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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:

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
Brian Hie, Bryan D. Bryson, Bonnie Berger
Nature Biotechnology (2019) Vol. 37, Iss. 6, pp. 685-691
Open Access | Times Cited: 738

Showing 26-50 of 738 citing articles:

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
David Ahern, Zhichao Ai, Mark Ainsworth, et al.
Cell (2022) Vol. 185, Iss. 5, pp. 916-938.e58
Open Access | Times Cited: 248
Current progress and open challenges for applying deep learning across the biosciences
Nicolae Sapoval, Amirali Aghazadeh, Michael Nute, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 206
DNA methylation atlas of the mouse brain at single-cell resolution
Hanqing Liu, Jingtian Zhou, Wei Tian, et al.
Nature (2021) Vol. 598, Iss. 7879, pp. 120-128
Open Access | Times Cited: 201
Mapping single-cell atlases throughout Metazoa unravels cell type evolution
Alexander J. Tarashansky, Jacob M. Musser, Margarita Khariton, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 196
Cell Type-Specific Transcriptomics Reveals that Mutant Huntingtin Leads to Mitochondrial RNA Release and Neuronal Innate Immune Activation
Hyeseung Lee, Robert J. Fenster, S. Sebastian Pineda, et al.
Neuron (2020) Vol. 107, Iss. 5, pp. 891-908.e8
Open Access | Times Cited: 194
Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes
Ethan J. Armand, Junhao Li, Fangming Xie, et al.
Neuron (2021) Vol. 109, Iss. 1, pp. 11-26
Open Access | Times Cited: 186
IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation
Fan Zhang, Joseph Mears, Lorien Shakib, et al.
Genome Medicine (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 183
The specious art of single-cell genomics
Tara Chari, Lior Pachter
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011288-e1011288
Open Access | Times Cited: 165
A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations
Andrea J. De Micheli, Jason A. Spector, Olivier Elemento, et al.
Skeletal Muscle (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 159
Advances in spatial transcriptomic data analysis
Ruben Dries, Jiaji Chen, Natalie Del Rossi, et al.
Genome Research (2021) Vol. 31, Iss. 10, pp. 1706-1718
Open Access | Times Cited: 157
Spatiotemporal single-cell RNA sequencing of developing chicken hearts identifies interplay between cellular differentiation and morphogenesis
Madhav Mantri, Gaetano J. Scuderi, Roozbeh Abedini‐Nassab, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 155
Efficient and precise single-cell reference atlas mapping with Symphony
Joyce B. Kang, Aparna Nathan, Kathryn Weinand, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 153
Single-cell transcriptomics in cancer: computational challenges and opportunities
Jean Fan, Kamil Slowikowski, Fan Zhang
Experimental & Molecular Medicine (2020) Vol. 52, Iss. 9, pp. 1452-1465
Open Access | Times Cited: 148
Alignment and integration of spatial transcriptomics data
Ron Zeira, Max Land, Alexander Strzalkowski, et al.
Nature Methods (2022) Vol. 19, Iss. 5, pp. 567-575
Open Access | Times Cited: 145
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
Suoqin Jin, Lihua Zhang, Qing Nie
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 144
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
David W. McKellar, Lauren D. Walter, Leo T. Song, et al.
Communications Biology (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 139
Jointly defining cell types from multiple single-cell datasets using LIGER
Jialin Liu, Chao Gao, Joshua Sodicoff, et al.
Nature Protocols (2020) Vol. 15, Iss. 11, pp. 3632-3662
Open Access | Times Cited: 135
Chromatin accessibility profiling methods
Liesbeth Minnoye, Georgi K. Marinov, Thomas Krausgruber, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 130
DestVI identifies continuums of cell types in spatial transcriptomics data
Romain Lopez, Baoguo Li, Hadas Keren‐Shaul, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 9, pp. 1360-1369
Open Access | Times Cited: 130
Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs
Shira Weingarten-Gabbay, Susan Klaeger, Siranush Sarkizova, et al.
Cell (2021) Vol. 184, Iss. 15, pp. 3962-3980.e17
Open Access | Times Cited: 128
Assessing single-cell transcriptomic variability through density-preserving data visualization
Ashwin Narayan, Bonnie Berger, Hyunghoon Cho
Nature Biotechnology (2021) Vol. 39, Iss. 6, pp. 765-774
Open Access | Times Cited: 126
Cross-tissue, single-cell stromal atlas identifies shared pathological fibroblast phenotypes in four chronic inflammatory diseases
Ilya Korsunsky, Kevin Wei, Mathilde Pohin, et al.
Med (2022) Vol. 3, Iss. 7, pp. 481-518.e14
Open Access | Times Cited: 125
HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus
Lukas Steuernagel, Brian Lam, Paul Klemm, et al.
Nature Metabolism (2022) Vol. 4, Iss. 10, pp. 1402-1419
Open Access | Times Cited: 125
The Specious Art of Single-Cell Genomics
Tara Chari, Lior Pachter
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 119
Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states
Sergio Triana, Dominik Vonficht, Lea Jopp‐Saile, et al.
Nature Immunology (2021) Vol. 22, Iss. 12, pp. 1577-1589
Open Access | Times Cited: 119

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