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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:

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Generative artificial intelligence empowers digital twins in drug discovery and clinical trials
Maria Bordukova, Nikita Makarov, Raul Rodriguez‐Esteban, et al.
Expert Opinion on Drug Discovery (2023) Vol. 19, Iss. 1, pp. 33-42
Open Access | Times Cited: 62
CZ CELL×GENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data
Shibla Abdulla, Brian D. Aevermann, Pedro Assis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 62
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 61
Decoding the tumor microenvironment with spatial technologies
Logan A. Walsh, Daniela F. Quail
Nature Immunology (2023) Vol. 24, Iss. 12, pp. 1982-1993
Closed Access | Times Cited: 57
Large Scale Foundation Model on Single-cell Transcriptomics
Minsheng Hao, Jing Gong, Xin Zeng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 56
The diversification of methods for studying cell–cell interactions and communication
Erick Armingol, Hratch Baghdassarian, Nathan E. Lewis
Nature Reviews Genetics (2024) Vol. 25, Iss. 6, pp. 381-400
Closed Access | Times Cited: 47
Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system
Philipp Schäfer, Daniel Dimitrov, Eduardo J. Villablanca, et al.
Nature Immunology (2024) Vol. 25, Iss. 3, pp. 405-417
Closed Access | Times Cited: 18
Democratizing protein language models with parameter-efficient fine-tuning
Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 26
Open Access | Times Cited: 16
Data science opportunities of large language models for neuroscience and biomedicine
Danilo Bzdok, Andrew Thieme, Oleksiy Levkovskyy, et al.
Neuron (2024) Vol. 112, Iss. 5, pp. 698-717
Open Access | Times Cited: 14
Large language models in plant biology
Hilbert Yuen In Lam, Xing Er Ong, Marek Mutwil
Trends in Plant Science (2024) Vol. 29, Iss. 10, pp. 1145-1155
Open Access | Times Cited: 14
Universal Cell Embeddings: A Foundation Model for Cell Biology
Yanay Rosen, Yusuf Roohani, Ayush Agrawal, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 39
Fostering AI Literacy in Elementary Science, Technology, Engineering, Art, and Mathematics (STEAM) Education in the Age of Generative AI
Stefanus C. Relmasira, Yiu Chi Lai, Jonan Phillip Donaldson
Sustainability (2023) Vol. 15, Iss. 18, pp. 13595-13595
Open Access | Times Cited: 34
Scalable querying of human cell atlases via a foundational model reveals commonalities across fibrosis-associated macrophages
Graham Heimberg, Tony Kuo, Daryle J. DePianto, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 29
Assessing the limits of zero-shot foundation models in single-cell biology
Katarzyna Kedzierska, Lorin Crawford, Ava P. Amini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 29
Gene networks and systems biology in Alzheimer's disease: Insights from multi‐omics approaches
Negin Rahimzadeh, Shushrruth Sai Srinivasan, Jing Zhang, et al.
Alzheimer s & Dementia (2024) Vol. 20, Iss. 5, pp. 3587-3605
Open Access | Times Cited: 8
scMulan: A Multitask Generative Pre-Trained Language Model for Single-Cell Analysis
Haiyang Bian, Yixin Chen, Xiaomin Dong, et al.
Lecture notes in computer science (2024), pp. 479-482
Closed Access | Times Cited: 8
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 7
Multiplex single-cell chemical genomics reveals the kinase dependence of the response to targeted therapy
José L. McFaline‐Figueroa, Sanjay Srivatsan, Andrew J. Hill, et al.
Cell Genomics (2024) Vol. 4, Iss. 2, pp. 100487-100487
Open Access | Times Cited: 7
Deep Learning in Single-cell Analysis
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-62
Open Access | Times Cited: 7
Deep learning-based approaches for multi-omics data integration and analysis
Jenna L. Ballard, Zexuan Wang, Wenrui Li, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 7
GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation Model
Xiaodong Yang, Guole Liu, Guihai Feng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 21
Recent progresses in plant single-cell transcriptomics
Dihuai Zheng, Jiwei Xu, Yaqian Lu, et al.
Crop Design (2023) Vol. 2, Iss. 2, pp. 100041-100041
Open Access | Times Cited: 20
Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models
Tianwei Yue, Yuanxin Wang, Longxiang Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15858-15858
Open Access | Times Cited: 20
Evaluating the Utilities of Foundation Models in Single-cell Data Analysis
Tianyu Liu, Kexing Li, Yuge Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 17
Enablers and challenges of spatial omics, a melting pot of technologies
Theodore Alexandrov, Julio Sáez-Rodríguez, Sinem K. Saka
Molecular Systems Biology (2023) Vol. 19, Iss. 11
Open Access | Times Cited: 17
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