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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:

A curated database reveals trends in single-cell transcriptomics
Valentine Svensson, Eduardo da Veiga Beltrame, Lior Pachter
Database (2020) Vol. 2020
Open Access | Times Cited: 194

Showing 51-75 of 194 citing articles:

Private information leakage from single-cell count matrices
Conor R. Walker, Xiaoting Li, Manav Chakravarthy, et al.
Cell (2024) Vol. 187, Iss. 23, pp. 6537-6549.e10
Open Access | Times Cited: 6
Hierarchical progressive learning of cell identities in single-cell data
Lieke Michielsen, Marcel J. T. Reinders, Ahmed Mahfouz
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 39
Building the mega single-cell transcriptome ocular meta-atlas
Vinay Swamy, Temesgen Fufa, Robert B. Hufnagel, et al.
GigaScience (2021) Vol. 10, Iss. 10
Open Access | Times Cited: 35
From words to complete phrases: insight into single-cell isoforms using short and long reads
Anoushka Joglekar, Careen Foord, Julien Jarroux, et al.
Transcription (2023) Vol. 14, Iss. 3-5, pp. 92-104
Open Access | Times Cited: 15
Data Mining of Microarray Datasets in Translational Neuroscience
Lance M. O’Connor, Blake A. O’Connor, Jialiu Zeng, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1318-1318
Open Access | Times Cited: 13
Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experiments
John Chamberlin, Younghee Lee, Gábor Marth, et al.
Genome Research (2024) Vol. 34, Iss. 2, pp. 179-188
Open Access | Times Cited: 5
Topological benchmarking of algorithms to infer gene regulatory networks from single-cell RNA-seq data
Marco Stock, Niclas Popp, Jonathan Fiorentino, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 5
Advances and applications in single-cell and spatial genomics
Jingjing Wang, Fang Ye, Haoxi Chai, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 5
Prioritization of cell types responsive to biological perturbations in single-cell data with Augur
Jordan W. Squair, Michael A. Skinnider, Matthieu Gautier, et al.
Nature Protocols (2021) Vol. 16, Iss. 8, pp. 3836-3873
Closed Access | Times Cited: 32
Selecting gene features for unsupervised analysis of single-cell gene expression data
Jie Sheng, Wei Vivian Li
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 30
Sfaira accelerates data and model reuse in single cell genomics
David S. Fischer, Leander Dony, Martin König, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 28
Lung Cell Atlases in Health and Disease
Taylor Adams, Arnaud Marlier, Naftali Kaminski
Annual Review of Physiology (2022) Vol. 85, Iss. 1, pp. 47-69
Open Access | Times Cited: 22
A Primer for Single-Cell Sequencing in Non-Model Organisms
James M. Alfieri, Guosong Wang, Michelle M. Jonika, et al.
Genes (2022) Vol. 13, Iss. 2, pp. 380-380
Open Access | Times Cited: 21
A comparison of marker gene selection methods for single-cell RNA sequencing data
Jeffrey M. Pullin, Davis J. McCarthy
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 20
Single-Cell RNA Sequencing for Studying Human Cancers
Dvir Aran
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 1-22
Open Access | Times Cited: 12
SampleQC: robust multivariate, multi-cell type, multi-sample quality control for single-cell data
Will Macnair, Mark D. Robinson
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 11
STellaris: a web server for accurate spatial mapping of single cells based on spatial transcriptomics data
Xiangshang Li, Chunfu Xiao, Juntian Qi, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W560-W568
Open Access | Times Cited: 11
Building and analyzing metacells in single-cell genomics data
Mariia Bilous, Léonard Hérault, Aurélie AG Gabriel, et al.
Molecular Systems Biology (2024) Vol. 20, Iss. 7, pp. 744-766
Open Access | Times Cited: 4
Drug combination prediction for cancer treatment using disease-specific drug response profiles and single-cell transcriptional signatures
Daniel Osorio, Parastoo Shahrouzi, Xavier Tekpli, et al.
(2025)
Open Access
Drug combination prediction for cancer treatment using disease-specific drug response profiles and single-cell transcriptional signatures
Daniel Osorio, Parastoo Shahrouzi, Xavier Tekpli, et al.
(2025)
Open Access
Biases in machine-learning models of human single-cell data
Theresa Willem, Vladimir A. Shitov, Malte D. Luecken, et al.
Nature Cell Biology (2025)
Closed Access
Opportunities and challenges in the application of single-cell transcriptomics in plant tissue research
Man Luo, Yunpeng Cao, Jiayi Hong
Physiology and Molecular Biology of Plants (2025) Vol. 31, Iss. 2, pp. 199-209
Closed Access
Primer on machine learning applications in brain immunology
Niklas Binder, Ashkan Khavaran, Roman Sankowski
Frontiers in Bioinformatics (2025) Vol. 5
Open Access
Identifying similar populations across independent single cell studies without data integration
Óscar González-Velasco, Malte Simon, Rüstem Yilmaz, et al.
NAR Genomics and Bioinformatics (2025) Vol. 7, Iss. 2
Open Access
Single Cell Sequencing Reveals Glial Specific Responses to Tissue Processing & Enzymatic Dissociation in Mice and Humans
Samuel E. Marsh, Tushar Kamath, Alec J. Walker, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 29

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