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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:

Inferring spatial and signaling relationships between cells from single cell transcriptomic data
Zixuan Cang, Qing Nie
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 290

Showing 26-50 of 290 citing articles:

High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
Milad R. Vahid, Erin L. Brown, Chloé B. Steen, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 11, pp. 1543-1548
Open Access | Times Cited: 82
SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport
Pınar Demetçi, Rebecca Santorella, Björn Sandstede, et al.
Journal of Computational Biology (2022) Vol. 29, Iss. 1, pp. 3-18
Open Access | Times Cited: 80
Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks
Yuansong Zeng, Zhuoyi Wei, Weijiang Yu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 80
DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data
Livnat Jerby‐Arnon, Aviv Regev
Nature Biotechnology (2022) Vol. 40, Iss. 10, pp. 1467-1477
Open Access | Times Cited: 78
Advances in spatial transcriptomics and related data analysis strategies
Jun Du, Yuchen Yang, Zhijie An, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 72
Deciphering tissue structure and function using spatial transcriptomics
Benjamin L. Walker, Zixuan Cang, Honglei Ren, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 71
Computational Approaches and Challenges in Spatial Transcriptomics
Shuangsang Fang, Bichao Chen, Yong Zhang, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 21, Iss. 1, pp. 24-47
Open Access | Times Cited: 71
CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics
Suoqin Jin, Maksim V. Plikus, Qing Nie
Nature Protocols (2024)
Closed Access | Times Cited: 68
A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication
Changde Cheng, Wenan Chen, Hongjian Jin, et al.
Cells (2023) Vol. 12, Iss. 15, pp. 1970-1970
Open Access | Times Cited: 57
Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
Xiaomeng Wan, Jiashun Xiao, Sindy Sing Ting Tam, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 54
Learning single-cell perturbation responses using neural optimal transport
Charlotte Bunne, Stefan G. Stark, Gabriele Gut, et al.
Nature Methods (2023) Vol. 20, Iss. 11, pp. 1759-1768
Open Access | Times Cited: 52
Mapping cells through time and space with moscot
Dominik Klein, Giovanni Palla, Marius Lange, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 51
The diversification of methods for studying cell–cell interactions and communication
Erick Armingol, Hratch Baghdassarian, Nathan E. Lewis
Nature Reviews Genetics (2024) Vol. 25, Iss. 6, pp. 381-400
Closed Access | Times Cited: 51
SpatialDM for rapid identification of spatially co-expressed ligand–receptor and revealing cell–cell communication patterns
Zhuoxuan Li, Tianjie Wang, Pentao Liu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 45
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics
Jiaqiang Zhu, Lulu Shang, Xiang Zhou
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 44
Inferring neuron-neuron communications from single-cell transcriptomics through NeuronChat
Wei Zhao, Kevin G. Johnston, Honglei Ren, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
Cell–cell communication: new insights and clinical implications
Jimeng Su, Ying Song, Zhipeng Zhu, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 31
The covariance environment defines cellular niches for spatial inference
Doron Haviv, Ján Remšík, Mohamed I. Gatie, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 23
Advances in spatial transcriptomics and its applications in cancer research
Huazhe Yang, Yuanli Zuo, Gang Li, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 22
Challenges and perspectives in computational deconvolution of genomics data
Lana X. Garmire, Yijun Li, Qianhui Huang, et al.
Nature Methods (2024) Vol. 21, Iss. 3, pp. 391-400
Open Access | Times Cited: 20
Niche-DE: niche-differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions
Kaishu Mason, Anuja Sathe, Paul R. Hess, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 17
Inference and analysis of cell-cell communication using CellChat
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 129
From whole-mount to single-cell spatial assessment of gene expression in 3D
Lisa N. Waylen, Hieu T. Nim, Luciano G. Martelotto, et al.
Communications Biology (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 113
Inferring microenvironmental regulation of gene expression from single-cell RNA sequencing data using scMLnet with an application to COVID-19
Jinyu Cheng, Ji Zhang, Zhongdao Wu, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 988-1005
Open Access | Times Cited: 104
NovoSpaRc: flexible spatial reconstruction of single-cell gene expression with optimal transport
Noa Moriel, Enes Senel, Nir Friedman, et al.
Nature Protocols (2021) Vol. 16, Iss. 9, pp. 4177-4200
Open Access | Times Cited: 83

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