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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:

IDEAS: individual level differential expression analysis for single-cell RNA-seq data
Mengqi Zhang, Si Liu, Zhen Miao, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Single-cell RNA-Seq of human esophageal epithelium in homeostasis and allergic inflammation
Mark Rochman, Ting Wen, Michael Kotliar, et al.
JCI Insight (2022) Vol. 7, Iss. 11
Open Access | Times Cited: 54
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 10
Differential Expression Analysis of Single-Cell RNA-Seq Data: Current Statistical Approaches and Outstanding Challenges
Samarendra Das, Anil Rai, N. Shesh
Entropy (2022) Vol. 24, Iss. 7, pp. 995-995
Open Access | Times Cited: 26
Differential expression of single‐cell RNA‐seq data using Tweedie models
Himel Mallick, Suvo Chatterjee, Shrabanti Chowdhury, et al.
Statistics in Medicine (2022) Vol. 41, Iss. 18, pp. 3492-3510
Open Access | Times Cited: 22
Biases in machine-learning models of human single-cell data
Theresa Willem, Vladimir A. Shitov, Malte D. Luecken, et al.
Nature Cell Biology (2025)
Closed Access
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
Jin‐Hong Du, Zhenghao Zeng, Edward H. Kennedy, et al.
Journal of the American Statistical Association (2025), pp. 1-24
Closed Access
Dissecting tumor cell programs through group biology estimation in clinical single-cell transcriptomics
Shreya Johri, Kevin Bi, Breanna M. Titchen, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Predicting and comparing transcription start sites in single cell populations
Shiwei Fu, Wei Vivian Li
PLoS Computational Biology (2025) Vol. 21, Iss. 4, pp. e1012878-e1012878
Open Access
Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells
Ana Gutiérrez-Franco, Franz Ake, Mohamed N. Hassan, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Recommendations of scRNA-seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking
Jake Gagnon, Lira Pi, Matthew Ryals, et al.
Life (2022) Vol. 12, Iss. 6, pp. 850-850
Open Access | Times Cited: 16
An integrated Bayesian framework for multi‐omics prediction and classification
Himel Mallick, Anupreet Porwal, Satabdi Saha, et al.
Statistics in Medicine (2023) Vol. 43, Iss. 5, pp. 983-1002
Open Access | Times Cited: 10
Understanding the function of regulatory DNA interactions in the interpretation of non-coding GWAS variants
Wujuan Zhong, Weifang Liu, Jiawen Chen, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 14
Visualizing scRNA-Seq data at population scale with GloScope
Hao Wang, William Torous, Boying Gong, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Immunological characteristics of bronchoalveolar lavage fluid and blood across connective tissue disease-associated interstitial lung diseases
Aiko Hirano, Aki Sakashita, Wataru Fujii, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2
The progressive application of single-cell RNA sequencing technology in cardiovascular diseases
Ke Yang, Jian-Yuan Huang, Ping Zhou, et al.
Biomedicine & Pharmacotherapy (2022) Vol. 154, pp. 113604-113604
Open Access | Times Cited: 9
Analysis of Single-Cell RNA-seq Data
Xiaoru Dong, Rhonda Bacher
Methods in molecular biology (2023), pp. 95-114
Closed Access | Times Cited: 5
Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity
Yuliangzi Sun, Woo Jun Shim, Sophie Shen, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 11, pp. e62-e62
Open Access | Times Cited: 5
Differential Expression Analysis
Khalid Raza
SpringerBriefs in applied sciences and technology (2024), pp. 47-61
Closed Access | Times Cited: 1
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studies
Xiya Guo, Jin Ning, Yuanze Chen, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 2, pp. 95-109
Closed Access | Times Cited: 4
Chromatin region binning of gene expression for improving embryo cell subtype identification
Pengfei Liang, Hanshuang Li, Chunshen Long, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108049-108049
Closed Access | Times Cited: 1
eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings
Kevin Lin, Yixuan Qiu, Kathryn Roeder
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
BSDE: barycenter single-cell differential expression for case–control studies
Mengqi Zhang, F Richard Guo
Bioinformatics (2022) Vol. 38, Iss. 10, pp. 2765-2772
Open Access | Times Cited: 7
Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures with Application to Single Cell Genomics
Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, et al.
Journal of the American Statistical Association (2022) Vol. 119, Iss. 545, pp. 394-406
Open Access | Times Cited: 6
Nonparametric Mixture MLEs Under Gaussian-Smoothed Optimal Transport Distance
Fang Han, Zhen Miao, Yandi Shen
IEEE Transactions on Information Theory (2023) Vol. 69, Iss. 12, pp. 7823-7835
Open Access | Times Cited: 3
A critical assessment of clustering algorithms to improve cell clustering and identification in single-cell transcriptome study
Liang Xiao, Lijie Cao, Hao Chen, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 3
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