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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:

Single-cell barcoding and sequencing using droplet microfluidics
Rapolas Žilionis, Juozas Nainys, Adrian Veres, et al.
Nature Protocols (2016) Vol. 12, Iss. 1, pp. 44-73
Closed Access | Times Cited: 689

Showing 1-25 of 689 citing articles:

Integrating single-cell transcriptomic data across different conditions, technologies, and species
Andrew Butler, Paul Hoffman, Peter Smibert, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 5, pp. 411-420
Open Access | Times Cited: 10774
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Elham Azizi, Ambrose Carr, George Plitas, et al.
Cell (2018) Vol. 174, Iss. 5, pp. 1293-1308.e36
Open Access | Times Cited: 1614
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
David van Dijk, Roshan Sharma, Juozas Nainys, et al.
Cell (2018) Vol. 174, Iss. 3, pp. 716-729.e27
Open Access | Times Cited: 1443
Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Species
Rapolas Žilionis, Camilla Engblom, Christina Pfirschke, et al.
Immunity (2019) Vol. 50, Iss. 5, pp. 1317-1334.e10
Open Access | Times Cited: 1137
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: 990
SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data
Matthew D. Young, Sam Behjati
GigaScience (2020) Vol. 9, Iss. 12
Open Access | Times Cited: 977
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
Hyun Min Kang, Meena Subramaniam, Sasha Targ, et al.
Nature Biotechnology (2017) Vol. 36, Iss. 1, pp. 89-94
Open Access | Times Cited: 959
A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte
Lindsey W. Plasschaert, Rapolas Žilionis, Rayman Choo-Wing, et al.
Nature (2018) Vol. 560, Iss. 7718, pp. 377-381
Open Access | Times Cited: 912
Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo
Daniel E. Wagner, Caleb Weinreb, Zach M. Collins, et al.
Science (2018) Vol. 360, Iss. 6392, pp. 981-987
Open Access | Times Cited: 776
An accurate and robust imputation method scImpute for single-cell RNA-seq data
Wei Vivian Li, Jingyi Jessica Li
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 633
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: 555
Clonal analysis of lineage fate in native haematopoiesis
Alejo Rodriguez-Fraticelli, Samuel L. Wolock, Caleb Weinreb, et al.
Nature (2018) Vol. 553, Iss. 7687, pp. 212-216
Open Access | Times Cited: 490
Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex
Siniša Hrvatin, Daniel R. Hochbaum, M. Aurel Nagy, et al.
Nature Neuroscience (2017) Vol. 21, Iss. 1, pp. 120-129
Open Access | Times Cited: 470
IRF3 and type I interferons fuel a fatal response to myocardial infarction
Kevin R. King, Aaron D. Aguirre, Yuxiang Ye, et al.
Nature Medicine (2017) Vol. 23, Iss. 12, pp. 1481-1487
Open Access | Times Cited: 453
Charting cellular identity during human in vitro β-cell differentiation
Adrian Veres, Aubrey L. Faust, Henry L. Bushnell, et al.
Nature (2019) Vol. 569, Iss. 7756, pp. 368-373
Open Access | Times Cited: 440
Single-Cell Multiomics: Multiple Measurements from Single Cells
Iain C. Macaulay, Chris P. Ponting, Thierry Voet
Trends in Genetics (2017) Vol. 33, Iss. 2, pp. 155-168
Open Access | Times Cited: 422
High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer
Kevin Grosselin, Adeline Durand, Justine Marsolier, et al.
Nature Genetics (2019) Vol. 51, Iss. 6, pp. 1060-1066
Closed Access | Times Cited: 400
Regenerative lineages and immune-mediated pruning in lung cancer metastasis
Ashley M. Laughney, Jing Hu, Nathaniel R. Campbell, et al.
Nature Medicine (2020) Vol. 26, Iss. 2, pp. 259-269
Open Access | Times Cited: 353
High-plex imaging of RNA and proteins at subcellular resolution in fixed tissue by spatial molecular imaging
Shanshan He, Ruchir Bhatt, Carl Brown, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 12, pp. 1794-1806
Closed Access | Times Cited: 349
Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR
David Zemmour, Rapolas Žilionis, Evgeny Kiner, et al.
Nature Immunology (2018) Vol. 19, Iss. 3, pp. 291-301
Open Access | Times Cited: 348
Population snapshots predict early haematopoietic and erythroid hierarchies
Betsabeh Khoramian Tusi, Samuel L. Wolock, Caleb Weinreb, et al.
Nature (2018) Vol. 555, Iss. 7694, pp. 54-60
Open Access | Times Cited: 340
Comparative Analysis of Droplet-Based Ultra-High-Throughput Single-Cell RNA-Seq Systems
Xiannian Zhang, Tianqi Li, Feng Liu, et al.
Molecular Cell (2018) Vol. 73, Iss. 1, pp. 130-142.e5
Open Access | Times Cited: 333
zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs
Swati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
GigaScience (2018) Vol. 7, Iss. 6
Open Access | Times Cited: 333
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: 312
A comprehensive single cell transcriptional landscape of human hematopoietic progenitors
Danilo Pellin, Mariana Loperfido, Cristina Baricordi, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 304
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