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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:

Revealing the vectors of cellular identity with single-cell genomics
Allon Wagner, Aviv Regev, Nir Yosef
Nature Biotechnology (2016) Vol. 34, Iss. 11, pp. 1145-1160
Open Access | Times Cited: 624

Showing 1-25 of 624 citing articles:

SCANPY: large-scale single-cell gene expression data analysis
F. Alexander Wolf, Philipp Angerer, Fabian J. Theis
Genome biology (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 6138
SCENIC: single-cell regulatory network inference and clustering
Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman, et al.
Nature Methods (2017) Vol. 14, Iss. 11, pp. 1083-1086
Open Access | Times Cited: 4434
Determining cell type abundance and expression from bulk tissues with digital cytometry
Aaron M. Newman, Chloé B. Steen, Chih Long Liu, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 7, pp. 773-782
Open Access | Times Cited: 3325
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
Kelly Street, Davide Risso, Russell B. Fletcher, et al.
BMC Genomics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 2274
Deep generative modeling for single-cell transcriptomics
Romain Lopez, Jeffrey Regier, Michael B. Cole, et al.
Nature Methods (2018) Vol. 15, Iss. 12, pp. 1053-1058
Open Access | Times Cited: 1793
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Malte D. Luecken, Fabian J. Theis
Molecular Systems Biology (2019) Vol. 15, Iss. 6
Open Access | Times Cited: 1724
The Human Cell Atlas
Aviv Regev, Sarah A. Teichmann, Eric S. Lander, et al.
eLife (2017) Vol. 6
Open Access | Times Cited: 1552
Comparative Analysis of Single-Cell RNA Sequencing Methods
Christoph Ziegenhain, Beate Vieth, Swati Parekh, et al.
Molecular Cell (2017) Vol. 65, Iss. 4, pp. 631-643.e4
Open Access | Times Cited: 1342
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf, Fiona Hamey, Mireya Plass, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 1325
Massively parallel single-nucleus RNA-seq with DroNc-seq
Naomi Habib, Inbal Avraham‐Davidi, Anindita Basu, et al.
Nature Methods (2017) Vol. 14, Iss. 10, pp. 955-958
Open Access | Times Cited: 1042
A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
Ashraful Haque, Jessica A. Engel, Sarah A. Teichmann, et al.
Genome Medicine (2017) Vol. 9, Iss. 1
Open Access | Times Cited: 901
Neuronal cell-type classification: challenges, opportunities and the path forward
Hongkui Zeng, Joshua R. Sanes
Nature reviews. Neuroscience (2017) Vol. 18, Iss. 9, pp. 530-546
Closed Access | Times Cited: 823
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis
Jeffrey A. Farrell, Yiqun Wang, Samantha J. Riesenfeld, et al.
Science (2018) Vol. 360, Iss. 6392
Open Access | Times Cited: 797
Scaling single-cell genomics from phenomenology to mechanism
Amos Tanay, Aviv Regev
Nature (2017) Vol. 541, Iss. 7637, pp. 331-338
Open Access | Times Cited: 763
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte, et al.
IEEE Access (2020) Vol. 8, pp. 42200-42216
Open Access | Times Cited: 752
Robust decomposition of cell type mixtures in spatial transcriptomics
Dylan Cable, Evan Murray, Luli S. Zou, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 4, pp. 517-526
Open Access | Times Cited: 724
scmap: projection of single-cell RNA-seq data across data sets
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg
Nature Methods (2018) Vol. 15, Iss. 5, pp. 359-362
Open Access | Times Cited: 656
Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
Aditya Pratapa, Amogh P. Jalihal, Jeffrey Law, et al.
Nature Methods (2020) Vol. 17, Iss. 2, pp. 147-154
Open Access | Times Cited: 574
Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
Bushra Raj, Daniel E. Wagner, Aaron McKenna, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 5, pp. 442-450
Open Access | Times Cited: 571
The neuropeptide NMU amplifies ILC2-driven allergic lung inflammation
Antonia Wallrapp, Samantha J. Riesenfeld, Patrick R. Burkett, et al.
Nature (2017) Vol. 549, Iss. 7672, pp. 351-356
Open Access | Times Cited: 560
Tumour heterogeneity and metastasis at single-cell resolution
Devon A. Lawson, Kai Kessenbrock, Ryan T. Davis, et al.
Nature Cell Biology (2018) Vol. 20, Iss. 12, pp. 1349-1360
Open Access | Times Cited: 532
Single-cell transcriptomics to explore the immune system in health and disease
Michael J. T. Stubbington, Orit Rozenblatt–Rosen, Aviv Regev, et al.
Science (2017) Vol. 358, Iss. 6359, pp. 58-63
Open Access | Times Cited: 508
Lineage tracing meets single-cell omics: opportunities and challenges
Daniel E. Wagner, Allon M. Klein
Nature Reviews Genetics (2020) Vol. 21, Iss. 7, pp. 410-427
Open Access | Times Cited: 498
Single-Cell RNA Sequencing Resolves Molecular Relationships Among Individual Plant Cells
Kook Hui Ryu, Ling Huang, Hyun Min Kang, et al.
PLANT PHYSIOLOGY (2019) Vol. 179, Iss. 4, pp. 1444-1456
Open Access | Times Cited: 451
A Python library for probabilistic analysis of single-cell omics data
Adam Gayoso, Romain Lopez, Galen Xing, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 2, pp. 163-166
Open Access | Times Cited: 432
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