Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Single-cell reference mapping to construct and extend cell-type hierarchies
Lieke Michielsen, Mohammad Lotfollahi, Daniel Strobl, et al.
NAR Genomics and Bioinformatics (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 19

Showing 19 citing articles:

A reference cell tree will serve science better than a reference cell atlas
Silvia Domcke, Jay Shendure
Cell (2023) Vol. 186, Iss. 6, pp. 1103-1114
Closed Access | Times Cited: 65
Biologically informed deep learning to query gene programs in single-cell atlases
Mohammad Lotfollahi, Sergei Rybakov, Karin Hrovatin, et al.
Nature Cell Biology (2023)
Open Access | Times Cited: 55
Spatially organized cellular communities form the developing human heart
Elie N. Farah, Robert Hu, Colin Kern, et al.
Nature (2024) Vol. 627, Iss. 8005, pp. 854-864
Open Access | Times Cited: 55
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: 27
The future of rapid and automated single-cell data analysis using reference mapping
Mohammad Lotfollahi, Yuhan Hao, Fabian J. Theis, et al.
Cell (2024) Vol. 187, Iss. 10, pp. 2343-2358
Open Access | Times Cited: 21
Population-level integration of single-cell datasets enables multi-scale analysis across samples
Carlo De Donno, Soroor Hediyeh-zadeh, Amir Ali Moinfar, et al.
Nature Methods (2023) Vol. 20, Iss. 11, pp. 1683-1692
Open Access | Times Cited: 38
scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data
Xiyue Cao, Yu‐An Huang, Zhu‐Hong You, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7
Benchmarking cross-species single-cell RNA-seq data integration methods: towards a cell type tree of life
Zhong Hua-wen, Wenkai Han, David Gómez-Cabrero, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 1
Open Access
scPML: pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data
Zhihua Du, Weilin Hu, Jianqiang Li, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Partial label learning for automated classification of single-cell transcriptomic profiles
Malek Senoussi, Thierry Artières, Paul Villoutreix
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1012006-e1012006
Open Access | Times Cited: 1
Hierarchical annotation of eQTLs by H-eQTL enables identification of genes with cell type-divergent regulation
Pawel F. Przytycki, Katherine S. Pollard
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Considerations for building and using integrated single-cell atlases
Karin Hrovatin, Lisa Sikkema, Vladimir A. Shitov, et al.
Nature Methods (2024)
Closed Access | Times Cited: 1
CellWalker2: multi-omic discovery of hierarchical cell type relationships and their associations with genomic annotations
Zhirui Hu, Pawel F. Przytycki, Katherine S. Pollard
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Exploring Hierarchical Structures of Cell Types in scRNA-seq Data
Hongyang Zhai, Yusen Ye, Yuxuan Hu, et al.
Lecture notes in computer science (2024), pp. 1-13
Closed Access
Enhancement of network architecture alignment in comparative single-cell studies
Clemens Schächter, Martin Treppner, Maren Hackenberg, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Enhancement of Network Architecture Alignment in Comparative Single-Cell Studies
Clemens Schächter, Martin Treppner, Maren Hackenberg, et al.
(2024)
Open Access
BrainCellR: A Precise Cell Type Nomenclature Pipeline for Comparative Analysis Across Brain Single-Cell Datasets
Yuhao Chi, Simone Marini, Guang‐Zhong Wang
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4306-4314
Open Access
Tree-structured topic modelling of single-cell gene expression data uncovers hierarchical relationships between immune cell types
Patricia Ye, Yichen Zhang, Ramon I. Klein Geltink, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
BrainCellR: A Precise Cell Type Nomenclature R Package for Comparative Analysis Across Brain Single-Cell Datasets
Yuhao Chi, Simone Marini, Guang‐Zhong Wang
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Page 1

Scroll to top