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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:

Network modeling of single-cell omics data: challenges, opportunities, and progresses
Montgomery Blencowe, Douglas Arneson, Jessica Ding, et al.
Emerging Topics in Life Sciences (2019) Vol. 3, Iss. 4, pp. 379-398
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues
Dominik Saul, Robyn Laura Kosinsky, Elizabeth J. Atkinson, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 462
Single cell RNA analysis identifies cellular heterogeneity and adaptive responses of the lung at birth
Minzhe Guo, Yina Du, Jason J. Gokey, et al.
Nature Communications (2018) Vol. 10, Iss. 1
Open Access | Times Cited: 200
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: 187
Understanding cell‐cell communication and signaling in the colorectal cancer microenvironment
Shaikha AlMusawi, Mehreen Ahmed, Abdolrahman S. Nateri
Clinical and Translational Medicine (2021) Vol. 11, Iss. 2
Open Access | Times Cited: 104
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: 91
The diversification of methods for studying cell–cell interactions and communication
Erick Armingol, Hratch Baghdassarian, Nathan E. Lewis
Nature Reviews Genetics (2024) Vol. 25, Iss. 6, pp. 381-400
Closed Access | Times Cited: 52
Single cell molecular alterations reveal target cells and pathways of concussive brain injury
Douglas Arneson, Victor Wei Zhang, Zhe Ying, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 158
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: 118
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: 90
Omics in Systems Biology: Current Progress and Future Outlook
Timothy D. Veenstra
PROTEOMICS (2020) Vol. 21, Iss. 3-4
Closed Access | Times Cited: 73
Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application
Minghui Wang, Won‐Min Song, Ming Chen, et al.
Molecular Neurodegeneration (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 69
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies
Lihong Peng, Feixiang Wang, Zhao Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 68
Neuroinflammation and Brain Disease
Anna Bersano, Jürgen Engele, M.K.E. Schäfer
BMC Neurology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 24
The Genetic Architecture of Diet‐Induced Hepatic Fibrosis in Mice
Simon T. Hui, Zeyneb Kurt, Iina Tuominen, et al.
Hepatology (2018) Vol. 68, Iss. 6, pp. 2182-2196
Open Access | Times Cited: 63
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: 7
Combining LIANA and Tensor-cell2cell to decipher cell-cell communication across multiple samples
Hratch Baghdassarian, Daniel Dimitrov, Erick Armingol, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 4, pp. 100758-100758
Open Access | Times Cited: 6
Integration of single-cell multi-omics for gene regulatory network inference
Xinlin Hu, Yaohua Hu, Fanjie Wu, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1925-1938
Open Access | Times Cited: 49
From time-series transcriptomics to gene regulatory networks: A review on inference methods
Malvina Marku, Véra Pancaldi
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011254-e1011254
Open Access | Times Cited: 15
SCING: Inference of robust, interpretable gene regulatory networks from single cell and spatial transcriptomics
Russell Littman, Michael Cheng, Ning Wang, et al.
iScience (2023) Vol. 26, Iss. 7, pp. 107124-107124
Open Access | Times Cited: 14
Network Modeling Approaches and Applications to Unravelling Non-Alcoholic Fatty Liver Disease
Montgomery Blencowe, Tilan Karunanayake, Julian Wier, et al.
Genes (2019) Vol. 10, Iss. 12, pp. 966-966
Open Access | Times Cited: 37
Time-Based Systems Biology Approaches to Capture and Model Dynamic Gene Regulatory Networks
José M. Álvarez, Matthew D. Brooks, Joseph Swift, et al.
Annual Review of Plant Biology (2021) Vol. 72, Iss. 1, pp. 105-131
Open Access | Times Cited: 29
Network-based approaches for modeling disease regulation and progression
Gihanna Galindez, Sepideh Sadegh, Jan Baumbach, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 780-795
Open Access | Times Cited: 22
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
Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data
Atul Deshpande, Li‐Fang Chu, Ron Stewart, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 32
Effect of imputation on gene network reconstruction from single-cell RNA-seq data
Lam-Ha Ly, Martin Vingron
Patterns (2021) Vol. 3, Iss. 2, pp. 100414-100414
Open Access | Times Cited: 24
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