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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:

Tissue-specific enhancer–gene maps from multimodal single-cell data identify causal disease alleles
Saori Sakaue, Kathryn Weinand, Shakson Isaac, et al.
Nature Genetics (2024) Vol. 56, Iss. 4, pp. 615-626
Open Access | Times Cited: 22

Showing 22 citing articles:

Single-cell genomics meets human genetics
Anna Cuomo, Aparna Nathan, Soumya Raychaudhuri, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 535-549
Closed Access | Times Cited: 72
Deciphering the impact of genomic variation on function
J Engreitz, Heather A. Lawson, Harinder Singh, et al.
Nature (2024) Vol. 633, Iss. 8028, pp. 47-57
Closed Access | Times Cited: 20
The chromatin landscape of pathogenic transcriptional cell states in rheumatoid arthritis
Kathryn Weinand, Saori Sakaue, Aparna Nathan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
The genetic basis of autoimmunity seen through the lens of T cell functional traits
Kaitlyn A. Lagattuta, Hannah L. Park, Laurie Rumker, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Efficient count-based models improve power and robustness for large-scale single-cell eQTL mapping
Zixuan Zhang, Artem Kim, Noah Suboc, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Chromatin accessibility provides a window into the genetic etiology of human brain disease
Jaroslav Bendl, John F. Fullard, Kiran Girdhar, et al.
Trends in Genetics (2025)
Closed Access
An Attention‐Based Deep Neural Network Model to Detect Cis‐Regulatory Elements at the Single‐Cell Level From Multi‐Omics Data
Murakami Ken, Keita Iida, Mariko Okada
Genes to Cells (2025) Vol. 30, Iss. 2
Open Access
Mapping the regulatory effects of common and rare non-coding variants across cellular and developmental contexts in the brain and heart
Andrew R. Marderstein, Soumya Kundu, Evin M. Padhi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
EPIraction - an atlas of candidate enhancer-gene interactions in human tissues and cell lines.
Ramil Nurtdinov, Roderic Guigó
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Characterization of non-coding variants associated with transcription-factor binding through ATAC-seq-defined footprint QTLs in liver
Max F. Dudek, Brandon M. Wenz, Christopher D. Brown, et al.
The American Journal of Human Genetics (2025)
Open Access
scMultiMap: Cell-type-specific mapping of enhancers and target genes from single-cell multimodal data
Chang Su, Dongsoo Lee, Peng Jin, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
A single-cell multimodal view on gene regulatory network inference from transcriptomics and chromatin accessibility data
Jens Uwe Loers, Vanessa Vermeirssen
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 3
The Chromatin Landscape of Pathogenic Transcriptional Cell States in Rheumatoid Arthritis
Kathryn Weinand, Saori Sakaue, Aparna Nathan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Unraveling the genetic architecture of blood unfolded p-53 among non-demented elderlies: novel candidate genes for early Alzheimer's disease
Arash Yaghoobi, Seyed Amir Malekpour
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Single-cell multi-omics map of human fetal blood in Down syndrome
Andrew R. Marderstein, Marco De Zuani, Rebecca Moeller, et al.
Nature (2024) Vol. 634, Iss. 8032, pp. 104-112
Open Access | Times Cited: 2
Multiome Perturb-seq unlocks scalable discovery of integrated perturbation effects on the transcriptome and epigenome
Eli Metzner, Kaden M. Southard, Thomas M. Norman
Cell Systems (2024)
Open Access | Times Cited: 2
Mapping enhancer-gene regulatory interactions from single-cell data
Maya U. Sheth, Wei‐Lin Qiu, X. Rosa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Linking regulatory variants to target genes by integrating single-cell multiome methods and genomic distance
Elizabeth Dorans, Karthik A. Jagadeesh, Kushal K. Dey, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
SCENT defines non-coding disease mechanisms using single-cell multi-omics
Saori Sakaue
Nature Reviews Genetics (2024) Vol. 25, Iss. 9, pp. 597-597
Closed Access
The Landscape and Function of Tissue-Biased Expressed Genes Across Human Cancers
Zhihang Chen, Zhuobin Lin, Hongyan Sun, et al.
(2024)
Closed Access
In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder
Weijia Jin, Yi Xia, Sai Ritesh Thela, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Characterization of non-coding variants associated with transcription factor binding through ATAC-seq-defined footprint QTLs in liver
Max F. Dudek, Brandon M. Wenz, Christopher D. Brown, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An attention-based deep neural network model to detect cis-regulatory elements at the single-cell level from multi-omics data
Murakami Ken, Keita Iida, Mariko Okada
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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