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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.

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Showing 1-25 of 49 citing articles:

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: 189
CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics
Suoqin Jin, Maksim V. Plikus, Qing Nie
Nature Protocols (2024)
Closed Access | Times Cited: 94
CellChat for systematic analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Suoqin Jin, Maksim V. Plikus, Qing Nie
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 93
Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing
Nicolas Ledru, Parker C. Wilson, Yoshiharu Muto, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 27
Prediction of p-phenylenediamine antioxidant concentrations in human urine using machine learning models
Jianli Qu, Weili Mao, Mei Chen, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137184-137184
Closed Access | Times Cited: 7
Polymer gels for aqueous metal batteries
Tianfu Zhang, Keliang Wang, Hengwei Wang, et al.
Progress in Materials Science (2025), pp. 101426-101426
Closed Access | Times Cited: 3
Interpreting non-coding disease-associated human variants using single-cell epigenomics
Kyle J. Gaulton, Sebastian Preißl, Bing Ren
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 516-534
Open Access | Times Cited: 39
Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data
Daniel Kim, Andy Tran, Hani Jieun Kim, et al.
npj Systems Biology and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 38
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 11
Benchmarking algorithms for single-cell multi-omics prediction and integration
Yinlei Hu, Siyuan Wan, Yuanhanyu Luo, et al.
Nature Methods (2024)
Closed Access | Times Cited: 9
A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
Xi Xi, Jiaqi Li, Jinmeng Jia, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
IReNA: Integrated regulatory network analysis of single-cell transcriptomes and chromatin accessibility profiles
Junyao Jiang, Pin Lyu, Jinlian Li, et al.
iScience (2022) Vol. 25, Iss. 11, pp. 105359-105359
Open Access | Times Cited: 25
scGRN: a comprehensive single-cell gene regulatory network platform of human and mouse
Xuemei Huang, Chao Song, Guorui Zhang, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D293-D303
Open Access | Times Cited: 15
Single Cell Multiomics Identifies Cells and Genetic Networks Underlying Alveolar Capillary Dysplasia
Minzhe Guo, Kathryn A. Wikenheiser‐Brokamp, Joseph A. Kitzmiller, et al.
American Journal of Respiratory and Critical Care Medicine (2023) Vol. 208, Iss. 6, pp. 709-725
Open Access | Times Cited: 14
Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data
Yang Li, Anjun Ma, Yizhong Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 5
An Attention‐Based Deep Neural Network Model to Detect Cis‐Regulatory Elements at the Single‐Cell Level From Multi‐Omics Data
Murakami Ken, Keita Iida, Mariko Okada
Genes to Cells (2025) Vol. 30, Iss. 2
Open Access
Interpretable Data Integration for Single Cell and Spatial Multi-Omics
Chenghui Yang, Zhentao He, Qing Nie, et al.
(2025)
Closed Access
Multi-modal Diffusion Model with Dual-Cross-Attention for Multi-Omics Data Generation and Translation
Erpai Luo, Qiao Liu, Minsheng Hao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
A large-scale benchmark for network inference from single-cell perturbation data
Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
scAB detects multiresolution cell states with clinical significance by integrating single-cell genomics and bulk sequencing data
Qinran Zhang, Suoqin Jin, Xiufen Zou
Nucleic Acids Research (2022) Vol. 50, Iss. 21, pp. 12112-12130
Open Access | Times Cited: 16
Predicting the risk of primary Sjögren's syndrome with key N7-methylguanosine-related genes: A novel XGBoost model
Hui Xie, Y. Deng, J. L. Li, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31307-e31307
Open Access | Times Cited: 3
Single-cell and spatial multiomic inference of gene regulatory networks using SCRIPro
Zhanhe Chang, Yunfan Xu, Xin Dong, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access | Times Cited: 3
A single-cell multimodal view on gene regulatory network inference from transcriptomics and chromatin accessibility data
Jens Uwe Loers, Vanessa Vermeirssen
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 3
Accelerating Ionic Liquid Research in Perovskite Solar Cells through Machine Learning:Opportunities and Challenges
Jiazheng Wang, Qiang Lou, Zhengjie Xu, et al.
Materials Today Electronics (2025), pp. 100143-100143
Open Access
Altered AP-1, RUNX, and EGR chromatin dynamics drive fibrotic lung disease
Eleanor Valenzi, Minxue Jia, Peter Gerges, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
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