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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:

Three-dimensional intact-tissue sequencing of single-cell transcriptional states
Xiao Wang, William E. Allen, Matthew A. Wright, et al.
Science (2018) Vol. 361, Iss. 6400
Open Access | Times Cited: 1255

Showing 1-25 of 1255 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: 12690
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: 1542
Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+
Chee-Huat Linus Eng, Michael J. Lawson, Qian Zhu, et al.
Nature (2019) Vol. 568, Iss. 7751, pp. 235-239
Open Access | Times Cited: 1357
A molecular cell atlas of the human lung from single-cell RNA sequencing
Kyle J. Travaglini, Ahmad N. Nabhan, Lolita Penland, et al.
Nature (2020) Vol. 587, Iss. 7835, pp. 619-625
Open Access | Times Cited: 1342
Integrative single-cell analysis
Tim Stuart, Rahul Satija
Nature Reviews Genetics (2019) Vol. 20, Iss. 5, pp. 257-272
Closed Access | Times Cited: 1137
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
Jeffrey R. Moffitt, Dhananjay Bambah-Mukku, Stephen W. Eichhorn, et al.
Science (2018) Vol. 362, Iss. 6416
Open Access | Times Cited: 1081
Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity
Joshua D. Welch, Velina Kozareva, Ashley N. Ferreira, et al.
Cell (2019) Vol. 177, Iss. 7, pp. 1873-1887.e17
Open Access | Times Cited: 1059
Microglia Biology: One Century of Evolving Concepts
Marco Prinz, Steffen Jung, Josef Priller
Cell (2019) Vol. 179, Iss. 2, pp. 292-311
Open Access | Times Cited: 1047
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: 1038
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: 1025
High-definition spatial transcriptomics for in situ tissue profiling
Sanja Vicković, Gökçen Eraslan, Fredrik Salmén, et al.
Nature Methods (2019) Vol. 16, Iss. 10, pp. 987-990
Open Access | Times Cited: 927
Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2
Robert R. Stickels, Evan Murray, Pawan Kumar, et al.
Nature Biotechnology (2020) Vol. 39, Iss. 3, pp. 313-319
Open Access | Times Cited: 890
Museum of spatial transcriptomics
Lambda Moses, Lior Pachter
Nature Methods (2022) Vol. 19, Iss. 5, pp. 534-546
Open Access | Times Cited: 701
Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front
Christian M. Schürch, Salil S. Bhate, Graham L. Barlow, et al.
Cell (2020) Vol. 182, Iss. 5, pp. 1341-1359.e19
Open Access | Times Cited: 698
Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Sophia K. Longo, Margaret Guo, Andrew L. Ji, et al.
Nature Reviews Genetics (2021) Vol. 22, Iss. 10, pp. 627-644
Open Access | Times Cited: 663
High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue
Yang Liu, Mingyu Yang, Yanxiang Deng, et al.
Cell (2020) Vol. 183, Iss. 6, pp. 1665-1681.e18
Open Access | Times Cited: 647
Astrocyte Crosstalk in CNS Inflammation
Mathias Linnerbauer, Michael A. Wheeler, Francisco J. Quintana
Neuron (2020) Vol. 108, Iss. 4, pp. 608-622
Open Access | Times Cited: 646
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
Ruben Dries, Qian Zhu, Rui Dong, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 629
Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression
Chenglong Xia, Jean Fan, George Emanuel, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 39, pp. 19490-19499
Open Access | Times Cited: 626
A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
Michaela Asp, Stefania Giacomello, Ludvig Larsson, et al.
Cell (2019) Vol. 179, Iss. 7, pp. 1647-1660.e19
Open Access | Times Cited: 625
Visualizing and discovering cellular structures with super-resolution microscopy
Yaron M. Sigal, Ruobo Zhou, Xiaowei Zhuang
Science (2018) Vol. 361, Iss. 6405, pp. 880-887
Open Access | Times Cited: 606
Single-Cell Analysis Reveals Fibroblast Clusters Linked to Immunotherapy Resistance in Cancer
Yann Kieffer, Hocine R. Hocine, Géraldine Gentric, et al.
Cancer Discovery (2020) Vol. 10, Iss. 9, pp. 1330-1351
Open Access | Times Cited: 599
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Jian Hu, Xiangjie Li, Kyle Coleman, et al.
Nature Methods (2021) Vol. 18, Iss. 11, pp. 1342-1351
Open Access | Times Cited: 594
Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
Noah F. Greenwald, Geneva Miller, Erick Moen, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 4, pp. 555-565
Open Access | Times Cited: 584
Activity-Regulated Transcription: Bridging the Gap between Neural Activity and Behavior
Ee-Lynn Yap, Michael E. Greenberg
Neuron (2018) Vol. 100, Iss. 2, pp. 330-348
Open Access | Times Cited: 548
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