OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comprehensive single-cell transcriptional profiling of a multicellular organism
Junyue Cao, Jonathan S. Packer, Vijay Ramani, et al.
Science (2017) Vol. 357, Iss. 6352, pp. 661-667
Open Access | Times Cited: 1332

Showing 1-25 of 1332 citing articles:

The single-cell transcriptional landscape of mammalian organogenesis
Junyue Cao, Malte Spielmann, Xiaojie Qiu, et al.
Nature (2019) Vol. 566, Iss. 7745, pp. 496-502
Open Access | Times Cited: 3353

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: 3349

DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors
Christopher S. McGinnis, Lyndsay M. Murrow, Zev J. Gartner
Cell Systems (2019) Vol. 8, Iss. 4, pp. 329-337.e4
Open Access | Times Cited: 2815

Simultaneous epitope and transcriptome measurement in single cells
Marlon Stoeckius, Christoph Hafemeister, William Stephenson, et al.
Nature Methods (2017) Vol. 14, Iss. 9, pp. 865-868
Open Access | Times Cited: 2676

Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris

Nature (2018) Vol. 562, Iss. 7727, pp. 367-372
Open Access | Times Cited: 2579

Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data
Samuel L. Wolock, Romain Lopez, Allon M. Klein
Cell Systems (2019) Vol. 8, Iss. 4, pp. 281-291.e9
Open Access | Times Cited: 1881

RNA sequencing: the teenage years
Rory Stark, Marta Grzelak, James Hadfield
Nature Reviews Genetics (2019) Vol. 20, Iss. 11, pp. 631-656
Closed Access | Times Cited: 1586

Integrative single-cell analysis
Tim Stuart, Rahul Satija
Nature Reviews Genetics (2019) Vol. 20, Iss. 5, pp. 257-272
Closed Access | Times Cited: 1159

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: 1045

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: 997

Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease
Jihwan Park, Rojesh Shrestha, Chengxiang Qiu, et al.
Science (2018) Vol. 360, Iss. 6390, pp. 758-763
Open Access | Times Cited: 963

Construction of a human cell landscape at single-cell level
Xiaoping Han, Ziming Zhou, Lijiang Fei, et al.
Nature (2020) Vol. 581, Iss. 7808, pp. 303-309
Closed Access | Times Cited: 930

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: 908

Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics
Marlon Stoeckius, Shiwei Zheng, Brian Houck‐Loomis, et al.
Genome biology (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 894

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, et al.
European Journal of Immunology (2019) Vol. 49, Iss. 10, pp. 1457-1973
Open Access | Times Cited: 881

Joint profiling of chromatin accessibility and gene expression in thousands of single cells
Junyue Cao, Darren A. Cusanovich, Vijay Ramani, et al.
Science (2018) Vol. 361, Iss. 6409, pp. 1380-1385
Open Access | Times Cited: 838

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Geng Chen, Baitang Ning, Tieliu Shi
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 827

Systematic comparison of single-cell and single-nucleus RNA-sequencing methods
Jiarui Ding, Xian Adiconis, Sean Simmons, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 6, pp. 737-746
Open Access | Times Cited: 747

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility
Darren A. Cusanovich, Andrew J. Hill, Delasa Aghamirzaie, et al.
Cell (2018) Vol. 174, Iss. 5, pp. 1309-1324.e18
Open Access | Times Cited: 737

Single‐cell RNA sequencing technologies and applications: A brief overview
Dragomirka Jovic, Xue Liang, Zeng Hua, et al.
Clinical and Translational Medicine (2022) Vol. 12, Iss. 3
Open Access | Times Cited: 683

A human cell atlas of fetal gene expression
Junyue Cao, Diana R. O’Day, Hannah A. Pliner, et al.
Science (2020) Vol. 370, Iss. 6518
Open Access | Times Cited: 620

MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
Christopher S. McGinnis, David M. Patterson, Juliane Winkler, et al.
Nature Methods (2019) Vol. 16, Iss. 7, pp. 619-626
Open Access | Times Cited: 577

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: 576

Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly
Hongjie Li, Jasper Janssens, Maxime De Waegeneer, et al.
Science (2022) Vol. 375, Iss. 6584
Open Access | Times Cited: 569

The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution
James Briggs, Caleb Weinreb, Daniel E. Wagner, et al.
Science (2018) Vol. 360, Iss. 6392
Open Access | Times Cited: 568

Page 1 - Next Page

Scroll to top