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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:

Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments
Luyi Tian, Xueyi Dong, Saskia Freytag, et al.
Nature Methods (2019) Vol. 16, Iss. 6, pp. 479-487
Open Access | Times Cited: 317

Showing 1-25 of 317 citing articles:

Eleven grand challenges in single-cell data science
David Lähnemann, Johannes Köster, Ewa Szczurek, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 1045
Orchestrating single-cell analysis with Bioconductor
Robert A. Amezquita, Aaron T. L. Lun, Étienne Becht, et al.
Nature Methods (2019) Vol. 17, Iss. 2, pp. 137-145
Open Access | Times Cited: 740
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 497
Decontamination of ambient RNA in single-cell RNA-seq with DecontX
Shiyi Yang, Sean Corbett, Yusuke Koga, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 349
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Juexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 295
A systematic evaluation of single-cell RNA-sequencing imputation methods
Wenpin Hou, Zhicheng Ji, Hongkai Ji, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 241
The triumphs and limitations of computational methods for scRNA-seq
Peter V. Kharchenko
Nature Methods (2021) Vol. 18, Iss. 7, pp. 723-732
Closed Access | Times Cited: 237
Integrative Methods and Practical Challenges for Single-Cell Multi-omics
Anjun Ma, Adam McDermaid, Jennifer Xu, et al.
Trends in biotechnology (2020) Vol. 38, Iss. 9, pp. 1007-1022
Open Access | Times Cited: 205
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: 191
Essential guidelines for computational method benchmarking
Lukas M. Weber, Wouter Saelens, Robrecht Cannoodt, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 149
Next-generation computational tools for interrogating cancer immunity
Francesca Finotello, Dietmar Rieder, Hubert Hackl, et al.
Nature Reviews Genetics (2019) Vol. 20, Iss. 12, pp. 724-746
Closed Access | Times Cited: 148
Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data
Nan Miles Xi, Jingyi Jessica Li
Cell Systems (2020) Vol. 12, Iss. 2, pp. 176-194.e6
Open Access | Times Cited: 144
An entropy-based metric for assessing the purity of single cell populations
Baolin Liu, Chenwei Li, Ziyi Li, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 142
Single-cell analyses of aging, inflammation and senescence
Bora Uyar, Daniel H. Palmer, Axel Kowald, et al.
Ageing Research Reviews (2020) Vol. 64, pp. 101156-101156
Open Access | Times Cited: 142
Comprehensive characterization of single-cell full-length isoforms in human and mouse with long-read sequencing
Luyi Tian, Jafar S. Jabbari, Rachel Thijssen, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 142
Modeling gene regulatory networks using neural network architectures
Hantao Shu, Jingtian Zhou, Qiuyu Lian, et al.
Nature Computational Science (2021) Vol. 1, Iss. 7, pp. 491-501
Closed Access | Times Cited: 119
The Specious Art of Single-Cell Genomics
Tara Chari, Lior Pachter
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 118
Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE
Yupei You, Yair D. J. Prawer, Ricardo De Paoli‐Iseppi, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 106
A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples
Wenpin Hou, Zhicheng Ji, Zeyu Chen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 44
Systematic comparison of sequencing-based spatial transcriptomic methods
Yue You, Yuting Fu, Lanxiang Li, et al.
Nature Methods (2024) Vol. 21, Iss. 9, pp. 1743-1754
Open Access | Times Cited: 44
scIGANs: single-cell RNA-seq imputation using generative adversarial networks
Yungang Xu, Zhigang Zhang, Lei You, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. 15, pp. e85-e85
Open Access | Times Cited: 138
MARS: discovering novel cell types across heterogeneous single-cell experiments
Maria Brbić, Marinka Žitnik, Sheng Wang, et al.
Nature Methods (2020) Vol. 17, Iss. 12, pp. 1200-1206
Open Access | Times Cited: 133
Single-cell RNA-seq analysis identifies meniscus progenitors and reveals the progression of meniscus degeneration
Hao Sun, Xingzhao Wen, Hongyi Li, et al.
Annals of the Rheumatic Diseases (2019) Vol. 79, Iss. 3, pp. 408-417
Open Access | Times Cited: 110
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: 92
A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples
Wanqiu Chen, Yongmei Zhao, Xin Chen, et al.
Nature Biotechnology (2020) Vol. 39, Iss. 9, pp. 1103-1114
Open Access | Times Cited: 87
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