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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:

Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
Sai Ma, Bing Zhang, Lindsay M. LaFave, et al.
Cell (2020) Vol. 183, Iss. 4, pp. 1103-1116.e20
Open Access | Times Cited: 808

Showing 1-25 of 808 citing articles:

Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen, et al.
Cell (2021) Vol. 184, Iss. 13, pp. 3573-3587.e29
Open Access | Times Cited: 9533
Dictionary learning for integrative, multimodal and scalable single-cell analysis
Yuhan Hao, Tim Stuart, Madeline H. Kowalski, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 2, pp. 293-304
Open Access | Times Cited: 1031
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: 976
Microglia states and nomenclature: A field at its crossroads
Rosa Chiara Paolicelli, Amanda Sierra, Beth Stevens, et al.
Neuron (2022) Vol. 110, Iss. 21, pp. 3458-3483
Open Access | Times Cited: 934
Methods and applications for single-cell and spatial multi-omics
Katy Vandereyken, Alejandro Sifrim, Bernard Thienpont, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 494-515
Open Access | Times Cited: 525
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
Tommaso Biancalani, Gabriele Scalia, Lorenzo Buffoni, et al.
Nature Methods (2021) Vol. 18, Iss. 11, pp. 1352-1362
Open Access | Times Cited: 472
Differential abundance testing on single-cell data using k-nearest neighbor graphs
Emma Dann, Neil C. Henderson, Sarah A. Teichmann, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 2, pp. 245-253
Open Access | Times Cited: 436
The technological landscape and applications of single-cell multi-omics
Alev Baysoy, Zhiliang Bai, Rahul Satija, et al.
Nature Reviews Molecular Cell Biology (2023) Vol. 24, Iss. 10, pp. 695-713
Open Access | Times Cited: 365
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
Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution
Alexandro E. Trevino, Fabian Müller, Jimena Andersen, et al.
Cell (2021) Vol. 184, Iss. 19, pp. 5053-5069.e23
Open Access | Times Cited: 314
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
Molecular logic of cellular diversification in the mouse cerebral cortex
Daniela J. Di Bella, Ehsan Habibi, Robert R. Stickels, et al.
Nature (2021) Vol. 595, Iss. 7868, pp. 554-559
Open Access | Times Cited: 307
Mapping transcriptomic vector fields of single cells
Xiaojie Qiu, Yan Zhang, Jorge D. Martin-Rufino, et al.
Cell (2022) Vol. 185, Iss. 4, pp. 690-711.e45
Open Access | Times Cited: 281
Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
Zhi-Jie Cao, Ge Gao
Nature Biotechnology (2022) Vol. 40, Iss. 10, pp. 1458-1466
Open Access | Times Cited: 276
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: 268
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
Where Are the Disease-Associated eQTLs?
Benjamin D. Umans, Alexis Battle, Yoav Gilad
Trends in Genetics (2020) Vol. 37, Iss. 2, pp. 109-124
Open Access | Times Cited: 239
New opportunities and challenges of natural products research: When target identification meets single-cell multiomics
Yuyu Zhu, Z. W. Ouyang, Haojie Du, et al.
Acta Pharmaceutica Sinica B (2022) Vol. 12, Iss. 11, pp. 4011-4039
Open Access | Times Cited: 232
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
Carmen Bravo González‐Blas, Seppe De Winter, Gert Hulselmans, et al.
Nature Methods (2023) Vol. 20, Iss. 9, pp. 1355-1367
Open Access | Times Cited: 232
Cis-regulatory sequences in plants: Their importance, discovery, and future challenges
Robert J. Schmitz, Erich Grotewold, Maike Stam
The Plant Cell (2021) Vol. 34, Iss. 2, pp. 718-741
Open Access | Times Cited: 209
Spatial-CUT&Tag: Spatially resolved chromatin modification profiling at the cellular level
Yanxiang Deng, Marek Bartošovič, Petra Kukanja, et al.
Science (2022) Vol. 375, Iss. 6581, pp. 681-686
Open Access | Times Cited: 205
RNA velocity—current challenges and future perspectives
Volker Bergen, Ruslan A. Soldatov, Peter V. Kharchenko, et al.
Molecular Systems Biology (2021) Vol. 17, Iss. 8
Open Access | Times Cited: 198
Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution
Dian Yang, Matthew G. Jones, Santiago Naranjo, et al.
Cell (2022) Vol. 185, Iss. 11, pp. 1905-1923.e25
Open Access | Times Cited: 198
Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq
Elliott Swanson, Cara Lord, Julian Reading, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 188
Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender
Stephen J. Fleming, Mark Chaffin, Alessandro Arduini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 186
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