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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:

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: 1369

Showing 1-25 of 1369 citing articles:

NicheNet: modeling intercellular communication by linking ligands to target genes
Robin Browaeys, Wouter Saelens, Yvan Saeys
Nature Methods (2019) Vol. 17, Iss. 2, pp. 159-162
Closed Access | Times Cited: 1406
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: 1350
Fibrosis: from mechanisms to medicines
Neil C. Henderson, Florian Rieder, Thomas A. Wynn
Nature (2020) Vol. 587, Iss. 7835, pp. 555-566
Open Access | Times Cited: 1210
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: 1045
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: 1029
Museum of spatial transcriptomics
Lambda Moses, Lior Pachter
Nature Methods (2022) Vol. 19, Iss. 5, pp. 534-546
Open Access | Times Cited: 714
Targeting inflammation in atherosclerosis — from experimental insights to the clinic
Oliver Soehnlein, Peter Libby
Nature Reviews Drug Discovery (2021) Vol. 20, Iss. 8, pp. 589-610
Open Access | Times Cited: 711
Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease
Wei-Ting Chen, Ashley Lu, Katleen Craessaerts, et al.
Cell (2020) Vol. 182, Iss. 4, pp. 976-991.e19
Open Access | Times Cited: 704
Method of the Year: spatially resolved transcriptomics
Vivien Marx
Nature Methods (2021) Vol. 18, Iss. 1, pp. 9-14
Open Access | Times Cited: 679
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: 670
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: 653
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: 652
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: 631
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: 627
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: 626
Squidpy: a scalable framework for spatial omics analysis
Giovanni Palla, Hannah Spitzer, Michal Klein, et al.
Nature Methods (2022) Vol. 19, Iss. 2, pp. 171-178
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
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: 592
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: 590
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: 512
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: 494
Spatially Resolved Transcriptomes—Next Generation Tools for Tissue Exploration
Michaela Asp, Joseph Bergenstråhle, Joakim Lundeberg
BioEssays (2020) Vol. 42, Iss. 10
Open Access | Times Cited: 483
The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
Florent Petitprez, Maxime Meylan, Aurélien de Reyniès, et al.
Frontiers in Immunology (2020) Vol. 11
Open Access | Times Cited: 464
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: 431
Spatial omics and multiplexed imaging to explore cancer biology
Sabrina M. Lewis, Marie-Liesse Asselin-Labat, Quan Nguyen, et al.
Nature Methods (2021) Vol. 18, Iss. 9, pp. 997-1012
Closed Access | Times Cited: 428
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