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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:

Discovery of a structural class of antibiotics with explainable deep learning
Felix Wong, Erica J. Zheng, Jacqueline A. Valeri, et al.
Nature (2023) Vol. 626, Iss. 7997, pp. 177-185
Open Access | Times Cited: 183

Showing 26-50 of 183 citing articles:

AI in computational chemistry through the lens of a decade-long journey
Pavlo O. Dral
Chemical Communications (2024) Vol. 60, Iss. 24, pp. 3240-3258
Open Access | Times Cited: 7
Lighting the way: how the Vibrio fischeri model microbe reveals the complexity of Earth’s “simplest” life forms
Alecia N. Septer, Karen L. Visick
Journal of Bacteriology (2024) Vol. 206, Iss. 5
Open Access | Times Cited: 7
Accelerated end-to-end chemical synthesis development with large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, et al.
(2024)
Open Access | Times Cited: 7
Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loop
Christian Hausleitner, Heimo Mueller, Andreas Holzinger, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
The Future of ChatGPT in Medicinal Chemistry: Harnessing AI for Accelerated Drug Discovery
Tathagata Pradhan, Ojasvi Gupta, Gita Chawla
ChemistrySelect (2024) Vol. 9, Iss. 13
Closed Access | Times Cited: 6
A deep learning-driven discovery of berberine derivatives as novel antibacterial against multidrug-resistant Helicobacter pylori
Xixi Guo, Xiaosa Zhao, Xi Lü, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 6
Integrating chemistry knowledge in large language models via prompt engineering
Hongxuan Liu, Haoyu Yin, Zhiyao Luo, et al.
Synthetic and Systems Biotechnology (2024) Vol. 10, Iss. 1, pp. 23-38
Open Access | Times Cited: 6
Biomolecular condensates as stress sensors and modulators of bacterial signaling
Moeka Sasazawa, Dylan T. Tomares, W. Seth Childers, et al.
PLoS Pathogens (2024) Vol. 20, Iss. 8, pp. e1012413-e1012413
Open Access | Times Cited: 6
HTINet2: herb–target prediction via knowledge graph embedding and residual-like graph neural network
Pengbo Duan, Kuo Yang, Xin‐zhuan Su, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 6
Data-centric challenges with the application and adoption of artificial intelligence for drug discovery
Ghita Ghislat, Saiveth Hernández-Hernández, Chayanit Piyawajanusorn, et al.
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 11, pp. 1297-1307
Closed Access | Times Cited: 6
Immunosenescence: How Aging Increases Susceptibility to Bacterial Infections and Virulence Factors
Nikolaos Theodorakis, Georgios Feretzakis, Christos Hitas, et al.
Microorganisms (2024) Vol. 12, Iss. 10, pp. 2052-2052
Open Access | Times Cited: 6
Machine Learning-Based Virtual Screening of Antibacterial Agents against Methicillin-Susceptible and Resistant Staphylococcus aureus
Philipe Oliveira Fernandes, Anna Letícia Teotonio Dias, Valtair Severino dos Santos, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1932-1944
Closed Access | Times Cited: 5
Hybrid modeling design patterns
Maja Rudolph, Stefan Kurz, Barbara Rakitsch
Journal of Mathematics in Industry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Medium-sized peptides from microbial sources with potential for antibacterial drug development
Jianwei Chen, Wei Wang, Xubin Hu, et al.
Natural Product Reports (2024) Vol. 41, Iss. 8, pp. 1235-1263
Closed Access | Times Cited: 5
Surfactants produced from carbohydrate derivatives: Part 2. A review on the value chain, synthesis, and the potential role of artificial intelligence within the biorefinery concept
Ronald Márquez, Maria Soledad Ortiz, Nelson Barrios, et al.
Journal of Surfactants and Detergents (2024)
Open Access | Times Cited: 5
Scaffold Splits Overestimate Virtual Screening Performance
Qianrong Guo, Saiveth Hernández-Hernández, Pedro J. Ballester
Lecture notes in computer science (2024), pp. 58-72
Closed Access | Times Cited: 5
Pre-training with fractional denoising to enhance molecular property prediction
Yuyan Ni, Shikun Feng, Xin Hong, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 5
The future of machine learning for small-molecule drug discovery will be driven by data
G. J. DURANT, Fergus Boyles, Kristian Birchall, et al.
Nature Computational Science (2024) Vol. 4, Iss. 10, pp. 735-743
Closed Access | Times Cited: 5
An automatic end-to-end chemical synthesis development platform powered by large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Evaluating generalizability of artificial intelligence models for molecular datasets
Yasha Ektefaie, Andrew Shen, Daria Bykova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Conformal prediction of molecule-induced cancer cell growth inhibition challenged by strong distribution shifts
Saiveth Hernández-Hernández, Qianrong Guo, Pedro J. Ballester
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Artificial intelligence for small molecule anticancer drug discovery
Lihui Duo, Yu Liu, Jianfeng Ren, et al.
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 8, pp. 933-948
Closed Access | Times Cited: 4
Artificial Intelligence in Cardiovascular Clinical Trials
Jonathan W. Cunningham, William T. Abraham, Ankeet S. Bhatt, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 20, pp. 2051-2062
Open Access | Times Cited: 4
LEGO-Lipophosphonoxin membrane activity is enhanced by presence of phosphatidylethanolamine but hindered by outer membrane
Hana Brzobohatá, Milica Dugić, Viktor Mojr, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
BiFusionPathoNet: fusion network for drug-resistant bacteria identification via optical scattering patterns
Yichuan Wang, Xu He, Mubashir Hussain, et al.
Analytical Methods (2025)
Closed Access

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