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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:

Mapping gene regulatory networks from single-cell omics data
Mark Fiers, Liesbeth Minnoye, Sara Aibar, et al.
Briefings in Functional Genomics (2017) Vol. 17, Iss. 4, pp. 246-254
Open Access | Times Cited: 215

Showing 1-25 of 215 citing articles:

A scalable SCENIC workflow for single-cell gene regulatory network analysis
Bram Van de Sande, Christopher Flerin, Kristofer Davie, et al.
Nature Protocols (2020) Vol. 15, Iss. 7, pp. 2247-2276
Closed Access | Times Cited: 824
cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data
Carmen Bravo González‐Blas, Liesbeth Minnoye, Dafni Papasokrati, et al.
Nature Methods (2019) Vol. 16, Iss. 5, pp. 397-400
Open Access | Times Cited: 396
Dissecting cell identity via network inference and in silico gene perturbation
Kenji Kamimoto, Blerta Stringa, Christy M. Hoffmann, et al.
Nature (2023) Vol. 614, Iss. 7949, pp. 742-751
Open Access | Times Cited: 302
Revealing the Critical Regulators of Cell Identity in the Mouse Cell Atlas
Shengbao Suo, Qian Zhu, Assieh Saadatpour, et al.
Cell Reports (2018) Vol. 25, Iss. 6, pp. 1436-1445.e3
Open Access | Times Cited: 243
A community-based transcriptomics classification and nomenclature of neocortical cell types
Rafael Yuste, Michael Hawrylycz, Nadia Aalling, et al.
Nature Neuroscience (2020) Vol. 23, Iss. 12, pp. 1456-1468
Open Access | Times Cited: 238
Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
Shuonan Chen, Jessica C. Mar
BMC Bioinformatics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 228
Single-cell transcriptomics unveils gene regulatory network plasticity
Giovanni Iacono, Ramon Massoni-Badosa, Holger Heyn
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 199
The single-cell eQTLGen consortium
Monique G.P. van der Wijst, DH de Vries, Hilde E. Groot, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 180
Network Medicine in the Age of Biomedical Big Data
Abhijeet R. Sonawane, Scott T. Weiss, Kimberly Glass, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 175
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
Transcription factors: Bridge between cell signaling and gene regulation
Paula Weidemüller, Maksim Kholmatov, Evangelia Petsalaki, et al.
PROTEOMICS (2021) Vol. 21, Iss. 23-24
Open Access | Times Cited: 151
Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe
Xiaojie Qiu, Arman Rahimzamani, Li Wang, et al.
Cell Systems (2020) Vol. 10, Iss. 3, pp. 265-274.e11
Open Access | Times Cited: 140
Network inference with Granger causality ensembles on single-cell transcriptomics
Atul Deshpande, Li‐Fang Chu, Ron Stewart, et al.
Cell Reports (2022) Vol. 38, Iss. 6, pp. 110333-110333
Open Access | Times Cited: 89
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology Mechanisms of Disease (2023) Vol. 19, Iss. 1, pp. 541-570
Open Access | Times Cited: 38
Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation
Carmen Bravo González‐Blas, Irina Matetovici, Hanne Hillen, et al.
Nature Cell Biology (2024) Vol. 26, Iss. 1, pp. 153-167
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
Decoding the gene regulatory network of endosperm differentiation in maize
Yue Yuan, Qiang Huo, Ziru Zhang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
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
Gene regulatory network inference resources: A practical overview
Daniele Mercatelli, Laura Scalambra, Luca Triboli, et al.
Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (2019) Vol. 1863, Iss. 6, pp. 194430-194430
Closed Access | Times Cited: 129
A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data
Hung Nguyen, Duc Tran, Bang Tran, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 129
Update on the Genetics of Systemic Lupus Erythematosus: Genome-Wide Association Studies and Beyond
Young-Chang Kwon, Sehwan Chun, Kwang-Woo Kim, et al.
Cells (2019) Vol. 8, Iss. 10, pp. 1180-1180
Open Access | Times Cited: 127
Single-cell RNAseq for the study of isoforms—how is that possible?
Ángeles Arzalluz-Luque, Ana Conesa
Genome biology (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 116
Single-cell network biology for resolving cellular heterogeneity in human diseases
Junha Cha, Insuk Lee
Experimental & Molecular Medicine (2020) Vol. 52, Iss. 11, pp. 1798-1808
Open Access | Times Cited: 108
CellOracle: Dissecting cell identity via network inference and in silico gene perturbation
Kenji Kamimoto, Christy M. Hoffmann, Samantha A. Morris
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 89
Computational Methods for Single-Cell RNA Sequencing
Brian Hie, Joshua M. Peters, Sarah K. Nyquist, et al.
Annual Review of Biomedical Data Science (2020) Vol. 3, Iss. 1, pp. 339-364
Open Access | Times Cited: 89
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