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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 51-75 of 290 citing articles:

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
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies
Lihong Peng, Feixiang Wang, Zhao Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 67
Updates on Immunotherapy and Immune Landscape in Renal Clear Cell Carcinoma
Myung‐Chul Kim, Jin Zeng, Ryan Kolb, et al.
Cancers (2021) Vol. 13, Iss. 22, pp. 5856-5856
Open Access | Times Cited: 59
Analysis and Visualization of Spatial Transcriptomic Data
Boxiang Liu, Yanjun Li, Liang Zhang
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 53
A unified computational framework for single-cell data integration with optimal transport
Kai Cao, Qiyu Gong, Yiguang Hong, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 46
A Novel Approach to the Partial Information Decomposition
Artemy Kolchinsky
Entropy (2022) Vol. 24, Iss. 3, pp. 403-403
Open Access | Times Cited: 44
Deciphering endothelial heterogeneity in health and disease at single-cell resolution: progress and perspectives
Lisa M. Becker, Shiau-Haln Chen, Julie Rodor, et al.
Cardiovascular Research (2022) Vol. 119, Iss. 1, pp. 6-27
Open Access | Times Cited: 38
A guidebook of spatial transcriptomic technologies, data resources and analysis approaches
Liangchen Yue, Feng Liu, Jiongsong Hu, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 940-955
Open Access | Times Cited: 37
TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics
Simon Mages, Noa Moriel, Inbal Avraham‐Davidi, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 10, pp. 1465-1473
Open Access | Times Cited: 36
Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data
Lihong Peng, Jingwei Tan, Wei Xiong, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107137-107137
Closed Access | Times Cited: 35
Robust single-cell matching and multimodal analysis using shared and distinct features
Bokai Zhu, Shuxiao Chen, Yunhao Bai, et al.
Nature Methods (2023) Vol. 20, Iss. 2, pp. 304-315
Open Access | Times Cited: 34
The promising application of cell-cell interaction analysis in cancer from single-cell and spatial transcriptomics
Xinyi Wang, Axel A. Almet, Qing Nie
Seminars in Cancer Biology (2023) Vol. 95, pp. 42-51
Open Access | Times Cited: 34
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
CellEnBoost: A Boosting-Based Ligand-Receptor Interaction Identification Model for Cell-to-Cell Communication Inference
Lihong Peng, Ruya Yuan, Chendi Han, et al.
IEEE Transactions on NanoBioscience (2023) Vol. 22, Iss. 4, pp. 705-715
Closed Access | Times Cited: 28
Decoding the Complexity of Immune–Cancer Cell Interactions: Empowering the Future of Cancer Immunotherapy
Kaitlyn Maffuid, Yanguang Cao
Cancers (2023) Vol. 15, Iss. 16, pp. 4188-4188
Open Access | Times Cited: 28
Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review
Xue Yang, Kexin Huang, Dewei Yang, et al.
Global Challenges (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 26
SONAR enables cell type deconvolution with spatially weighted Poisson-Gamma model for spatial transcriptomics
Zhiyuan Liu, Dafei Wu, Weiwei Zhai, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis
Lihong Peng, Wei Xiong, Chendi Han, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 580-591
Closed Access | Times Cited: 24
Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
Haochen Li, Tianxing Ma, Minsheng Hao, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 22
Spatiotemporal modeling of molecular holograms
Xiaojie Qiu, Daniel Y. Zhu, Yifan Lu, et al.
Cell (2024)
Open Access | Times Cited: 15
TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses
Eric Sun, Rong Ma, Paloma Navarro Negredo, et al.
Nature Methods (2024) Vol. 21, Iss. 3, pp. 444-454
Open Access | Times Cited: 10
Lost in space: what single-cell RNA sequencing cannot tell you
Kelvin Adema, Michael A. Schon, Michael D. Nodine, et al.
Trends in Plant Science (2024) Vol. 29, Iss. 9, pp. 1018-1028
Open Access | Times Cited: 10
Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics
Ying Ma, Xiang Zhou
Nature Methods (2024) Vol. 21, Iss. 7, pp. 1231-1244
Closed Access | Times Cited: 10
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 10
Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network
Wenyi Yang, Pingping Wang, Shouping Xu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10

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