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:

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: 853

Showing 1-25 of 853 citing articles:

Inference and analysis of cell-cell communication using CellChat
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 4070

The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth
Karin E. de Visser, Johanna A. Joyce
Cancer Cell (2023) Vol. 41, Iss. 3, pp. 374-403
Open Access | Times Cited: 1233

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: 975

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

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: 423

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: 308

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Juexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 270

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: 264

Molecular pathogenesis and systemic therapies for hepatocellular carcinoma
Josep M. Llovet, Roser Pinyol, Robin Kate Kelley, et al.
Nature Cancer (2022) Vol. 3, Iss. 4, pp. 386-401
Open Access | Times Cited: 244

Integrated intra‐ and intercellular signaling knowledge for multicellular omics analysis
Dénes Türei, Alberto Valdeolivas, Lejla Gul, et al.
Molecular Systems Biology (2021) Vol. 17, Iss. 3
Open Access | Times Cited: 225

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

Atlas of clinically distinct cell states and ecosystems across human solid tumors
Bogdan Luca, Chloé B. Steen, Magdalena Matusiak, et al.
Cell (2021) Vol. 184, Iss. 21, pp. 5482-5496.e28
Open Access | Times Cited: 186

Conservation and divergence of cortical cell organization in human and mouse revealed by MERFISH
Rongxin Fang, Chenglong Xia, Jennie Close, et al.
Science (2022) Vol. 377, Iss. 6601, pp. 56-62
Open Access | Times Cited: 184

CellCall: integrating paired ligand–receptor and transcription factor activities for cell–cell communication
Yang Zhang, Tianyuan Liu, Xuesong Hu, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 15, pp. 8520-8534
Open Access | Times Cited: 161

Advances in spatial transcriptomic data analysis
Ruben Dries, Jiaji Chen, Natalie Del Rossi, et al.
Genome Research (2021) Vol. 31, Iss. 10, pp. 1706-1718
Open Access | Times Cited: 161

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: 161

Gene regulatory network inference in the era of single-cell multi-omics
Pau Badia-i-Mompel, Lorna Wessels, Sophia Müller‐Dott, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 11, pp. 739-754
Closed Access | Times Cited: 157

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: 143

DestVI identifies continuums of cell types in spatial transcriptomics data
Romain Lopez, Baoguo Li, Hadas Keren‐Shaul, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 9, pp. 1360-1369
Open Access | Times Cited: 132

Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues
Duy Pham, Xiao Tan, Brad Balderson, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 128

The endocrine role of brown adipose tissue: An update on actors and actions
Aleix Gavaldà‐Navarro, Joan Villarroya, Rubén Cereijo, et al.
Reviews in Endocrine and Metabolic Disorders (2021) Vol. 23, Iss. 1, pp. 31-41
Closed Access | Times Cited: 103

Osteocytes in bone aging: Advances, challenges, and future perspectives
Jiarui Cui, Yo Shibata, Tianmin Zhu, et al.
Ageing Research Reviews (2022) Vol. 77, pp. 101608-101608
Closed Access | Times Cited: 87

Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Zhaoyang Liu, Dongqing Sun, Chenfei Wang
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 85

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: 84

Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk
Xin Shao, Chengyu Li, Haihong Yang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 82

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