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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:

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

Showing 26-50 of 959 citing articles:

A test metric for assessing single-cell RNA-seq batch correction
Maren Büttner, Zhichao Miao, F. Alexander Wolf, et al.
Nature Methods (2018) Vol. 16, Iss. 1, pp. 43-49
Open Access | Times Cited: 371
Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes
Haynes Heaton, Arthur M. Talman, Andrew Knights, et al.
Nature Methods (2020) Vol. 17, Iss. 6, pp. 615-620
Open Access | Times Cited: 349
Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells
Eleni P. Mimitou, Caleb A. Lareau, Kelvin Y. Chen, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 10, pp. 1246-1258
Open Access | Times Cited: 344
Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs
Monique G.P. van der Wijst, Harm Brugge, Dylan H. de Vries, et al.
Nature Genetics (2018) Vol. 50, Iss. 4, pp. 493-497
Open Access | Times Cited: 342
Cycling cancer persister cells arise from lineages with distinct programs
Yaara Oren, Michael Tsabar, Michael S. Cuoco, et al.
Nature (2021) Vol. 596, Iss. 7873, pp. 576-582
Open Access | Times Cited: 334
Transfer learning enables predictions in network biology
Christina V. Theodoris, Ling Xiao, Anant Chopra, et al.
Nature (2023) Vol. 618, Iss. 7965, pp. 616-624
Open Access | Times Cited: 325
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
Computational principles and challenges in single-cell data integration
Ricard Argelaguet, Anna Cuomo, Oliver Stegle, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 10, pp. 1202-1215
Closed Access | Times Cited: 311
Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells
Ishaan Gupta, Paul Collier, Bettina Haase, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 12, pp. 1197-1202
Open Access | Times Cited: 310
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: 307
Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease
Seyhan Yazar, José Alquicira-Hernández, Kristof Wing, et al.
Science (2022) Vol. 376, Iss. 6589
Closed Access | Times Cited: 307
Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis
Xiangjie Li, Kui Wang, Yafei Lyu, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 304
muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
Helena L. Crowell, Charlotte Soneson, Pierre‐Luc Germain, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 304
Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity
Gabriela Sarti Kinker, Alissa C. Greenwald, Rotem Tal, et al.
Nature Genetics (2020) Vol. 52, Iss. 11, pp. 1208-1218
Open Access | Times Cited: 302
Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
Anna Cuomo, Daniel D. Seaton, Davis J. McCarthy, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 296
Single-cell RNA-seq reveals cell type–specific molecular and genetic associations to lupus
Richard K. Perez, M. Grace Gordon, Meena Subramaniam, et al.
Science (2022) Vol. 376, Iss. 6589
Open Access | Times Cited: 287
A clinically applicable integrative molecular classification of meningiomas
Farshad Nassiri, Jeff Liu, Vikas Patil, et al.
Nature (2021) Vol. 597, Iss. 7874, pp. 119-125
Closed Access | Times Cited: 279
Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function
Gökçen Eraslan, Eugene Drokhlyansky, Shankara Anand, et al.
Science (2022) Vol. 376, Iss. 6594
Open Access | Times Cited: 264
Recent Advances in Droplet Microfluidics
Yun Ding, Philip D. Howes, Andrew J. deMello
Analytical Chemistry (2019) Vol. 92, Iss. 1, pp. 132-149
Closed Access | Times Cited: 255
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
David Ahern, Zhichao Ai, Mark Ainsworth, et al.
Cell (2022) Vol. 185, Iss. 5, pp. 916-938.e58
Open Access | Times Cited: 248
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing
Hadas Keren‐Shaul, Ephraim Kenigsberg, Diego Adhemar Jaitin, et al.
Nature Protocols (2019) Vol. 14, Iss. 6, pp. 1841-1862
Closed Access | Times Cited: 247
Single cell transcriptional signatures of the human placenta in term and preterm parturition
Roger Piqué-Regi, Roberto Romero, Adi L. Tarca, et al.
eLife (2019) Vol. 8
Open Access | Times Cited: 242
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: 227
Functional interpretation of single cell similarity maps
David DeTomaso, Matthew G. Jones, Meena Subramaniam, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 220
Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data
Jean Fan, Hae‐Ock Lee, Soohyun Lee, et al.
Genome Research (2018) Vol. 28, Iss. 8, pp. 1217-1227
Open Access | Times Cited: 216

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