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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:

Functional annotation of enzyme-encoding genes using deep learning with transformer layers
Gi Bae Kim, Ji Yeon Kim, Jong An Lee, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Intein-mediated temperature control for complete biosynthesis of sanguinarine and its halogenated derivatives in yeast
Yuanwei Gou, Dongfang Li, Minghui Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Photoreceptor metabolic window unveils eye–body interactions
Shaopeng Yang, Zhuoyao Xin, Weijing Cheng, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters
Veda Sheersh Boorla, Costas D. Maranas
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Cell factory design with advanced metabolic modelling empowered by artificial intelligence
Hongzhong Lu, Luchi Xiao, Wenbin Liao, et al.
Metabolic Engineering (2024) Vol. 85, pp. 61-72
Open Access | Times Cited: 7
Common pitfalls in drug target Mendelian randomization and how to avoid them
Dipender Gill, Marie‐Joe Dib, Héléne T. Cronjé, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Biomedical Data Science, Artificial Intelligence, and Ethics: Navigating Challenges in the Face of Explosive Growth
Carole A. Federico, Artem A. Trotsyuk
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 1-14
Closed Access | Times Cited: 5
Interpretable Kolmogorov-Arnold Networks for Enzyme Commission Number Prediction
Louis Dumontet, So-Ra Han, Axel Prouvost, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
DeepES: Deep learning-based enzyme screening to identify orphan enzyme genes
K. Hirota, Felix Salim, Takuji Yamada
Bioinformatics (2025) Vol. 41, Iss. 3
Open Access
HIT-EC: Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer
Louis Dumontet, So-Ra Han, Tae‐Jin Oh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Comparative Assessment of Protein Large Language Models for Enzyme Commission Number Prediction
João Capela, Maria Zimmermann‐Kogadeeva, Aalt D. J. van Dijk, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Molecular insights fast-tracked: AI in biosynthetic pathway research
Lijuan Liao, Mengjun Xie, Xiaoshan Zheng, et al.
Natural Product Reports (2025)
Closed Access
Enzyme functional classification using artificial intelligence
Hyung Kyu Kim, H. Ji, Gi Bae Kim, et al.
Trends in biotechnology (2025)
Closed Access
Recent advances in understanding the fitness and survival mechanisms of Vibrio parahaemolyticus
Zhuosheng Liu, Zhou Yi, Hongye Wang, et al.
International Journal of Food Microbiology (2024) Vol. 417, pp. 110691-110691
Open Access | Times Cited: 3
FuncFetch: An LLM-assisted workflow enables mining thousands of enzyme-substrate interactions from published manuscripts
Nathaniel Smith, Xinyu Yuan, Chesney Melissinos, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
A new bacterial phospholipase D with specificity for phosphatidylethanolamine over phosphatidylcholine
Zongze Wu, Sébastien Violot, Abdelkarim Abousalham, et al.
International Journal of Biological Macromolecules (2025) Vol. 304, pp. 140578-140578
Open Access
Transaction fraud detection via attentional spatial–temporal GNN
Samiyeh Khosravi, Mehrdad Kargari, Babak Teimourpour, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
FusionESP: Improved Enzyme–Substrate Pair Prediction by Fusing Protein and Chemical Knowledge
Zhenjiao Du, Weimin Fu, Xiaolong Guo, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Data-driven revolution of enzyme catalysis from the perspective of reactions, pathways, and enzymes
Tiantao Liu, Silong Zhai, Xinke Zhan, et al.
Cell Reports Physical Science (2025), pp. 102466-102466
Open Access
An integrated AI knowledge graph framework of bacterial enzymology and metabolism
Norman Spencer, Mathusan Gunabalasingam, Keshav Dial, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 15
Open Access
Beyond co-expression: pathway discovery for plant pharmaceuticals
Sandesh H Swamidatta, Benjamin R. Lichman
Current Opinion in Biotechnology (2024) Vol. 88, pp. 103147-103147
Open Access | Times Cited: 2
Improved enzyme functional annotation prediction using contrastive learning with structural inference
Yuxin Yang, Abby Jerger, Song Feng, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Back to the Future of Metabolism—Advances in the Discovery and Characterization of Unknown Biocatalytic Functions and Pathways
Roland Wohlgemuth
Life (2024) Vol. 14, Iss. 3, pp. 364-364
Open Access | Times Cited: 1
CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameterskcat,KmandKi
Veda Sheersh Boorla, Costas D. Maranas
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameters kcat, Km and Ki
Costas D. Maranas, Veda Sheersh Boorla
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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