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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:

Challenges in unsupervised clustering of single-cell RNA-seq data
Vladimir Yu Kiselev, Tallulah Andrews, Martin Hemberg
Nature Reviews Genetics (2019) Vol. 20, Iss. 5, pp. 273-282
Closed Access | Times Cited: 1006

Showing 1-25 of 1006 citing articles:

Exploring tissue architecture using spatial transcriptomics
Anjali Rao, Dalia Barkley, Gustavo S. França, et al.
Nature (2021) Vol. 596, Iss. 7871, pp. 211-220
Open Access | Times Cited: 1061
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: 1037
Clinical and therapeutic relevance of cancer-associated fibroblasts
Yang Chen, Kathleen M. McAndrews, Raghu Kalluri
Nature Reviews Clinical Oncology (2021) Vol. 18, Iss. 12, pp. 792-804
Open Access | Times Cited: 757
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: 731
Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Sophia K. Longo, Margaret Guo, Andrew L. Ji, et al.
Nature Reviews Genetics (2021) Vol. 22, Iss. 10, pp. 627-644
Open Access | Times Cited: 670
Collagen-producing lung cell atlas identifies multiple subsets with distinct localization and relevance to fibrosis
Tatsuya Tsukui, Kai-Hui Sun, J. Wetter, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 501
GSEApy: a comprehensive package for performing gene set enrichment analysis in Python
Zhuoqing Fang, Xinyuan Liu, Gary Peltz
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 494
Differential abundance testing on single-cell data using k-nearest neighbor graphs
Emma Dann, Neil C. Henderson, Sarah A. Teichmann, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 2, pp. 245-253
Open Access | Times Cited: 479
Statistics or biology: the zero-inflation controversy about scRNA-seq data
Ruochen Jiang, Tianyi Sun, Dongyuan Song, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 457
Single-cell multiomics: technologies and data analysis methods
Jeongwoo Lee, Do Young Hyeon, Daehee Hwang
Experimental & Molecular Medicine (2020) Vol. 52, Iss. 9, pp. 1428-1442
Open Access | Times Cited: 428
Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data
Aleksandr Ianevski, Anil K Giri, Tero Aittokallio
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 406
Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling
Allen W. Zhang, Ciara H. O’Flanagan, Elizabeth A. Chavez, et al.
Nature Methods (2019) Vol. 16, Iss. 10, pp. 1007-1015
Open Access | Times Cited: 316
Assessment of computational methods for the analysis of single-cell ATAC-seq data
Huidong Chen, Caleb A. Lareau, Tommaso Andreani, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 303
Genetic mapping of cell type specificity for complex traits
Kyoko Watanabe, Maša Umićević Mirkov, Christiaan de Leeuw, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 293
Direct cell reprogramming: approaches, mechanisms and progress
Haofei Wang, Yuchen Yang, Jiandong Liu, et al.
Nature Reviews Molecular Cell Biology (2021) Vol. 22, Iss. 6, pp. 410-424
Open Access | Times Cited: 289
Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain
Samuel E. Marsh, Alec J. Walker, Tushar Kamath, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 3, pp. 306-316
Open Access | Times Cited: 268
Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data
Duanchen Sun, Xiangnan Guan, Amy E. Moran, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 4, pp. 527-538
Open Access | Times Cited: 266
Single‐cell RNA sequencing in cancer research
Yijie Zhang, Dan Wang, Peng Miao, et al.
Journal of Experimental & Clinical Cancer Research (2021) Vol. 40, Iss. 1
Open Access | Times Cited: 254
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
Tallulah Andrews, Vladimir Yu Kiselev, Davis J. McCarthy, et al.
Nature Protocols (2020) Vol. 16, Iss. 1, pp. 1-9
Closed Access | Times Cited: 250
Single-cell RNA sequencing in cardiovascular development, disease and medicine
David T. Paik, Sang-Kyun Cho, Lei Tian, et al.
Nature Reviews Cardiology (2020) Vol. 17, Iss. 8, pp. 457-473
Open Access | Times Cited: 237
Dissecting cellular crosstalk by sequencing physically interacting cells
Amir Giladi, Merav Cohen, Chiara Medaglia, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 5, pp. 629-637
Closed Access | Times Cited: 235
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: 232
Three-Dimensional Human Alveolar Stem Cell Culture Models Reveal Infection Response to SARS-CoV-2
Jeonghwan Youk, Taewoo Kim, Kelly V. Evans, et al.
Cell stem cell (2020) Vol. 27, Iss. 6, pp. 905-919.e10
Open Access | Times Cited: 225
Seamless integration of image and molecular analysis for spatial transcriptomics workflows
Joseph Bergenstråhle, Ludvig Larsson, Joakim Lundeberg
BMC Genomics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 223
scds: computational annotation of doublets in single-cell RNA sequencing data
Abha Bais, Dennis Kostka
Bioinformatics (2019) Vol. 36, Iss. 4, pp. 1150-1158
Open Access | Times Cited: 213
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