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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:

MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer
Xiaoying Wang, Maoteng Duan, Jingxian Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos
Ryan M Finnerty, Daniel J Carulli, Akshata Hegde, et al.
(2025)
Open Access | Times Cited: 1
Artificial intelligence for life sciences: A comprehensive guide and future trends
Ming Luo, Wenyu Yang, Long Bai, et al.
The Innovation Life (2024), pp. 100105-100105
Closed Access | Times Cited: 6
WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq
Yiran Wang, Pu-Feng Du
Frontiers in Genetics (2025) Vol. 16
Open Access
Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos
Ryan M Finnerty, Daniel J Carulli, Anne-Marie Hedge, et al.
eLife (2025) Vol. 13
Open Access
Graph neural networks for single-cell omics data: a review of approaches and applications
Shiming Li, Heyang Hua, Shengquan Chen
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Transcriptionally distinct malignant neuroblastoma populations show selective response to adavosertib treatment
Chiao-Hui Hsieh, Yixuan Chen, Tzu-Yang Tseng, et al.
Neurotherapeutics (2025), pp. e00575-e00575
Open Access
Perspectives on integrating artificial intelligence and single‐cell omics for cellular plasticity research
Ahmed H. Ghobashi, Qin Ma
Quantitative Biology (2025) Vol. 13, Iss. 4
Open Access
Harnessing the deep learning power of foundation models in single-cell omics
Qin Ma, Yi Jiang, Hao Cheng, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 8, pp. 593-594
Closed Access | Times Cited: 3
Integrative approach of omics and imaging data to discover new insights for understanding brain diseases
Jong Hyuk Yoon, Hagyeong Lee, Dayoung Kwon, et al.
Brain Communications (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 3
scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data
Yunpei Xu, Shaokai Wang, Qilong Feng, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos
Ryan M Finnerty, Daniel J Carulli, Akshata Hegde, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data
Yunpei Xu, Shaokai Wang, Hong‐Dong Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Both intrinsic and microenvironmental factors contribute to the regulation of stem cell quiescence
Ping Zhou, Mingzheng Hu, Qingchao Li, et al.
Journal of Cellular Physiology (2024) Vol. 239, Iss. 8
Closed Access
NOVEL INTEGRATIVE MULTI-OMICS STRATEGIES OF HUMAN’S BIOLOGICAL AGE COMPUTATION
И.А. Соловьёв
Успехи геронтологии (2024) Vol. 37, Iss. 1-2, pp. 21-25
Open Access
Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells
Shudong Wang, Hengxiao Li, Yahui Liu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6596-6609
Closed Access
Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos
Ryan M Finnerty, Daniel J Carulli, Anne-Marie Hedge, et al.
eLife (2024) Vol. 13
Open Access
DECA: harnessing interpretable transformer model for cellular deconvolution of chromatin accessibility profile
Shijie Luo, Ming Zhu, Liquan Lin, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
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