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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:

Uncovering hypergraphs of cell-cell interaction from single cell RNA-sequencing data
Koki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Deciphering cell–cell interactions and communication from gene expression
Erick Armingol, Adam Officer, Olivier Harismendy, et al.
Nature Reviews Genetics (2020) Vol. 22, Iss. 2, pp. 71-88
Open Access | Times Cited: 914
SingleCellSignalR: inference of intercellular networks from single-cell transcriptomics
Simon Cabello‐Aguilar, Mélissa Alame, Fabien Kon-Sun-Tack, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. 10, pp. e55-e55
Open Access | Times Cited: 338
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
Daniel Dimitrov, Dénes Türei, Martín Garrido‐Rodriguez, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 303
Predicting cell-to-cell communication networks using NATMI
Rui Hou, Elena Denisenko, Huan Ting Ong, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 203
SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids
Jitske Jansen, Katharina C. Reimer, James S. Nagai, et al.
Cell stem cell (2021) Vol. 29, Iss. 2, pp. 217-231.e8
Open Access | Times Cited: 200
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: 200
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: 147
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: 65
Cancer cells resistant to immune checkpoint blockade acquire interferon-associated epigenetic memory to sustain T cell dysfunction
Jingya Qiu, Bihui Xu, Darwin Ye, et al.
Nature Cancer (2023)
Closed Access | Times Cited: 63
Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application
Minghui Wang, Won‐Min Song, Ming Chen, et al.
Molecular Neurodegeneration (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 69
Context-aware deconvolution of cell–cell communication with Tensor-cell2cell
Erick Armingol, Hratch Baghdassarian, Cameron Martino, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 68
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: 68
The interferon-stimulated gene RIPK1 regulates cancer cell intrinsic and extrinsic resistance to immune checkpoint blockade
Lisa Cucolo, Qingzhou Chen, Jingya Qiu, et al.
Immunity (2022) Vol. 55, Iss. 4, pp. 671-685.e10
Open Access | Times Cited: 63
Mapping the cardiac vascular niche in heart failure
Fabian Peisker, Maurice Halder, James S. Nagai, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 60
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
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
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: 25
Complex Analysis of Single-Cell RNA Sequencing Data
Anna A. Khozyainova, Anna A. Valyaeva, Mikhail Arbatsky, et al.
Biochemistry (Moscow) (2023) Vol. 88, Iss. 2, pp. 231-252
Open Access | Times Cited: 23
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: 11
Network modeling of single-cell omics data: challenges, opportunities, and progresses
Montgomery Blencowe, Douglas Arneson, Jessica Ding, et al.
Emerging Topics in Life Sciences (2019) Vol. 3, Iss. 4, pp. 379-398
Open Access | Times Cited: 58
RSPO2 defines a distinct undifferentiated progenitor in the tendon/ligament and suppresses ectopic ossification
Naohiro Tachibana, Ryota Chijimatsu, Hiroyuki Okada, et al.
Science Advances (2022) Vol. 8, Iss. 33
Open Access | Times Cited: 31
Overview of single‐cell RNA sequencing analysis and its application to spermatogenesis research
Takahiro Suzuki
Reproductive Medicine and Biology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 19
Identifying signaling genes in spatial single-cell expression data
Dongshunyi Li, Jun Ding, Ziv Bar‐Joseph
Bioinformatics (2020) Vol. 37, Iss. 7, pp. 968-975
Open Access | Times Cited: 43
ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods
Jiaxin Luo, Minghua Deng, Xuegong Zhang, et al.
Genome Research (2023) Vol. 33, Iss. 10, pp. 1788-1805
Open Access | Times Cited: 16
Applications and analytical tools of cell communication based on ligand-receptor interactions at single cell level
Fen Ma, Siwei Zhang, Lianhao Song, et al.
Cell & Bioscience (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 30
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