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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:

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
Zhi‐Jie Cao, Ge Gao
Nature Biotechnology (2022) Vol. 40, Iss. 10, pp. 1458-1466
Open Access | Times Cited: 305

Showing 1-25 of 305 citing articles:

Best practices for single-cell analysis across modalities
Lukas Heumos, Anna C. Schaar, Christopher Lance, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 550-572
Open Access | Times Cited: 496
The technological landscape and applications of single-cell multi-omics
Alev Baysoy, Zhiliang Bai, Rahul Satija, et al.
Nature Reviews Molecular Cell Biology (2023) Vol. 24, Iss. 10, pp. 695-713
Open Access | Times Cited: 438
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1470-1480
Open Access | Times Cited: 255
Gene regulatory network inference in the era of single-cell multi-omics
Pau Badia-i-Mompel, Lorna Wessels, Sophia Müller‐Dott, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 11, pp. 739-754
Closed Access | Times Cited: 179
Organization of the human intestine at single-cell resolution
John W. Hickey, Winston R. Becker, Stephanie Nevins, et al.
Nature (2023) Vol. 619, Iss. 7970, pp. 572-584
Open Access | Times Cited: 153
Gene function and cell surface protein association analysis based on single-cell multiomics data
Huan Hu, Zhen Feng, Hai Lin, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106733-106733
Closed Access | Times Cited: 90
Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion
Xushen Xiong, Benjamin T. James, Carles A. Boix, et al.
Cell (2023) Vol. 186, Iss. 20, pp. 4422-4437.e21
Open Access | Times Cited: 90
Single-cell biological network inference using a heterogeneous graph transformer
Anjun Ma, Xiaoying Wang, Jingxian Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 88
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 3, pp. 399-408
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: 60
Modeling and analyzing single-cell multimodal data with deep parametric inference
Huan Hu, Zhen Feng, Hai Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 53
Mapping cells through time and space with moscot
Dominik Klein, Giovanni Palla, Marius Lange, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 51
Tumor heterogeneity: preclinical models, emerging technologies, and future applications
Marco Proietto, Martina Crippa, C. Damiani, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 50
Single-cell profiling to explore pancreatic cancer heterogeneity, plasticity and response to therapy
Stefanie Bärthel, Chiara Falcomatà, Roland Rad, et al.
Nature Cancer (2023) Vol. 4, Iss. 4, pp. 454-467
Open Access | Times Cited: 48
A fast, scalable and versatile tool for analysis of single-cell omics data
Kai Zhang, Nathan R. Zemke, Ethan J. Armand, et al.
Nature Methods (2024) Vol. 21, Iss. 2, pp. 217-227
Open Access | Times Cited: 45
Epicardioid single-cell genomics uncovers principles of human epicardium biology in heart development and disease
Anna B. Meier, Dorota Zawada, Maria Teresa De Angelis, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 12, pp. 1787-1800
Open Access | Times Cited: 42
Integration of spatial and single-cell data across modalities with weakly linked features
Shuxiao Chen, Bokai Zhu, Sijia Huang, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 7, pp. 1096-1106
Open Access | Times Cited: 41
Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS
眞智子 平賀, Shuofeng Hu, Yaowen Chen, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 10, pp. 1594-1605
Open Access | Times Cited: 23
The future of rapid and automated single-cell data analysis using reference mapping
Mohammad Lotfollahi, Yuhan Hao, Fabian J. Theis, et al.
Cell (2024) Vol. 187, Iss. 10, pp. 2343-2358
Open Access | Times Cited: 23
Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 22
Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases
Paul Kießling, Christoph Kuppe
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 21
Revealing microRNA regulation in single cells
Ranjan Kumar Maji, Matthias S. Leisegang, Reinier A. Boon, et al.
Trends in Genetics (2025)
Open Access | Times Cited: 3
AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
You Wu, Lei Xie
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 265-277
Open Access | Times Cited: 2
Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology
Jun Yan, Xiangfeng Wang
The Plant Journal (2022) Vol. 111, Iss. 6, pp. 1527-1538
Closed Access | Times Cited: 60
Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity
May Sin Ke, Badran Elshenawy, Helen Sheldon, et al.
BioEssays (2022) Vol. 44, Iss. 11
Open Access | Times Cited: 48
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