Open Access Helper

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:

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 26-50 of 1332 citing articles:

Molecular topography of an entire nervous system
Seth R. Taylor, Gabriel Santpere, Alexis Weinreb, et al.
Cell (2021) Vol. 184, Iss. 16, pp. 4329-4347.e23
Open Access | Times Cited: 559
T cell subsets and functions in atherosclerosis
Ryosuke Saigusa, Holger Winkels, Klaus Ley
Nature Reviews Cardiology (2020) Vol. 17, Iss. 7, pp. 387-401
Open Access | Times Cited: 542
Tumour heterogeneity and metastasis at single-cell resolution
Devon A. Lawson, Kai Kessenbrock, Ryan T. Davis, et al.
Nature Cell Biology (2018) Vol. 20, Iss. 12, pp. 1349-1360
Open Access | Times Cited: 539
A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution
Jonathan S. Packer, Qin Zhu, Chau Huynh, et al.
Science (2019) Vol. 365, Iss. 6459
Open Access | Times Cited: 507
Lineage tracing meets single-cell omics: opportunities and challenges
Daniel E. Wagner, Allon M. Klein
Nature Reviews Genetics (2020) Vol. 21, Iss. 7, pp. 410-427
Open Access | Times Cited: 502
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 497
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics
Mireya Plass, Jordi Solana, F. Alexander Wolf, et al.
Science (2018) Vol. 360, Iss. 6391
Open Access | Times Cited: 465
Genetic Dissection of Neural Circuits: A Decade of Progress
Liqun Luo, Edward M. Callaway, Karel Svoboda
Neuron (2018) Vol. 98, Iss. 2, pp. 256-281
Open Access | Times Cited: 449
Supervised classification enables rapid annotation of cell atlases
Hannah A. Pliner, Jay Shendure, Cole Trapnell
Nature Methods (2019) Vol. 16, Iss. 10, pp. 983-986
Open Access | Times Cited: 432
RNA sequencing: new technologies and applications in cancer research
Mingye Hong, Shuang Tao, Ling Zhang, et al.
Journal of Hematology & Oncology (2020) Vol. 13, Iss. 1
Open Access | Times Cited: 422
Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
Elisabetta Mereu, Atefeh Lafzi, Cátia Moutinho, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 6, pp. 747-755
Open Access | Times Cited: 421
Cell type transcriptome atlas for the planarian Schmidtea mediterranea
Christopher T. Fincher, Omri Wurtzel, Thom de Hoog, et al.
Science (2018) Vol. 360, Iss. 6391
Open Access | Times Cited: 418
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: 407
Clinical implications of intratumor heterogeneity: challenges and opportunities
Santiago Ramón y Cajal, Marta Sesé, Claudia Capdevila, et al.
Journal of Molecular Medicine (2020) Vol. 98, Iss. 2, pp. 161-177
Open Access | Times Cited: 389
The cis-regulatory dynamics of embryonic development at single-cell resolution
Darren A. Cusanovich, James P. Reddington, David Garfield, et al.
Nature (2018) Vol. 555, Iss. 7697, pp. 538-542
Open Access | Times Cited: 360
A human cell atlas of fetal chromatin accessibility
Silvia Domcke, Andrew J. Hill, Riza M. Daza, et al.
Science (2020) Vol. 370, Iss. 6518
Open Access | Times Cited: 360
Single-Cell Transcriptomics Meets Lineage Tracing
Lennart Kester, Alexander van Oudenaarden
Cell stem cell (2018) Vol. 23, Iss. 2, pp. 166-179
Open Access | Times Cited: 348
Dynamics of Gene Expression in Single Root Cells of Arabidopsis thaliana
Ken Jean-Baptiste, José L. McFaline‐Figueroa, Cristina M. Alexandre, et al.
The Plant Cell (2019) Vol. 31, Iss. 5, pp. 993-1011
Open Access | Times Cited: 346
Cnidarian Cell Type Diversity and Regulation Revealed by Whole-Organism Single-Cell RNA-Seq
Arnau Sebé-Pedrós, Baptiste Saudemont, Elad Chomsky, et al.
Cell (2018) Vol. 173, Iss. 6, pp. 1520-1534.e20
Open Access | Times Cited: 341
Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
Jiarui Ding, Anne Condon, Sohrab P. Shah
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 336
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
M Snyder, Shin Lin, Amanda L. Posgai, et al.
Nature (2019) Vol. 574, Iss. 7777, pp. 187-192
Open Access | Times Cited: 327
MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions
Yael Baran, Akhiad Bercovich, Arnau Sebé-Pedrós, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 318
SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species
Yuqi Tan, Patrick Cahan
Cell Systems (2019) Vol. 9, Iss. 2, pp. 207-213.e2
Open Access | Times Cited: 308
An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome
Chenxu Zhu, Miao Yu, Hui Huang, et al.
Nature Structural & Molecular Biology (2019) Vol. 26, Iss. 11, pp. 1063-1070
Open Access | Times Cited: 304
Clustering single-cell RNA-seq data with a model-based deep learning approach
Tian Tian, Ji Wan, Qi Song, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 4, pp. 191-198
Closed Access | Times Cited: 298

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