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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:

Integrative single-cell analysis
Tim Stuart, Rahul Satija
Nature Reviews Genetics (2019) Vol. 20, Iss. 5, pp. 257-272
Closed Access | Times Cited: 1144

Showing 1-25 of 1144 citing articles:

Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman, et al.
Cell (2019) Vol. 177, Iss. 7, pp. 1888-1902.e21
Open Access | Times Cited: 12730
Inference and analysis of cell-cell communication using CellChat
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 4457
Tumor microenvironment as a therapeutic target in cancer
Yi Xiao, Dihua Yu
Pharmacology & Therapeutics (2020) Vol. 221, pp. 107753-107753
Open Access | Times Cited: 1198
Single-cell chromatin state analysis with Signac
Tim Stuart, Avi Srivastava, Shaista Madad, et al.
Nature Methods (2021) Vol. 18, Iss. 11, pp. 1333-1341
Open Access | Times Cited: 1059
mRNAs, proteins and the emerging principles of gene expression control
Christopher Buccitelli, Matthias Selbach
Nature Reviews Genetics (2020) Vol. 21, Iss. 10, pp. 630-644
Closed Access | Times Cited: 909
Bayesian statistics and modelling
Rens van de Schoot, Sarah Depaoli, Ruth King, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Closed Access | Times Cited: 747
scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Lihua Zhang, Qing Nie
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 654
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Ricard Argelaguet, Damien Arnol, Danila Bredikhin, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 536
Best practices for single-cell analysis across modalities
Lukas Heumos, Anna C. Schaar, Christopher Lance, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 550-572
Open Access | Times Cited: 496
The pathogenesis of rheumatoid arthritis
Stefano Alivernini, Gary S. Firestein, Iain B. McInnes
Immunity (2022) Vol. 55, Iss. 12, pp. 2255-2270
Closed Access | Times Cited: 458
Epigenetics and epigenomics in diabetic kidney disease and metabolic memory
Mitsuo Kato, Rama Natarajan
Nature Reviews Nephrology (2019) Vol. 15, Iss. 6, pp. 327-345
Open Access | Times Cited: 440
Spatial omics and multiplexed imaging to explore cancer biology
Sabrina M. Lewis, Marie-Liesse Asselin-Labat, Quan Nguyen, et al.
Nature Methods (2021) Vol. 18, Iss. 9, pp. 997-1012
Closed Access | Times Cited: 428
Rapid non-uniform adaptation to conformation-specific KRAS(G12C) inhibition
Jenny Y. Xue, Yulei Zhao, Jordan Aronowitz, et al.
Nature (2020) Vol. 577, Iss. 7790, pp. 421-425
Open Access | Times Cited: 427
Coupled scRNA-Seq and Intracellular Protein Activity Reveal an Immunosuppressive Role of TREM2 in Cancer
Yonatan Katzenelenbogen, Fadi Sheban, Adam Yalin, et al.
Cell (2020) Vol. 182, Iss. 4, pp. 872-885.e19
Open Access | Times Cited: 384
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: 364
High-content CRISPR screening
Christoph Bock, Paul Datlinger, Florence M. Chardon, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 361
Multimodal mapping of the tumor and peripheral blood immune landscape in human pancreatic cancer
Nina G. Steele, Eileen S. Carpenter, Samantha B. Kemp, et al.
Nature Cancer (2020) Vol. 1, Iss. 11, pp. 1097-1112
Open Access | Times Cited: 353
Single-cell multimodal omics: the power of many
Chenxu Zhu, Sebastian Preißl, Bing Ren
Nature Methods (2020) Vol. 17, Iss. 1, pp. 11-14
Closed Access | Times Cited: 349
CRISPR technologies for precise epigenome editing
Muneaki Nakamura, Yuchen Gao, Antonia A. Dominguez, et al.
Nature Cell Biology (2021) Vol. 23, Iss. 1, pp. 11-22
Closed Access | Times Cited: 348
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq
Joseph M. Replogle, Reuben A. Saunders, Angela N. Pogson, et al.
Cell (2022) Vol. 185, Iss. 14, pp. 2559-2575.e28
Open Access | Times Cited: 344
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: 324
Harnessing multimodal data integration to advance precision oncology
Kevin M. Boehm, Pegah Khosravi, R. Vanguri, et al.
Nature reviews. Cancer (2021) Vol. 22, Iss. 2, pp. 114-126
Open Access | Times Cited: 321
Single-Cell Analysis of the Muscle Stem Cell Hierarchy Identifies Heterotypic Communication Signals Involved in Skeletal Muscle Regeneration
Andrea J. De Micheli, Emily J. Laurilliard, Charles L. Heinke, et al.
Cell Reports (2020) Vol. 30, Iss. 10, pp. 3583-3595.e5
Open Access | Times Cited: 313
Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender
Stephen J. Fleming, Mark Chaffin, Alessandro Arduini, et al.
Nature Methods (2023) Vol. 20, Iss. 9, pp. 1323-1335
Open Access | Times Cited: 310
Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics
Anna S. Nam, Ronan Chaligné, Dan A. Landau
Nature Reviews Genetics (2020) Vol. 22, Iss. 1, pp. 3-18
Open Access | Times Cited: 307
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