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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:

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

Showing 1-25 of 59 citing articles:

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: 224
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
Spatial transcriptomics deconvolution at single-cell resolution using Redeconve
Zixiang Zhou, Yunshan Zhong, Zemin Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
Mapping cancer biology in space: applications and perspectives on spatial omics for oncology
Sumin Lee, Gyeongjun Kim, JinYoung Lee, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 15
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
Navigating the landscapes of spatial transcriptomics: How computational methods guide the way
Runze Li, Xu Chen, Xuerui Yang
Wiley Interdisciplinary Reviews - RNA (2024) Vol. 15, Iss. 2
Closed Access | Times Cited: 8
STdGCN: spatial transcriptomic cell-type deconvolution using graph convolutional networks
Yawei Li, Yuan Luo
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 8
Application of single-cell sequencing to the research of tumor microenvironment
Sijie Chen, Zhiqing Zhou, Yu Li, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 16
Integration tools for scRNA-seq data and spatial transcriptomics sequencing data
Chaorui Yan, Yanxu Zhu, Miao Chen, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 295-302
Closed Access | Times Cited: 6
Emerging artificial intelligence applications in Spatial Transcriptomics analysis
Yijun Li, Stefan Stanojevic, Lana X. Garmire
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2895-2908
Open Access | Times Cited: 26
Spatiotemporal characterization of glial cell activation in an Alzheimer’s disease model by spatially resolved transcriptomics
Hongyoon Choi, Eun Ji Lee, Jin Seop Shin, et al.
Experimental & Molecular Medicine (2023) Vol. 55, Iss. 12, pp. 2564-2575
Open Access | Times Cited: 15
spSeudoMap: cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data
Sungwoo Bae, Hongyoon Choi, Dong Soo Lee
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 13
The role of microglia heterogeneity in synaptic plasticity and brain disorders: Will sequencing shed light on the discovery of new therapeutic targets?
Yi You, Zhong Chen, Weiwei Hu
Pharmacology & Therapeutics (2024) Vol. 255, pp. 108606-108606
Closed Access | Times Cited: 5
Spatial omics techniques and data analysis for cancer immunotherapy applications
Yanlong Zhang, Ren Yuan Lee, Chin Wee Tan, et al.
Current Opinion in Biotechnology (2024) Vol. 87, pp. 103111-103111
Closed Access | Times Cited: 5
LETSmix: a spatially informed and learning-based domain adaptation method for cell-type deconvolution in spatial transcriptomics
Yangen Zhan, Yongbing Zhang, Zheqi Hu, et al.
Genome Medicine (2025) Vol. 17, Iss. 1
Open Access
STopover captures spatial colocalization and interaction in the tumor microenvironment using topological analysis in spatial transcriptomics data
Sungwoo Bae, Hyekyoung Lee, Kwon Joong Na, et al.
Genome Medicine (2025) Vol. 17, Iss. 1
Open Access
Principles of Spatial Transcriptomics Analysis: A Practical Walk-Through in Kidney Tissue
Teia Noel, Qingbo Wang, Anna Greka, et al.
Frontiers in Physiology (2022) Vol. 12
Open Access | Times Cited: 20
Decoding brain memory formation by single-cell RNA sequencing
Atlas Sardoo, Shaoqiang Zhang, Thomas N. Ferraro, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 19
GTADC: A Graph-Based Method for Inferring Cell Spatial Distribution in Cancer Tissues
Tianjiao Zhang, Ziheng Zhang, Liangyu Li, et al.
Biomolecules (2024) Vol. 14, Iss. 4, pp. 436-436
Open Access | Times Cited: 4
SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics
Asish Kumar Swain, Vrushali Pandit, Jyoti Sharma, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
Novel insights into paclitaxel’s role on tumor-associated macrophages in enhancing PD-1 blockade in breast cancer treatment
Yoonjeong Choi, Seong A Kim, Hanul Jung, et al.
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 7, pp. e008864-e008864
Open Access | Times Cited: 4
Dual-mode action of scalable, high-quality engineered stem cell-derived SIRPα-extracellular vesicles for treating acute liver failure
Seohyun Kim, Yoon Kyoung Kim, Seonghyun Kim, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Dissection of Tumoral Niches Using Spatial Transcriptomics and Deep Learning
Karla Paniagua, Yufang Jin, Yidong Chen, et al.
iScience (2025) Vol. 28, Iss. 4, pp. 112214-112214
Open Access
The promise and challenge of spatial omics in dissecting tumour microenvironment and the role of AI
Ren Yuan Lee, Chan Way Ng, Menaka Priyadharsani Rajapakse, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Sayedali Shetab Boushehri, Katharina Essig, Nikolaos‐Kosmas Chlis, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
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