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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:

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

Showing 1-25 of 113 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
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
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 landscape of cell–cell communication through single-cell transcriptomics
Axel A. Almet, Zixuan Cang, Suoqin Jin, et al.
Current Opinion in Systems Biology (2021) Vol. 26, pp. 12-23
Open Access | Times Cited: 146
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
David W. McKellar, Lauren D. Walter, Leo T. Song, et al.
Communications Biology (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 146
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
Zexian Zeng, Yawei Li, Yiming Li, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 125
Spatial omics: Navigating to the golden era of cancer research
Yingcheng Wu, Yifei Cheng, Xiangdong Wang, et al.
Clinical and Translational Medicine (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 91
Morphology and gene expression profiling provide complementary information for mapping cell state
Gregory P. Way, Ted Natoli, Adeniyi Adeboye, et al.
Cell Systems (2022) Vol. 13, Iss. 11, pp. 911-923.e9
Open Access | Times Cited: 83
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
Computational strategies for single-cell multi-omics integration
Nigatu Adossa, Sofia Khan, Kalle T. Rytkönen, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2588-2596
Open Access | Times Cited: 76
Statistical and machine learning methods for spatially resolved transcriptomics with histology
Jian Hu, Amelia Schroeder, Kyle Coleman, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3829-3841
Open Access | Times Cited: 72
SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes
Yi Yang, Xingjie Shi, Wei Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 65
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
Sungwoo Bae, Kwon Joong Na, Jaemoon Koh, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 10, pp. e57-e57
Open Access | Times Cited: 59
Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors
Minxing Pang, Kenong Su, Mingyao Li
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 58
A 3D gene expression atlas of the floral meristem based on spatial reconstruction of single nucleus RNA sequencing data
Manuel Neumann, Xiaocai Xu, Cezary Smaczniak, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 53
De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution
Jie Liao, Jingyang Qian, Fang Yin, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 43
Spatial Transcriptomics: Technical Aspects of Recent Developments and Their Applications in Neuroscience and Cancer Research
Han‐Eol Park, Song Hyun Jo, Rosalind H. Lee, et al.
Advanced Science (2023) Vol. 10, Iss. 16
Open Access | Times Cited: 39
Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
Qihuang Zhang, Shunzhou Jiang, Amelia Schroeder, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 29
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Lihong Peng, Xianzhi He, Xinhuai Peng, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107440-107440
Closed Access | Times Cited: 26
DANCE: a deep learning library and benchmark platform for single-cell analysis
Jiayuan Ding, Renming Liu, Hongzhi Wen, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 8
ppGpp and RNA-polymerase backtracking guide antibiotic-induced mutable gambler cells
Yin Zhai, P.J. Minnick, John P. Pribis, et al.
Molecular Cell (2023) Vol. 83, Iss. 8, pp. 1298-1310.e4
Open Access | Times Cited: 20
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks
Xuejing Shi, Juntong Zhu, Yahui Long, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 18
Deep Learning in Single-cell Analysis
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-62
Open Access | Times Cited: 7
Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing – Review
Gabriel Dorado, Sergio Gálvez, Teresa E. Rosales Tham, et al.
Biomolecules (2021) Vol. 11, Iss. 8, pp. 1111-1111
Open Access | Times Cited: 38
Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes
Alex S. Genshaft, Carly G.K. Ziegler, Constantine N. Tzouanas, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 34
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