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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:

Prioritizing Virtual Screening with Interpretable Interaction Fingerprints
Alexandre Victor Fassio, Laura Shub, Luca Ponzoni, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 18, pp. 4300-4318
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Structure-based virtual screening of vast chemical space as a starting point for drug discovery
Jens Carlsson, Andreas Luttens
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102829-102829
Open Access | Times Cited: 16
The impact of library size and scale of testing on virtual screening
Fangyu Liu, Olivier Mailhot, Isabella Glenn, et al.
Nature Chemical Biology (2025)
Open Access | Times Cited: 3
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 28
Structure-Based Discovery of Inhibitors of the SARS-CoV-2 Nsp14 N7-Methyltransferase
Isha Singh, Fengling Li, Elissa A. Fink, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 12, pp. 7785-7803
Open Access | Times Cited: 23
Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery
Zoe Li, Ruili Huang, Menghang Xia, et al.
Biomolecules (2024) Vol. 14, Iss. 1, pp. 72-72
Open Access | Times Cited: 9
Large library docking identifies positive allosteric modulators of the calcium-sensing receptor
Fangyu Liu, Cheng-Guo Wu, Chia‐Ling Tu, et al.
Science (2024) Vol. 385, Iss. 6715
Closed Access | Times Cited: 7
Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks
Zachary J. Gale-Day, Laura Shub, Kangway V. Chuang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5439-5450
Open Access | Times Cited: 4
Docking 14 million virtual isoquinuclidines against the mu and kappa opioid receptors reveals dual antagonists-inverse agonists with reduced withdrawal effects
Seth F. Vigneron, Shohei Ohno, João Braz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
SynthMol: A Drug Safety Prediction Framework Integrating Graph Attention and Molecular Descriptors into Pre-Trained Geometric Models
Zidong Su, Rong Zhang, Xiaoyu Fan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Docking 14 Million Virtual Isoquinuclidines against the μ and κ Opioid Receptors Reveals Dual Antagonists–Inverse Agonists with Reduced Withdrawal Effects
Seth F. Vigneron, Shohei Ohno, Joao Bráz, et al.
ACS Central Science (2025)
Open Access
Unraveling Common Patterns and Differences among Cruzipains through Molecular Dynamics Simulations and Structural Analyses
Lucianna Helene Santos, Augusto César Broilo Campos, Viviane Corrêa Santos, et al.
ACS Omega (2025)
Open Access
Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNA
Natalia A. Szulc, Zuzanna Mackiewicz, Janusz M. Bujnicki, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 10
G–PLIP: Knowledge graph neural network for structure-free protein–ligand bioactivity prediction
Simon Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2872-2882
Open Access | Times Cited: 3
Combined usage of ligand- and structure-based virtual screening in the artificial intelligence era
Jiyan Dai, Ziyi Zhou, Yanru Zhao, et al.
European Journal of Medicinal Chemistry (2024) Vol. 283, pp. 117162-117162
Closed Access | Times Cited: 3
Molecular surfaces modeling: Advancements in deep learning for molecular interactions and predictions
Renjie Xia, Wei Li, Yi Cheng, et al.
Biochemical and Biophysical Research Communications (2025), pp. 151799-151799
Closed Access
An overview of recent advances and challenges in predicting compound-protein interaction (CPI)
Yanbei Li, Zhehuan Fan, Jingxin Rao, et al.
Medical Review (2023) Vol. 3, Iss. 6, pp. 465-486
Open Access | Times Cited: 8
The Role of Structural Bioinformatics in Understanding Tumor Necrosis Factor α-Interacting Protein Mechanisms in Chronic Inflammatory Diseases: A Review
Luana Luiza Bastos, Diego Mariano, Rafael Pereira Lemos, et al.
Immuno (2024) Vol. 4, Iss. 1, pp. 14-42
Open Access | Times Cited: 3
Systematic analysis, aggregation and visualisation of interaction fingerprints for molecular dynamics simulation data
Sabrina Jaeger-Honz, Karsten Klein, Falk Schreiber
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
The impact of Library Size and Scale of Testing on Virtual Screening
Fangyu Liu, Olivier Mailhot, Isabella Glenn, et al.
(2024)
Open Access | Times Cited: 2
Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures
Laura Shub, Wenjin Liu, Georgios Skiniotis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Bridging Structure- and Ligand-Based Virtual Screening through Fragmented Interaction Fingerprint
Rezi Riadhi Syahdi, Swarit Jasial, Itsuki Maeda, et al.
ACS Omega (2024) Vol. 9, Iss. 37, pp. 38957-38969
Open Access | Times Cited: 1
Deep Learning in Bioinformatics
A.G. Cioletti, Frederico Chaves Carvalho, Lucas Moraes dos Santos, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 137-168
Closed Access | Times Cited: 1
Beyond boundaries: exploring the transformative power of AI in pharmaceuticals
Gurparsad Singh Suri, Gurleen Kaur, Dheeraj Shinde
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2
Stefan Gahbauer, G.J. Correy, M. Schuller, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6
G-PLIP: Knowledge graph neural network for structure-free protein-ligand bioactivity prediction
Simon Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
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