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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:

Population-level integration of single-cell datasets enables multi-scale analysis across samples
Carlo De Donno, Soroor Hediyeh-zadeh, Marco Wagenstetter, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 19

Showing 19 citing articles:

Comparative transcriptomics reveals human-specific cortical features
Nikolas L. Jorstad, Janet Song, David Exposito-Alonso, et al.
Science (2023) Vol. 382, Iss. 6667
Open Access | Times Cited: 88
Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 51
Metric Mirages in Cell Embeddings
Hanchen Wang, Jure Leskovec, Aviv Regev
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
An integrated transcriptomic cell atlas of human neural organoids
Zhisong He, Leander Dony, Jonas Simon Fleck, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics
Yasa Baig, Helena Riuró, Helen Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Chronic exposure to glucocorticoids amplifies inhibitory neuron cell fate during human neurodevelopment in organoids
Leander Dony, Anthi C. Krontira, Lea Kaspar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Deep-learning methods for unveiling large-scale single-cell transcriptomes
Xilin Shen, Xiangchun Li
Cancer Biology and Medicine (2024) Vol. 20, Iss. 12, pp. 972-980
Open Access | Times Cited: 2
Multicellular factor analysis of single-cell data for a tissue-centric understanding of disease
Ricardo O. Ramirez Flores, Jan D. Lanzer, Daniel Dimitrov, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Scaling cross-tissue single-cell annotation models
Felix Fischer, David S. Fischer, Evan Biederstedt, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
An integrated transcriptomic cell atlas of human endoderm-derived organoids
Quan Xu, Lennard Halle, Soroor Hediyeh-zadeh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
scARE: Attribution Regularization for Single Cell Representation Learning
Kemal İnecik, Fabian J. Theis
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Multiplexing cortical brain organoids for the longitudinal dissection of developmental traits at single cell resolution
Nicolò Caporale, Davide Castaldi, Marco Tullio Rigoli, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Community effort to unravel the complex human neuronal landscape exemplified for the striatum
Joachim L. Schultze, Shobhit Agrawal, Rebekka Scholz, et al.
Research Square (Research Square) (2024)
Open Access
Single-Cell Transcriptomics Reveals the Molecular Logic Underlying Ca2+Signaling Diversity in Human and Mouse Brain
Ibrahim Al Rayyes, Lauri Louhivuori, Ivar Dehnisch Ellström, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Trajectory-centric Framework TrajAtlas reveals multi-scale differentiation heterogeneity among cells, genes, and gene module in osteogenesis
Litian Han, Yaoting Ji, Yiqian Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Benchmarking deep learning methods for biologically conserved single-cell integration
Chenxin Yi, Jinyu Cheng, Wanquan Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
inVAE: Conditionally invariant representation learning for generating multivariate single-cell reference maps
Hananeh Aliee, Ferdinand Kapl, Duy Pham Thanh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Interpretable joint clustering of single-cell transcriptomes
Jesper Grud Skat Madsen, Andreas Møller
Research Square (Research Square) (2023)
Open Access
Deep identifiable modeling of single-cell atlases enables zero-shot query of cellular states
Mingze Dong, Kriti Agrawal, Rong Fan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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