, Iss. 18, pp. 7199-7203
Closed Access | Times Cited: 107
Deep Learning Approaches in Predicting ADMET Properties
Elena L. Cáceres, Matthew Tudor, Alan C. Cheng
Future Medicinal Chemistry (2020) Vol. 12, Iss. 22, pp. 1995-1999
Open Access | Times Cited: 64
Computational chemical biology and drug design: Facilitating protein structure, function, and modulation studies
Mingyue Zheng, Jihui Zhao, Chen Cui, et al.
Medicinal Research Reviews (2018) Vol. 38, Iss. 3, pp. 914-950
Closed Access | Times Cited: 51
Computationally approached inhibition potential of Tinospora cordifolia towards COVID-19 targets
Sushovan Jena, Punnagai Munusami, Balamurali MM, et al.
VirusDisease (2021) Vol. 32, Iss. 1, pp. 65-77
Open Access | Times Cited: 28
QSAR-Driven Design and Discovery of Novel Compounds With Antiplasmodial and Transmission Blocking Activities
Marília N. N. Lima, Cleber C. Melo‐Filho, Gustavo Capatti Cassiano, et al.
Frontiers in Pharmacology (2018) Vol. 9
Open Access | Times Cited: 26
Expanding the Chemical Space of Withaferin A by Incorporating Silicon To Improve Its Clinical Potential on Human Ovarian Carcinoma Cells
Nayra R. Perestelo, Gabriel G. Llanos, Carolina P. Reyes, et al.
Journal of Medicinal Chemistry (2019) Vol. 62, Iss. 9, pp. 4571-4585
Open Access | Times Cited: 24
Adding Stochastic Negative Examples into Machine Learning Improves Molecular Bioactivity Prediction
Elena L. Cáceres, Nicholas C. Mew, Michael J. Keiser
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5957-5970
Open Access | Times Cited: 21
Multitask CapsNet: An Imbalanced Data Deep Learning Method for Predicting Toxicants
Yiwei Wang, Binyou Wang, Jie Jiang, et al.
ACS Omega (2021) Vol. 6, Iss. 40, pp. 26545-26555
Open Access | Times Cited: 10
Photophysical evaluation on the electronic properties of synthesized biologically significant pyrido fused imidazo[4,5-c]quinolines
Sushovan Jena, Badruzzaman Choudhury, Md Gulzar Ahmad, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 287, pp. 122081-122081
Closed Access | Times Cited: 5
Whether the Validation of the Predictive Potential of Toxicity Models is a Solved Task?
Alla P. Toropova, Andrey A. Toropov
Current Topics in Medicinal Chemistry (2019) Vol. 19, Iss. 29, pp. 2643-2657
Closed Access | Times Cited: 6
Predicting drug properties with parameter-free machine learning: pareto-optimal embedded modeling (POEM)
Andrew E. Brereton, Stephen S. MacKinnon, Zhaleh Safikhani, et al.
Machine Learning Science and Technology (2020) Vol. 1, Iss. 2, pp. 025008-025008
Open Access | Times Cited: 6
Computationally approached inhibition potential of Tinospora Cordifolia towards COVID-19 targets
Sushovan Jena, Punnagai Munusami, Balamurali MM, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 4
A novel in vitro high-content imaging assay for the prediction of drug-induced lung toxicity
Paul Fitzpatrick, Julia Johansson, Gareth Maglennon, et al.
Archives of Toxicology (2024) Vol. 98, Iss. 9, pp. 2985-2998
Open Access
Discovery of Broad-Spectrum Herpes Antiviral Oxazolidinone Amide Derivatives and Their Structure–Activity Relationships
Michael A. Plotkin, Marc Labroli, Jeffrey W. Schubert, et al.
ACS Medicinal Chemistry Letters (2024) Vol. 15, Iss. 8, pp. 1232-1241
Closed Access
In Silico Studies of Phytoconstituents to Identify Potential Inhibitors for ERα Protein of Breast Cancer
V. Alagarsamy, Mohaideen Thasthagir Sulthana, Bandi Narendhar, et al.
Medicinal Chemistry (2024) Vol. 21, Iss. 2, pp. 144-159
Closed Access
In Vitro and In Vivo Metabolism Studies
Biplab Das, Chandra Prakash
Springer eBooks (2024), pp. 1695-1715
Closed Access
Synthesis, Pharmacological Evaluation, and Docking Studies of Novel Pyridazinone‐Based Cannabinoid Receptor Type 2 Ligands
Giulio Ragusa, Serena Bencivenni, Paula Morales, et al.
ChemMedChem (2018) Vol. 13, Iss. 11, pp. 1102-1114
Closed Access | Times Cited: 2
A scientist engineer’s contribution to therapeutic discovery and development
Jennifer L. Wilson
Experimental Biology and Medicine (2018) Vol. 243, Iss. 14, pp. 1125-1132
Open Access | Times Cited: 1
In Vitro and In Vivo Metabolism Studies
Biplab Das, Chandra Prakash
Springer eBooks (2023), pp. 1-21
Closed Access
From random to predictive: a context-specific interaction framework improves selection of drug protein-protein interactions for unknown drug pathways
Jennifer L. Wilson, Alessio Gravina, Kevin Grimes
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access
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