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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:

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

Showing 10 citing articles:

Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning
Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 11
Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery
Ella Czarina Morishita, Shingo Nakamura
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 4, pp. 415-431
Open Access | Times Cited: 11
RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning
Juan G. Carvajal-Patiño, Vincent Mallet, David Becerra, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
How Good Are Current Docking Programs at Nucleic Acid–Ligand Docking? A Comprehensive Evaluation
Dejun Jiang, Huifeng Zhao, Hongyan Du, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 16, pp. 5633-5647
Closed Access | Times Cited: 19
Advances in the field of RNA 3D structure prediction and modeling, with purely theoretical approaches, and with the use of experimental data
Sunandan Mukherjee, S. Naeim Moafinejad, Nagendar Goud Badepally, et al.
Structure (2024)
Closed Access | Times Cited: 5
SPLIF-Enhanced Attention-Driven 3D CNNs for Precise and Reliable Protein–Ligand Interaction Modeling for METTL3
Muhammad Junaid, Muhammad Zeeshan, Abbas Khan, et al.
ACS Omega (2025) Vol. 10, Iss. 16, pp. 16748-16761
Open Access
In Silico Modeling of Drug–Receptor Interactions for Rational Drug Design in Neuropharmacology
Princy Shrivastav, Bhupendra G. Prajapati, Chandni Chandarana, et al.
(2025), pp. 87-126
Closed Access
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
Semi-supervised learning and large-scale docking data accelerate RNA virtual screening
Juan G. Carvajal-Patiño, Vincent Mallet, David Becerra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
RNA-ligand interaction scoring via data perturbation and augmentation modeling
Hongli Ma, Letian Gao, Yunfan Jin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
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