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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:

Accelerating AutoDock4 with GPUs and Gradient-Based Local Search
Diogo Santos‐Martins, Leonardo Solis-Vasquez, Andreas F. Tillack, et al.
Journal of Chemical Theory and Computation (2021) Vol. 17, Iss. 2, pp. 1060-1073
Open Access | Times Cited: 239

Showing 1-25 of 239 citing articles:

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings
Jérôme Eberhardt, Diogo Santos‐Martins, Andreas F. Tillack, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 8, pp. 3891-3898
Open Access | Times Cited: 3070
Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking
Francesco Gentile, Jean Charle Yaacoub, James Gleave, et al.
Nature Protocols (2022) Vol. 17, Iss. 3, pp. 672-697
Open Access | Times Cited: 244
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19
Atanu Acharya, Rupesh Agarwal, Matthew Baker, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5832-5852
Open Access | Times Cited: 165
fastDRH: a webserver to predict and analyze protein–ligand complexes based on molecular docking and MM/PB(GB)SA computation
Zhe Wang, Hong Pan, Huiyong Sun, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 82
Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units
Ji Ding, Shidi Tang, Zheming Mei, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 7, pp. 1982-1998
Closed Access | Times Cited: 58
Efficient and accurate large library ligand docking with KarmaDock
Xujun Zhang, Odin Zhang, Chao Shen, et al.
Nature Computational Science (2023) Vol. 3, Iss. 9, pp. 789-804
Closed Access | Times Cited: 55
Integrating structure-based approaches in generative molecular design
Morgan Thomas, Andreas Bender, Chris de Graaf
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102559-102559
Open Access | Times Cited: 39
Advancements and novel approaches in modified AutoDock Vina algorithms for enhanced molecular docking
Arkadeep Sarkar, Simona Concilio, Lucia Sessa, et al.
Results in Chemistry (2024) Vol. 7, pp. 101319-101319
Open Access | Times Cited: 18
Enhanced mapping of small-molecule binding sites in cells
Jacob M. Wozniak, Weichao Li, Paolo Governa, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 7, pp. 823-834
Open Access | Times Cited: 16
Advancing Ligand Docking through Deep Learning: Challenges and Prospects in Virtual Screening
Xujun Zhang, Chao Shen, Haotian Zhang, et al.
Accounts of Chemical Research (2024) Vol. 57, Iss. 10, pp. 1500-1509
Closed Access | Times Cited: 16
Accelerating AutoDock Vina with GPUs
Shidi Tang, Ruiqi Chen, Mengru Lin, et al.
Molecules (2022) Vol. 27, Iss. 9, pp. 3041-3041
Open Access | Times Cited: 65
Evaluation of AlphaFold2 structures as docking targets
Matthew Holcomb, Ya‐Ting Chang, David S. Goodsell, et al.
Protein Science (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 60
Molecular docking-based computational platform for high-throughput virtual screening
Baohua Zhang, Hui Li, Kunqian Yu, et al.
CCF Transactions on High Performance Computing (2022) Vol. 4, Iss. 1, pp. 63-74
Open Access | Times Cited: 58
Automated discovery of noncovalent inhibitors of SARS-CoV-2 main protease by consensus Deep Docking of 40 billion small molecules
Francesco Gentile, Michael Fernández, Fuqiang Ban, et al.
Chemical Science (2021) Vol. 12, Iss. 48, pp. 15960-15974
Open Access | Times Cited: 55
A Review on Parallel Virtual Screening Softwares for High-Performance Computers
N. Arul Murugan, Artur Podobas, Davide Gadioli, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 47
Comprehensive Survey of Consensus Docking for High-Throughput Virtual Screening
Clara Blanes‐Mira, Pilar Fernández-Aguado, Jorge de Andrés-López, et al.
Molecules (2022) Vol. 28, Iss. 1, pp. 175-175
Open Access | Times Cited: 41
Uni-Dock: GPU-Accelerated Docking Enables Ultralarge Virtual Screening
Yuejiang Yu, Chun Cai, Jiayue Wang, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 11, pp. 3336-3345
Closed Access | Times Cited: 37
Recent Developments in Ultralarge and Structure-Based Virtual Screening Approaches
Christoph Gorgulla
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 229-258
Open Access | Times Cited: 23
What Makes a Good Protein–Protein Interaction Stabilizer: Analysis and Application of the Dual-Binding Mechanism
Shuyu Chen, Martin Zacharias
ACS Central Science (2023) Vol. 9, Iss. 5, pp. 969-979
Open Access | Times Cited: 22
In silico screening of LRRK2 WDR domain inhibitors using deep docking and free energy simulations
Evgeny Gutkin, Filipp Gusev, Francesco Gentile, et al.
Chemical Science (2024) Vol. 15, Iss. 23, pp. 8800-8812
Open Access | Times Cited: 8
Docking Score ML: Target-Specific Machine Learning Models Improving Docking-Based Virtual Screening in 155 Targets
Haihan Liu, Baichun Hu, Pei‐Ying Chen, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5413-5426
Closed Access | Times Cited: 8
Emerging structure-based computational methods to screen the exploding accessible chemical space
Corentin Bedart, Conrad V. Simoben, Matthieu Schapira
Current Opinion in Structural Biology (2024) Vol. 86, pp. 102812-102812
Open Access | Times Cited: 7
Strengths and Weaknesses of Docking Simulations in the SARS-CoV-2 Era: the Main Protease (Mpro) Case Study
Manuel A. Llanos, Melisa E. Gantner, Santiago Rodrı́guez, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 8, pp. 3758-3770
Open Access | Times Cited: 42
Comprehensive virtual screening of 4.8 k flavonoids reveals novel insights into allosteric inhibition of SARS-CoV-2 MPRO
Gabriel Jiménez-Avalos, A. Paula Vargas-Ruiz, Nicolás E. Delgado-Pease, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 40
Computationally driven discovery of SARS-CoV-2 Mproinhibitors: from design to experimental validation
Léa El Khoury, Zhifeng Jing, Alberto Cuzzolin, et al.
Chemical Science (2022) Vol. 13, Iss. 13, pp. 3674-3687
Open Access | Times Cited: 33
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