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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:

CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing
Jurrian K. de Kanter, Philip Lijnzaad, Tito Candelli, et al.
Nucleic Acids Research (2019) Vol. 47, Iss. 16, pp. e95-e95
Open Access | Times Cited: 237

Showing 1-25 of 237 citing articles:

Eleven grand challenges in single-cell data science
David Lähnemann, Johannes Köster, Ewa Szczurek, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 990
Decoding myofibroblast origins in human kidney fibrosis
Christoph Kuppe, Mahmoud M. Ibrahim, Jennifer Kranz, et al.
Nature (2020) Vol. 589, Iss. 7841, pp. 281-286
Open Access | Times Cited: 510
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 480
Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data
Aleksandr Ianevski, Anil K. Giri, Tero Aittokallio
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 358
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Xin Shao, Jie Liao, Xiaoyan Lu, et al.
iScience (2020) Vol. 23, Iss. 3, pp. 100882-100882
Open Access | Times Cited: 239
Automated methods for cell type annotation on scRNA-seq data
Giovanni Pasquini, Jesús Eduardo Rojo Arias, Patrick Schäfer, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 961-969
Open Access | Times Cited: 171
Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
Shiquan Sun, Jiaqiang Zhu, Ying Ma, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 170
Gene signature extraction and cell identity recognition at the single-cell level with Cell-ID
Akira Cortal, Loredana Martignetti, Emmanuelle Six, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 9, pp. 1095-1102
Open Access | Times Cited: 112
scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network
Xin Shao, Haihong Yang, Xiang Zhuang, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 21, pp. e122-e122
Open Access | Times Cited: 100
Transformer for one stop interpretable cell type annotation
Jiawei Chen, Hao Xu, Wanyu Tao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 94
Computational solutions for spatial transcriptomics
Iivari Kleino, Paulina Frolovaitė, Tomi Suomi, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4870-4884
Open Access | Times Cited: 78
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: 45
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Gunsagar S. Gulati, Jeremy Philip D’Silva, Yunhe Liu, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 26, Iss. 1, pp. 11-31
Closed Access | Times Cited: 14
Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST
Zhi-Jie Cao, Wei Lin, Lu Shen, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 117
scClassify: sample size estimation and multiscale classification of cells using single and multiple reference
Yingxin Lin, Yue Cao, Hani Jieun Kim, et al.
Molecular Systems Biology (2020) Vol. 16, Iss. 6
Open Access | Times Cited: 113
Putative cell type discovery from single-cell gene expression data
Zhichao Miao, Pablo Moreno, Ni Huang, et al.
Nature Methods (2020) Vol. 17, Iss. 6, pp. 621-628
Open Access | Times Cited: 110
Single Cell RNA Sequencing in Atherosclerosis Research
Jesse W. Williams, Holger Winkels, Christopher P. Durant, et al.
Circulation Research (2020) Vol. 126, Iss. 9, pp. 1112-1126
Open Access | Times Cited: 106
Evaluation of Cell Type Annotation R Packages on Single-Cell RNA-Seq Data
Qianhui Huang, Yu Liu, Yuheng Du, et al.
Genomics Proteomics & Bioinformatics (2020) Vol. 19, Iss. 2, pp. 267-281
Open Access | Times Cited: 102
Semisupervised adversarial neural networks for single-cell classification
Jacob C. Kimmel, David R. Kelley
Genome Research (2021) Vol. 31, Iss. 10, pp. 1781-1793
Open Access | Times Cited: 83
scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
Qianqian Song, Jing Su, Wei Zhang
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 78
Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
Min‐Ying Su, Tao Pan, Qiu-Zhen Chen, et al.
Military Medical Research (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 52
Pan-cancer classification of single cells in the tumour microenvironment
Ido Nofech-Mozes, David Soave, Philip Awadalla, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 23
Cellcano: supervised cell type identification for single cell ATAC-seq data
Wenjing Ma, Jiaying Lu, Hao Wu
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
Jing Jiang, Junlin Xu, Yuansheng Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 19
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: 8
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