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 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

Showing 1-25 of 422 citing articles:

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

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: 985

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: 959

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: 872

Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity
Peter van Galen, Volker Hovestadt, Marc H. Wadsworth, et al.
Cell (2019) Vol. 176, Iss. 6, pp. 1265-1281.e24
Open Access | Times Cited: 841

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: 506

Clinical epigenetics: seizing opportunities for translation
María Berdasco, Manel Esteller
Nature Reviews Genetics (2018) Vol. 20, Iss. 2, pp. 109-127
Closed Access | Times Cited: 425

Non-genetic mechanisms of therapeutic resistance in cancer
Jean‐Christophe Marine, Sarah‐Jane Dawson, Mark A. Dawson
Nature reviews. Cancer (2020) Vol. 20, Iss. 12, pp. 743-756
Closed Access | Times Cited: 417

Single-Cell RNA Sequencing in Cancer: Lessons Learned and Emerging Challenges
Mario L. Suvà, Itay Tirosh
Molecular Cell (2019) Vol. 75, Iss. 1, pp. 7-12
Open Access | Times Cited: 384

Single-cell epigenomics: Recording the past and predicting the future
Gavin Kelsey, Oliver Stegle, Wolf Reik
Science (2017) Vol. 358, Iss. 6359, pp. 69-75
Closed Access | Times Cited: 375

Single-cell RNA sequencing: Technical advancements and biological applications
Eva Hedlund, Qiaolin Deng
Molecular Aspects of Medicine (2017) Vol. 59, pp. 36-46
Closed Access | Times Cited: 313

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

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
Marinka Żitnik, Francis Nguyen, Bo Wang, et al.
Information Fusion (2018) Vol. 50, pp. 71-91
Open Access | Times Cited: 286

Tracking cancer progression: from circulating tumor cells to metastasis
Francesc Castro-Giner, Nicola Aceto
Genome Medicine (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 276

Polyploidy, the Nucleotype, and Novelty: The Impact of Genome Doubling on the Biology of the Cell
Jeff J. Doyle, Jeremy E. Coate
International Journal of Plant Sciences (2018) Vol. 180, Iss. 1, pp. 1-52
Open Access | Times Cited: 268

The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas
Joseph R. Ecker, Daniel H. Geschwind, Arnold R. Kriegstein, et al.
Neuron (2017) Vol. 96, Iss. 3, pp. 542-557
Open Access | Times Cited: 266

State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing
Michał Krassowski, Vivek Das, S. Sahu, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 256

Machine and deep learning meet genome-scale metabolic modeling
Guido Zampieri, Supreeta Vijayakumar, Elisabeth Yaneske, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1007084-e1007084
Open Access | Times Cited: 246

Global Observing Needs in the Deep Ocean
Lisa A. Levin, Brian J. Bett, Andrew R. Gates, et al.
Frontiers in Marine Science (2019) Vol. 6
Open Access | Times Cited: 244

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: 238

Patch-Seq Links Single-Cell Transcriptomes to Human Islet Dysfunction in Diabetes
Joan Camuñas-Soler, Xiao-Qing Dai, Yan Hang, et al.
Cell Metabolism (2020) Vol. 31, Iss. 5, pp. 1017-1031.e4
Open Access | Times Cited: 226

Mapping gene regulatory networks from single-cell omics data
Mark Fiers, Liesbeth Minnoye, Sara Aibar, et al.
Briefings in Functional Genomics (2017) Vol. 17, Iss. 4, pp. 246-254
Open Access | Times Cited: 215

Single cells make big data: New challenges and opportunities in transcriptomics
Philipp Angerer, Lukas M. Simon, Sophie Tritschler, et al.
Current Opinion in Systems Biology (2017) Vol. 4, pp. 85-91
Open Access | Times Cited: 214

KDM5 Histone Demethylase Activity Links Cellular Transcriptomic Heterogeneity to Therapeutic Resistance
Kunihiko Hinohara, Hua‐Jun Wu, Sébastien Vigneau, et al.
Cancer Cell (2018) Vol. 34, Iss. 6, pp. 939-953.e9
Open Access | Times Cited: 213

Tumor Cell Invasion in Glioblastoma
Arabel Vollmann‐Zwerenz, Verena Leidgens, Giancarlo Feliciello, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 6, pp. 1932-1932
Open Access | Times Cited: 208

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