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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:

crisprSQL: a novel database platform for CRISPR/Cas off-target cleavage assays
Florian Störtz, Péter Mináry
Nucleic Acids Research (2020) Vol. 49, Iss. D1, pp. D855-D861
Open Access | Times Cited: 25

Showing 25 citing articles:

Advancing genome editing with artificial intelligence: opportunities, challenges, and future directions
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 40
Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
Yuye Wu, Dheerendranath Battalapalli, Mohammed J. Hakeem, et al.
Journal of Nanobiotechnology (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 83
Multiplex Genome-Editing Technologies for Revolutionizing Plant Biology and Crop Improvement
Mohamed Abdelrahman, Wei Zheng, Jai S. Rohila, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 61
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review
Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 36
piCRISPR: Physically informed deep learning models for CRISPR/Cas9 off-target cleavage prediction
Florian Störtz, Jeffrey K. Mak, Péter Mináry
Artificial Intelligence in the Life Sciences (2023) Vol. 3, pp. 100075-100075
Open Access | Times Cited: 16
Generating, modeling and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges
Ofir Yaish, Yaron Orenstein
Nucleic Acids Research (2024) Vol. 52, Iss. 12, pp. 6777-6790
Open Access | Times Cited: 5
Machine learning applications for therapeutic tasks with genomics data
Kexin Huang, Cao Xiao, Lucas M. Glass, et al.
Patterns (2021) Vol. 2, Iss. 10, pp. 100328-100328
Open Access | Times Cited: 32
Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Comprehensive computational analysis of epigenetic descriptors affecting CRISPR-Cas9 off-target activity
Jeffrey K. Mak, Florian Störtz, Péter Mináry
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 13
A systematic evaluation of data processing and problem formulation of CRISPR off-target site prediction
Ofir Yaish, Maor Asif, Yaron Orenstein
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 12
CRISPRoffT: comprehensive database of CRISPR/Cas off-targets
Grant Wang, Xiaona Liu, Aoqi Wang, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D914-D924
Open Access | Times Cited: 2
A Review on CRISPR-mediated Epigenome Editing: A Future Directive for Therapeutic Management of Cancer
Dipanjan Ghosh, Rudra Chakravarti, Swadhin Kumar Lenka, et al.
Current Drug Targets (2022) Vol. 23, Iss. 8, pp. 836-853
Closed Access | Times Cited: 9
The Evolution of Nucleic Acid–Based Diagnosis Methods from the (pre-)CRISPR to CRISPR era and the Associated Machine/Deep Learning Approaches in Relevant RNA Design
Shruti Sarika Chakraborty, Jayati Ray Dutta, Ramakrishnan Ganesan, et al.
Methods in molecular biology (2024), pp. 241-300
Closed Access | Times Cited: 1
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing
Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese
(2023)
Open Access | Times Cited: 2
A review on bioinformatics advances in CRISPR-Cas technology
Soumya Sharma, Sneha Murmu, Ritwika Das, et al.
Journal of Plant Biochemistry and Biotechnology (2022) Vol. 32, Iss. 4, pp. 791-807
Closed Access | Times Cited: 4
Multiplexed Genome Editing for Efficient Phenotypic Screening in Zebrafish
Shuyu Guo, Ge Gao, Cuizhen Zhang, et al.
Veterinary Sciences (2022) Vol. 9, Iss. 2, pp. 92-92
Open Access | Times Cited: 3
Designing Epigenome Editors: Considerations of Biochemical and Locus Specificities
Z. Begum Yagci, Gautami R Kelkar, T. Johnson, et al.
Methods in molecular biology (2024), pp. 23-55
Closed Access
Be-dataHIVE: a base editing database
Lucas Schneider, Péter Mináry
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
piCRISPR: Physically Informed Deep Learning Models for CRISPR/Cas9 Off-Target Cleavage Prediction
Florian Störtz, Jeffrey K. Mak, Péter Mináry
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Unbiased prediction of off‐target sites in genome‐edited rice using SITE‐Seq analysis on a web‐based platform
Jumpei Narushima, Shinya Kimata, Yuh Shiwa, et al.
Genes to Cells (2022) Vol. 27, Iss. 12, pp. 706-718
Closed Access | Times Cited: 1
Strategy for detecting off-target sites in genome-edited rice
Jumpei Narushima, Shinya Kimata, Yuh Shiwa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Generating, modeling, and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges
Ofir Yaish, Yaron Orenstein
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Specificity of CRISPR‐Cas9 Gene Editing
Niklas Selfjord, Alexandra Madsen, Pınar Akçakaya
(2022), pp. 289-312
Closed Access
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Kexin Huang, Cao Xiao, Lucas M. Glass, et al.
arXiv (Cornell University) (2021)
Open Access
A systematic evaluation of data processing and problem formulation of CRISPR off-target site prediction
Ofir Yaish, Maor Asif, Yaron Orenstein
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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