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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:

SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes
Marc Elosua-Bayés, Paula Nieto, Elisabetta Mereu, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 9, pp. e50-e50
Open Access | Times Cited: 474

Showing 1-25 of 474 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: 959
Museum of spatial transcriptomics
Lambda Moses, Lior Pachter
Nature Methods (2022) Vol. 19, Iss. 5, pp. 534-546
Open Access | Times Cited: 656
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: 631
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: 628
Spatial transcriptomics at subspot resolution with BayesSpace
Edward Zhao, Matthew R. Stone, Xing Ren, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 11, pp. 1375-1384
Open Access | Times Cited: 579
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
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: 421
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: 405
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
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: 303
Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma
Vidhya M. Ravi, Paulina Will, Jan Kueckelhaus, et al.
Cancer Cell (2022) Vol. 40, Iss. 6, pp. 639-655.e13
Open Access | Times Cited: 294
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
Daniel Dimitrov, Dénes Türei, Martín Garrido‐Rodríguez, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 262
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: 255
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: 247
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: 244
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: 217
SpatialDWLS: accurate deconvolution of spatial transcriptomic data
Rui Dong, Guo‐Cheng Yuan
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 216
The landscape of aging
Yusheng Cai, Wei Song, Jiaming Li, et al.
Science China Life Sciences (2022) Vol. 65, Iss. 12, pp. 2354-2454
Open Access | Times Cited: 214
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
Yahui Long, Kok Siong Ang, Mengwei Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 191
Dietary palmitic acid promotes a prometastatic memory via Schwann cells
Gloria Pascual, Diana Domínguez, Marc Elosúa-Bayes, et al.
Nature (2021) Vol. 599, Iss. 7885, pp. 485-490
Closed Access | Times Cited: 185
T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10
Vidhya M. Ravi, Nicolas Neidert, Paulina Will, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 185
Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data
Patrick Danaher, Young‐Mi Kim, Brenn Nelson, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 184
Spatially resolved transcriptomics reveals the architecture of the tumor-microenvironment interface
Miranda V. Hunter, Reuben Moncada, Joshua M. Weiss, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 171
DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence
Qianqian Song, Jing Su
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Open Access | Times Cited: 161
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: 161
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