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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:

Learning the Regulatory Code of Gene Expression
Jan Zrimec, Filip Buric, Mariia Kokina, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Controlling gene expression with deep generative design of regulatory DNA
Jan Zrimec, Xiaozhi Fu, Azam Sheikh Muhammad, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 57
Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants
Erum Yasmeen, Jin Wang, Muhammad Riaz, et al.
Plant Communications (2023) Vol. 4, Iss. 4, pp. 100558-100558
Open Access | Times Cited: 29
BAC-browser: the tool for synthetic biology
Tatiana A. Semashko, Gleb Y. Fisunov, Georgiy Yu. Shevelev, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Network-based approaches for modeling disease regulation and progression
Gihanna Galindez, Sepideh Sadegh, Jan Baumbach, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 780-795
Open Access | Times Cited: 20
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Andrea Di Gioacchino, Jonah Procyk, Marco Molari, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010561-e1010561
Open Access | Times Cited: 17
The potential of cold-shock promoters for the expression of recombinant proteins in microbes and mammalian cells
Yaneth Bartolo-Aguilar, Cipriano Chávez-Cabrera, Luis B. Flores‐Cotera, et al.
Journal of Genetic Engineering and Biotechnology (2022) Vol. 20, Iss. 1, pp. 173-173
Open Access | Times Cited: 15
UTRGAN: Learning to Generate 5’ UTR Sequences for Optimized Translation Efficiency and Gene Expression
Sina Barazandeh, Furkan Özden, Ahmet Hınçer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Predicting transcriptional responses to heat and drought stress from genomic features using a machine learning approach in rice
Dajo Smet, Helder Opdebeeck, Klaas Vandepoele
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 6
Comparative Analysis of DNA Structural Parameters and the Corresponding Computational Tools to Differentiate Regulatory DNA Motifs and Promoters
Vasumathi Manivelan, Kavyashree Basavaraju, Bindu Sadanandan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Artificial Intelligence and Machine Learning in Bioinformatics
Mitchell J. O’Brien, Letitia M. F. Sng, Priya Ramarao-Milne, et al.
Elsevier eBooks (2024)
Closed Access | Times Cited: 1
Deep Generative Optimization of mRNA Codon Sequences for Enhanced Protein Production and Therapeutic Efficacy
Yupeng Li, Fan Wang, Jiaqi Yang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
Toward learning the principles of plant gene regulation
Jan Zrimec, Aleksej Zelezniak, Kristina Gruden
Trends in Plant Science (2022) Vol. 27, Iss. 12, pp. 1206-1208
Open Access | Times Cited: 6
Effective design and inference for cell sorting and sequencing based massively parallel reporter assays
Pierre-Aurélien Gilliot, Thomas E. Gorochowski
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6
Pretraining strategies for effective promoter-driven gene expression prediction
Aniketh Janardhan Reddy, Michael H. Herschl, Xinyang Geng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Effective design and inference for cell sorting and sequencing based massively parallel reporter assays
Pierre-Aurélien Gilliot, Thomas E. Gorochowski
Bioinformatics (2023) Vol. 39, Iss. 5
Open Access | Times Cited: 3
Exploring the utility of regulatory network-based machine learning for gene expression prediction in maize
Taylor H. Ferebee, Edward S. Buckler
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Andrea Di Gioacchino, Jonah Procyk, Marco Molari, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
CBLANE: A deep learning approach for Transcription Factor Binding Sites Prediction
Jonas Chris Ferrao, Dickson Dias, Sweta Morajkar
Research Square (Research Square) (2024)
Open Access
Expression system and purification process for the vaccine production
Suneetha Vuppu, Toshika Mishra, Amol D. Gholap, et al.
Elsevier eBooks (2024), pp. 131-151
Closed Access
Promoters in Pichia pastoris: A Toolbox for Fine-Tuned Gene Expression
Sareh Arjmand
Methods in molecular biology (2024), pp. 159-178
Closed Access
Introduction to nc-RNA and Their Crucial Role in Biological Regulation Under Environmental Stress
Ali Asghar, Zakir Ullah, Tamkanat E Ali, et al.
(2024), pp. 1-46
Closed Access
Deep Generative Optimization of mRNA Codon Sequences for Enhanced Protein Production and Therapeutic Efficacy
Zhi Xie, Yupeng Li, Fan Wang, et al.
Research Square (Research Square) (2024)
Open Access
Predictive Modeling of Gene Expression and Localization of DNA Binding Site Using Deep Convolutional Neural Networks
Arman Karshenas, Tom Röschinger, Hernán G. García
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Influence of the Nucleotide Composition of Genes and Gene Regulatory Elements on the Efficiency of Protein Expression in Escherichia coli
Artur I. Zabolotskii, Stanislav V. Kozlovskiy, Alexey G Katrukha
Biochemistry (Moscow) (2023) Vol. 88, Iss. S1, pp. S176-S191
Closed Access | Times Cited: 1
From Biological Gene to Functional Gene: Revolutionizing Product Innovation Design
Peng Zhang, Zeyuan Ren, Chuankai Zhang, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 199-199
Open Access | Times Cited: 1
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