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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:

SCDC: bulk gene expression deconvolution by multiple single-cell RNA sequencing references
Meichen Dong, Aatish Thennavan, Eugene Urrutia, et al.
Briefings in Bioinformatics (2019) Vol. 22, Iss. 1, pp. 416-427
Open Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Sophia K. Longo, Margaret Guo, Andrew L. Ji, et al.
Nature Reviews Genetics (2021) Vol. 22, Iss. 10, pp. 627-644
Open Access | Times Cited: 682
SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes
Marc Elosua-Bayés, Paula Nieto, Elisabetta Mereu, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 9, pp. e50-e50
Open Access | Times Cited: 510
Molecular logic of cellular diversification in the mouse cerebral cortex
Daniela J. Di Bella, Ehsan Habibi, Robert R. Stickels, et al.
Nature (2021) Vol. 595, Iss. 7868, pp. 554-559
Open Access | Times Cited: 341
Benchmarking of cell type deconvolution pipelines for transcriptomics data
Francisco Avila Cobos, José Alquicira-Hernández, Joseph E. Powell, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 331
Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology
Tinyi Chu, Zhong Wang, Dana Pe’er, et al.
Nature Cancer (2022) Vol. 3, Iss. 4, pp. 505-517
Open Access | Times Cited: 294
Spatially informed cell-type deconvolution for spatial transcriptomics
Ying Ma, Xiang Zhou
Nature Biotechnology (2022) Vol. 40, Iss. 9, pp. 1349-1359
Open Access | Times Cited: 284
SpatialDWLS: accurate deconvolution of spatial transcriptomic data
Rui Dong, Guo‐Cheng Yuan
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 230
Single-cell analyses of aging, inflammation and senescence
Bora Uyar, Daniel H. Palmer, Axel Kowald, et al.
Ageing Research Reviews (2020) Vol. 64, pp. 101156-101156
Open Access | Times Cited: 142
Estimation of cell lineages in tumors from spatial transcriptomics data
Beibei Ru, Jinlin Huang, Yu Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52
Challenges and perspectives in computational deconvolution of genomics data
Lana X. Garmire, Yijun Li, Qianhui Huang, et al.
Nature Methods (2024) Vol. 21, Iss. 3, pp. 391-400
Open Access | Times Cited: 22
BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk
Natalie R. Davidson, Fan Zhang, Casey S. Greene
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012742-e1012742
Open Access | Times Cited: 2
Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application
Minghui Wang, Won‐Min Song, Ming Chen, et al.
Molecular Neurodegeneration (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 70
Developmental dynamics of RNA translation in the human brain
Erin E. Duffy, Benjamin Finander, GiHun Choi, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 10, pp. 1353-1365
Open Access | Times Cited: 68
B cell expansion hinders the stroma-epithelium regenerative cross talk during mucosal healing
Annika Frede, Paulo Czarnewski, Gustavo Monasterio, et al.
Immunity (2022) Vol. 55, Iss. 12, pp. 2336-2351.e12
Open Access | Times Cited: 63
The effect of background noise and its removal on the analysis of single-cell expression data
Philipp Janssen, Zane Kliesmete, Beate Vieth, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 39
Linking environmental risk factors with epigenetic mechanisms in Parkinson’s disease
Maria Tsalenchuk, Steve Gentleman, Sarah J. Marzi
npj Parkinson s Disease (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 38
Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model
Velina S. Atanasova, Crhistian de Jesus Cardona, Václav Hejret, et al.
Cellular and Molecular Gastroenterology and Hepatology (2023) Vol. 15, Iss. 6, pp. 1391-1419
Open Access | Times Cited: 30
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.
eLife (2023) Vol. 12
Open Access | Times Cited: 28
SONAR enables cell type deconvolution with spatially weighted Poisson-Gamma model for spatial transcriptomics
Zhiyuan Liu, Dafei Wu, Weiwei Zhai, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Interpretable and context-free deconvolution of multi-scale whole transcriptomic data with UniCell deconvolve
Daniel Charytonowicz, Rachel Brody, Robert Sebra
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 25
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Sean K. Maden, Sang Ho Kwon, Louise A. Huuki-Myers, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 25
Fourteen years of cellular deconvolution: methodology, applications, technical evaluation and outstanding challenges
Hung Nguyen, Ha Nam Nguyen, Duc Tran, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 9, pp. 4761-4783
Open Access | Times Cited: 15
STdGCN: spatial transcriptomic cell-type deconvolution using graph convolutional networks
Yawei Li, Yuan Luo
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 10
Tumor immune dysfunction and exclusion subtypes in bladder cancer and pan-cancer: a novel molecular subtyping strategy and immunotherapeutic prediction model
Kun Zheng, Youlong Hai, Hongqi Chen, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 9
Single-Cell Analyses Offer Insights into the Different Remodeling Programs of Arteries and Veins
Miguel G. Rojas, Simone Pereira‐Simon, Zachary M. Zigmond, et al.
Cells (2024) Vol. 13, Iss. 10, pp. 793-793
Open Access | Times Cited: 9
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