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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:

SCALE: modeling allele-specific gene expression by single-cell RNA sequencing
Yuchao Jiang, Nancy Zhang, Mingyao Li
Genome biology (2017) Vol. 18, Iss. 1
Open Access | Times Cited: 103

Showing 26-50 of 103 citing articles:

Single-cell analysis reveals X upregulation is not global in pre-gastrulation embryos
Hemant Chandru Naik, Kishore Hari, Deepshikha Chandel, et al.
iScience (2022) Vol. 25, Iss. 6, pp. 104465-104465
Open Access | Times Cited: 17
Reconstructing clonal tree for phylo-phenotypic characterization of cancer using single-cell transcriptomics
Seong-Hwan Jun, Hosein Toosi, Jeff E. Mold, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Canopy2: Tumor Phylogeny Inference by Bulk DNA and Single-Cell RNA Sequencing
Ann Marie Weideman, Rujin Wang, Joseph G. Ibrahim, et al.
Statistics in Biosciences (2025)
Open Access
Cell-cycle dependence of bursty gene expression: insights from fitting mechanistic models to single-cell RNA-seq data
Augustinas Sukys, Ramon Grima
Nucleic Acids Research (2025) Vol. 53, Iss. 7
Open Access
Studying cis-regulatory heterogeneity in single-cells at allelic resolution
Veronika Petrova, Ming Niu, Thomas Vierbuchen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease Heterogeneity
Tao Zeng, Hao Dai
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 28
Altered force generation and cell-to-cell contractile imbalance in hypertrophic cardiomyopathy
Theresia Kraft, Judith Montag
Pflügers Archiv - European Journal of Physiology (2019) Vol. 471, Iss. 5, pp. 719-733
Open Access | Times Cited: 27
scDALI: modeling allelic heterogeneity in single cells reveals context-specific genetic regulation
Tobias Heinen, Stefano Secchia, James P. Reddington, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 15
EPIC: Inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing
Rujin Wang, Dan-Yu Lin, Yuchao Jiang
PLoS Genetics (2022) Vol. 18, Iss. 6, pp. e1010251-e1010251
Open Access | Times Cited: 15
STmut: a framework for visualizing somatic alterations in spatial transcriptomics data of cancer
Limin Chen, Darwin Chang, Bishal Tandukar, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 9
Single-cell genomics and regulatory networks for 388 human brains
Prashant S. Emani, Jason J. Liu, Declan Clarke, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Allele-specific single-cell RNA sequencing reveals different architectures of intrinsic and extrinsic gene expression noises
Mengyi Sun, Jianzhi Zhang
Nucleic Acids Research (2019) Vol. 48, Iss. 2, pp. 533-547
Open Access | Times Cited: 25
A Bayesian mixture model for the analysis of allelic expression in single cells
Kwangbom Choi, Narayanan Raghupathy, Gary A. Churchill
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 24
Applications of single-cell genomics and computational strategies to study common disease and population-level variation
Benjamin J. Auerbach, Jian Hu, Muredach P. Reilly, et al.
Genome Research (2021) Vol. 31, Iss. 10, pp. 1728-1741
Open Access | Times Cited: 20
Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets
Wancen Mu, Hirak Sarkar, Avi Srivastava, et al.
Bioinformatics (2022) Vol. 38, Iss. 10, pp. 2773-2780
Open Access | Times Cited: 13
Prediction of HLA genotypes from single-cell transcriptome data
Benjamin D. Solomon, Hong Zheng, Laura W. Dillon, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 8
Bridging scales: From cell biology to physiology using in situ single-cell technologies
Maeve P. Nagle, Gabriela S. Tam, Evan Maltz, et al.
Cell Systems (2021) Vol. 12, Iss. 5, pp. 388-400
Open Access | Times Cited: 15
BISC: accurate inference of transcriptional bursting kinetics from single-cell transcriptomic data
Xizhi Luo, Fei Qin, Feifei Xiao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 11
Epigenomic states contribute to coordinated allelic transcriptional bursting in iPSC reprogramming
Parichitran Ayyamperumal, Hemant Chandru Naik, Amlan Jyoti Naskar, et al.
Life Science Alliance (2024) Vol. 7, Iss. 4, pp. e202302337-e202302337
Open Access | Times Cited: 2
SCDC: Bulk Gene Expression Deconvolution by Multiple Single-Cell RNA Sequencing References
Meichen Dong, Aatish Thennavan, Eugene Urrutia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 17
A New Hypothesis for Type 1 Diabetes Risk: The At-Risk Allele at rs3842753 Associates With Increased Beta-Cell INS Messenger RNA in a Meta-Analysis of Single-Cell RNA-Sequencing Data
Su Wang, Stéphane Flibotte, Joan Camuñas-Soler, et al.
Canadian Journal of Diabetes (2021) Vol. 45, Iss. 8, pp. 775-784.e2
Open Access | Times Cited: 14
Semicoordinated allelic-bursting shape dynamic random monoallelic expression in pregastrulation embryos
Hemant Chandru Naik, Kishore Hari, Deepshikha Chandel, et al.
iScience (2021) Vol. 24, Iss. 9, pp. 102954-102954
Open Access | Times Cited: 14
scAllele: A versatile tool for the detection and analysis of variants in scRNA-seq
Giovanni Quinones-Valdez, Ting Fu, Tracey W. Chan, et al.
Science Advances (2022) Vol. 8, Iss. 35
Open Access | Times Cited: 10
Development and application of an integrated allele-specific pipeline for methylomic and epigenomic analysis (MEA)
Julien Richard Albert, Tasuku Koike, Hamid Younesy, et al.
BMC Genomics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 16
Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis
Dejian Zhao, Mingyan Lin, Erika Pedrosa, et al.
BMC Genomics (2017) Vol. 18, Iss. 1
Open Access | Times Cited: 15

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