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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:

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: 900

Showing 1-25 of 900 citing articles:

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
Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
Ao Chen, Sha Liao, Mengnan Cheng, et al.
Cell (2022) Vol. 185, Iss. 10, pp. 1777-1792.e21
Open Access | Times Cited: 931
Cell2location maps fine-grained cell types in spatial transcriptomics
Vitalii Kleshchevnikov, Artem Shmatko, Emma Dann, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 5, pp. 661-671
Closed Access | Times Cited: 682
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
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
An introduction to spatial transcriptomics for biomedical research
Cameron G. Williams, Hyun Jae Lee, Takahiro Asatsuma, et al.
Genome Medicine (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 458
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
Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro
Luz García‐Alonso, Louis‐François Handfield, Kenny Roberts, et al.
Nature Genetics (2021) Vol. 53, Iss. 12, pp. 1698-1711
Open Access | Times Cited: 418
High-plex imaging of RNA and proteins at subcellular resolution in fixed tissue by spatial molecular imaging
Shanshan He, Ruchir Bhatt, Carl Brown, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 12, pp. 1794-1806
Closed Access | Times Cited: 394
Microscopic examination of spatial transcriptome using Seq-Scope
Chun‐Seok Cho, Jingyue Xi, Yichen Si, et al.
Cell (2021) Vol. 184, Iss. 13, pp. 3559-3572.e22
Open Access | Times Cited: 379
An atlas of healthy and injured cell states and niches in the human kidney
Blue B. Lake, Rajasree Menon, Seth Winfree, et al.
Nature (2023) Vol. 619, Iss. 7970, pp. 585-594
Open Access | Times Cited: 335
Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder
Kangning Dong, Shihua Zhang
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 333
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: 329
Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease
Tushar Kamath, Abdulraouf Abdulraouf, S.J. Burris, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 5, pp. 588-595
Open Access | Times Cited: 326
The emerging landscape of spatial profiling technologies
Jeffrey R. Moffitt, Emma Lundberg, Holger Heyn
Nature Reviews Genetics (2022) Vol. 23, Iss. 12, pp. 741-759
Closed Access | Times Cited: 275
Spatially informed cell-type deconvolution for spatial transcriptomics
Ying Ma, Xiang Zhou
Nature Biotechnology (2022) Vol. 40, Iss. 9, pp. 1349-1359
Open Access | Times Cited: 273
Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution
Bin Li, Wen Zhang, Chuang Guo, et al.
Nature Methods (2022) Vol. 19, Iss. 6, pp. 662-670
Closed Access | Times Cited: 272
Spatially resolved transcriptomics adds a new dimension to genomics
Ludvig Larsson, Jonas Frisén, Joakim Lundeberg
Nature Methods (2021) Vol. 18, Iss. 1, pp. 15-18
Closed Access | Times Cited: 259
The expanding vistas of spatial transcriptomics
Luyi Tian, Fei Chen, Evan Z. Macosko
Nature Biotechnology (2022) Vol. 41, Iss. 6, pp. 773-782
Closed Access | Times Cited: 255
The dawn of spatial omics
Dario Bressan, Giorgia Battistoni, Gregory J. Hannon
Science (2023) Vol. 381, Iss. 6657
Open Access | Times Cited: 247
Spatial components of molecular tissue biology
Giovanni Palla, David S. Fischer, Aviv Regev, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 3, pp. 308-318
Closed Access | Times Cited: 233
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: 217
Spatial profiling technologies illuminate the tumor microenvironment
Ofer Elhanani, Raz Ben-Uri, Leeat Keren
Cancer Cell (2023) Vol. 41, Iss. 3, pp. 404-420
Open Access | Times Cited: 193
Screening cell–cell communication in spatial transcriptomics via collective optimal transport
Zixuan Cang, Yanxiang Zhao, Axel A. Almet, et al.
Nature Methods (2023) Vol. 20, Iss. 2, pp. 218-228
Open Access | Times Cited: 192
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