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:

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

Showing 16 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

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

CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction
Md. Toufikuzzaman, Md. Abul Hassan Samee, M. Sohel Rahman
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 8

Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities
Guishan Zhang, Ye Luo, Xianhua Dai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 14

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

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

Engineering a New Generation of Gene Editors: Integrating Synthetic Biology and AI Innovations
Bing Shao Chia, Samantha Seah, Bolun Wang, et al.
ACS Synthetic Biology (2025)
Closed Access

Learning to quantify uncertainty in off-target activity for CRISPR guide RNAs
Furkan Özden, Péter Mináry
Nucleic Acids Research (2024)
Open Access | Times Cited: 1

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

gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement
Cristofer Motoche-Monar, Julián E. Ordoñez, Oscar Chang, et al.
Biomolecules (2023) Vol. 13, Iss. 12, pp. 1698-1698
Open Access | Times Cited: 3

基因编辑设计和分析辅助工具的研究进展
Xianrong Xie, Fuquan Li, Ruixiang Zhang, et al.
Chinese Science Bulletin (Chinese Version) (2024)
Open Access

Be-dataHIVE: a base editing database
Lucas Schneider, Péter Mináry
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access

The Interface of Gene Editing with Regenerative Medicine
Veronica E. Farag, Elsie A. Devey, Kam W. Leong
Engineering (2024)
Open Access

Deep learning in personalized genomics and gene editing
Leimarembi Devi Naorem, Kamakshi Shrivastava, Pratik Chandrani
Elsevier eBooks (2024), pp. 151-170
Closed Access

Quantifying uncertainty in off-target activity for CRISPR guide RNAs
Furkan Özden, Péter Mináry
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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

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