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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:

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: 157

Showing 1-25 of 157 citing articles:

Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities
Sophia Müller‐Dott, Eirini Tsirvouli, Miguél Vázquez, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 20, pp. 10934-10949
Open Access | Times Cited: 82
Microfluidic Impedance Cytometry Enabled One‐Step Sample Preparation for Efficient Single‐Cell Mass Spectrometry
Junwen Zhu, Siyuan Pan, Huichao Chai, et al.
Small (2024) Vol. 20, Iss. 26
Closed Access | Times Cited: 22
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: 20
Current and future directions in network biology
Marinka Żitnik, Michelle M. Li, A. V. Wells, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 18
Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data
Qiuyue Yuan, Zhana Duren
Nature Biotechnology (2024)
Open Access | Times Cited: 17
Gene expression networks regulated by human personality
Coral del Val, Elisa Díaz de la Guardia‐Bolívar, Igor Zwir, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 7, pp. 2241-2260
Open Access | Times Cited: 15
Transformers in single-cell omics: a review and new perspectives
Artur Szałata, Karin Hrovatin, Sören Becker, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1430-1443
Closed Access | Times Cited: 14
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: 12
Single-cell analysis of chromatin accessibility in the adult mouse brain
Songpeng Zu, Yang Eric Li, Kangli Wang, et al.
Nature (2023) Vol. 624, Iss. 7991, pp. 378-389
Open Access | Times Cited: 29
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: 28
Big data and deep learning for RNA biology
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 7
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: 6
Gene regulatory networks in disease and ageing
Paula Unger Avila, Tsimafei Padvitski, Ana Carolina Leote, et al.
Nature Reviews Nephrology (2024) Vol. 20, Iss. 9, pp. 616-633
Closed Access | Times Cited: 6
A joint analysis of single cell transcriptomics and proteomics using transformer
Yuanyuan Chen, Xiaodan Fan, Chaowen Shi, et al.
npj Systems Biology and Applications (2025) Vol. 11, Iss. 1
Open Access
Specifying cellular context of transcription factor regulons for exploring context-specific gene regulation programs
Mariia Minaeva, Júlia Domingo, Philipp Rentzsch, et al.
NAR Genomics and Bioinformatics (2025) Vol. 7, Iss. 1
Open Access
Simple controls exceed best deep learning algorithms and reveal foundation model effectiveness for predicting genetic perturbations
Daniel R. Wong, Abby S. Hill, Rocco Moccia
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Causal modeling of gene effects from regulators to programs to traits: integration of genetic associations and Perturb-seq
Mineto Ota, Jeffrey P. Spence, Tony Zeng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Analysis of gene regulatory networks from gene expression using graph neural networks
Hakan T. Otal, Abdülhamit Subaşı, Furkan Kurt, et al.
Elsevier eBooks (2025), pp. 249-270
Closed Access
Reconstruction of gene regulatory networks from single cell transcriptomic data
Mikhail A. Rybakov, N. A. Omelyanchuk, Elena V. Zemlyanskaya
Vavilov Journal of Genetics and Breeding (2025) Vol. 28, Iss. 8, pp. 974-981
Open Access
MICA: a multi-omics method to predict gene regulatory networks in early human embryos
Gregorio Alanis‐Lobato, Thomas E. Bartlett, Qiulin Huang, et al.
Life Science Alliance (2023) Vol. 7, Iss. 1, pp. e202302415-e202302415
Open Access | Times Cited: 14
Functional analysis of cell plasticity using single-cell technologies
Xiao Qin, Christopher J. Tape
Trends in Cell Biology (2024) Vol. 34, Iss. 10, pp. 854-864
Open Access | Times Cited: 5
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
Sumaya Alghamdi, Turki Turki
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Graph neural network approaches for single-cell data: a recent overview
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Panagiotis Vlamos, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9963-9987
Closed Access | Times Cited: 5
GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks
Yazdan Zinati, Abdulrahman Takiddeen, Amin Emad
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Cancer drug-tolerant persister cells: from biological questions to clinical opportunities
Mariangela Russo, Mengnuo Chen, Elisa Mariella, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 10, pp. 694-717
Closed Access | Times Cited: 5
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