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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:

Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
Ellis Patrick, Mariko Taga, Ayla Ergün, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 8, pp. e1008120-e1008120
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
Brandon Jew, Marcus Alvarez, Elior Rahmani, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 302
Deep learning–based cell composition analysis from tissue expression profiles
Kevin Menden, Mohamed Marouf, Sergio Oller Moreno, et al.
Science Advances (2020) Vol. 6, Iss. 30
Open Access | Times Cited: 165
Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD
Michael J. Gandal, Jillian R. Haney, Brie Wamsley, et al.
Nature (2022) Vol. 611, Iss. 7936, pp. 532-539
Open Access | Times Cited: 135
Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases
Niek de Klein, Ellen Tsai, Martijn Vochteloo, et al.
Nature Genetics (2023) Vol. 55, Iss. 3, pp. 377-388
Open Access | Times Cited: 132
Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease
Anael Cain, Mariko Taga, Cristin McCabe, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 7, pp. 1267-1280
Open Access | Times Cited: 59
Cell subtype-specific effects of genetic variation in the Alzheimer’s disease brain
Masashi Fujita, Zongmei Gao, Lu Zeng, et al.
Nature Genetics (2024) Vol. 56, Iss. 4, pp. 605-614
Closed Access | Times Cited: 47
scMD facilitates cell type deconvolution using single-cell DNA methylation references
Manqi Cai, Jingtian Zhou, Chris McKennan, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 30
Profiling of microglia nodules in multiple sclerosis reveals propensity for lesion formation
Aletta M.R. van den Bosch, Marlijn van der Poel, Nina L. Fransen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
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: 12
Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain
Hans‐Ulrich Klein, Caroline Trumpff, Hyun‐Sik Yang, et al.
Molecular Neurodegeneration (2021) Vol. 16, Iss. 1
Open Access | Times Cited: 79
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: 63
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Yanshuo Chen, Yixuan Wang, Yuelong Chen, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 51
Cell type-specific changes identified by single-cell transcriptomics in Alzheimer’s disease
Tain Luquez, Pallavi Gaur, Ivy M Kosater, et al.
Genome Medicine (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 37
A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
Yashar Zeighami, Trygve E. Bakken, Thomas Nickl‐Jockschat, et al.
PLoS Biology (2023) Vol. 21, Iss. 4, pp. e3002058-e3002058
Open Access | Times Cited: 26
Neuron-specific transcriptomic signatures indicate neuroinflammation and altered neuronal activity in ASD temporal cortex
Pan Zhang, Alicja Omanska, Bradley P. Ander, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 10
Open Access | Times Cited: 20
Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics
Chloe X. Yap, Daniel Vo, Matthew G. Heffel, et al.
Science Advances (2024) Vol. 10, Iss. 21
Open Access | Times Cited: 6
regionalpcs improve discovery of DNA methylation associations with complex traits
Tiffany Eulalio, Min Sun, Olivier Gevaert, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Cross‐tissue comparison of epigenetic aging clocks in humans
Abner T. Apsley, Qiaofeng Ye, Avshalom Caspi, et al.
Aging Cell (2025)
Open Access
Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseases
Niek de Klein, Ellen Tsai, Martijn Vochteloo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 49
Cell-type-specific expression quantitative trait loci associated with Alzheimer disease in blood and brain tissue
Devanshi Patel, Xiaoling Zhang, John J. Farrell, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 39
Gene-expression profiling of individuals resilient to Alzheimer's disease reveals higher expression of genes related to metallothionein and mitochondrial processes and no changes in the unfolded protein response
Luuk E. de Vries, Aldo Jongejan, Jennifer Monteiro Fortes, et al.
Acta Neuropathologica Communications (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Detecting the effect of genetic diversity on brain composition in an Alzheimer’s disease mouse model
Brianna Gurdon, Sharon C. Yates, Gergely Csucs, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data
Rujia Dai, Tianyao Chu, Ming Zhang, et al.
Science Advances (2024) Vol. 10, Iss. 21
Open Access | Times Cited: 5
Untangling the effects of cellular composition on coexpression analysis
Marjan Farahbod, Paul Pavlidis
Genome Research (2020) Vol. 30, Iss. 6, pp. 849-859
Open Access | Times Cited: 38
Transcriptomic analysis of frontotemporal lobar degeneration with TDP-43 pathology reveals cellular alterations across multiple brain regions
Rahat Hasan, Jack Humphrey, Conceição Bettencourt, et al.
Acta Neuropathologica (2021) Vol. 143, Iss. 3, pp. 383-401
Open Access | Times Cited: 34
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