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 single-cell biology
Kyle Akers, T. M. Murali
Current Opinion in Systems Biology (2021) Vol. 26, pp. 87-97
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data
Guangyi Chen, Zhi‐Ping Liu
Bioinformatics (2022) Vol. 38, Iss. 19, pp. 4522-4529
Open Access | Times Cited: 48

Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
Marco Stock, Corinna Losert, M Zambon, et al.
Molecular Systems Biology (2025)
Closed Access | Times Cited: 1

One model fits all: Combining inference and simulation of gene regulatory networks
Elias Ventre, Ulysse Herbach, Thibault Espinasse, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 3, pp. e1010962-e1010962
Open Access | Times Cited: 18

Characterizing Cellular Differentiation Potency and Waddington Landscape via Energy Indicator
Hanshuang Li, Chunshen Long, Hong Yan, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 17

scMGATGRN: a multiview graph attention network–based method for inferring gene regulatory networks from single-cell transcriptomic data
Lin Yuan, Ling Zhao, Yufeng Jiang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 8

PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization
Claudia Skok Gibbs, Omar Mahmood, Richard Bonneau, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6

A single cell atlas of sexual development in Plasmodium falciparum
Sunil Kumar Dogga, Jesse C. Rop, Juliana Cudini, et al.
Science (2024) Vol. 384, Iss. 6695
Closed Access | Times Cited: 6

spliceJAC : transition genes and state‐specific gene regulation from single‐cell transcriptome data
Federico Bocci, Peijie Zhou, Qing Nie
Molecular Systems Biology (2022) Vol. 18, Iss. 11
Open Access | Times Cited: 28

Prediction of protein-RNA interactions from single-cell transcriptomic data
Jonathan Fiorentino, Alexandros Armaos, Alessio Colantoni, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 6, pp. e31-e31
Open Access | Times Cited: 5

Topological benchmarking of algorithms to infer gene regulatory networks from single-cell RNA-seq data
Marco Stock, Niclas Popp, Jonathan Fiorentino, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 5

Single-cell technology for plant systems biology
Sahand Amini, Sandra Thibivilliers, Andrew Farmer, et al.
Elsevier eBooks (2025), pp. 133-156
Closed Access

Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data
Junlin Xu, Changcheng Lu, Shuting Jin, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 5
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

Learning cell-specific networks from dynamics and geometry of single cells
Stephen Y. Zhang, Michael P. H. Stumpf
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6

A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing
Hyeonkyu Kim, Hwisoo Choi, Daewon Lee, et al.
Genes & Genomics (2023) Vol. 46, Iss. 1, pp. 1-11
Closed Access | Times Cited: 6

scSGL: kernelized signed graph learning for single-cell gene regulatory network inference
Abdullah Karaaslanli, Satabdi Saha, Selin Aviyente, et al.
Bioinformatics (2022) Vol. 38, Iss. 11, pp. 3011-3019
Closed Access | Times Cited: 9

Graph attention network with convolutional layer for predicting gene regulations from single-cell ribonucleic acid sequence data
Junjiang Liu, Shusen Zhou, Jing Ma, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108938-108938
Closed Access | Times Cited: 1

A single cell atlas of sexual development inPlasmodium falciparum
Sunil Kumar Dogga, Jesse C. Rop, Juliana Cudini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions
Abbas Shojaee, Shao‐shan Carol Huang
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 3

One model fits all: combining inference and simulation of gene regulatory networks
Elias Ventre, Ulysse Herbach, Thibault Espinasse, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3

Advances in computational and experimental approaches for deciphering transcriptional regulatory networks
Camille Moeckel, Ioannis Mouratidis, Nikol Chantzi, et al.
BioEssays (2024) Vol. 46, Iss. 7
Open Access

Gene2role: a role-based gene embedding method for comparative analysis of signed gene regulatory networks
Xin Zeng, Shu Liu, Bowen Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Theoretical studies regarding the formation of the gene regulatory network optimal topology
I. Liakh
Printing and Publishing (2023) Vol. 1, Iss. 85, pp. 40-50
Open Access | Times Cited: 1

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