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:

Integrative analyses of single-cell transcriptome and regulome using MAESTRO
Chenfei Wang, Dongqing Sun, Xin Huang, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 159

Showing 1-25 of 159 citing articles:

TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment
Dongqing Sun, Jin Wang, Ya Han, et al.
Nucleic Acids Research (2020) Vol. 49, Iss. D1, pp. D1420-D1430
Open Access | Times Cited: 787

Computational principles and challenges in single-cell data integration
Ricard Argelaguet, Anna Cuomo, Oliver Stegle, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 10, pp. 1202-1215
Closed Access | Times Cited: 334

TISCH2: expanded datasets and new tools for single-cell transcriptome analyses of the tumor microenvironment
Ya Han, Yuting Wang, Xin Dong, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D1425-D1431
Open Access | Times Cited: 273

CellCall: integrating paired ligand–receptor and transcription factor activities for cell–cell communication
Yang Zhang, Tianyuan Liu, Xuesong Hu, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 15, pp. 8520-8534
Open Access | Times Cited: 186

Multi-omics integration in the age of million single-cell data
Zhen Miao, Benjamin D. Humphreys, Andrew P. McMahon, et al.
Nature Reviews Nephrology (2021) Vol. 17, Iss. 11, pp. 710-724
Open Access | Times Cited: 157

Functional inference of gene regulation using single-cell multi-omics
Vinay K. Kartha, Fabiana M. Duarte, Yan Hu, et al.
Cell Genomics (2022) Vol. 2, Iss. 9, pp. 100166-100166
Open Access | Times Cited: 146

In vivo CRISPR screens identify the E3 ligase Cop1 as a modulator of macrophage infiltration and cancer immunotherapy target
Xiaoqing Wang, Collin Tokheim, Shengqing Gu, et al.
Cell (2021) Vol. 184, Iss. 21, pp. 5357-5374.e22
Open Access | Times Cited: 137

Chromatin accessibility profiling methods
Liesbeth Minnoye, Georgi K. Marinov, Thomas Krausgruber, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 135

BABEL enables cross-modality translation between multiomic profiles at single-cell resolution
Kevin Wu, Kathryn E. Yost, Howard Y. Chang, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 15
Open Access | Times Cited: 105

Fast alignment and preprocessing of chromatin profiles with Chromap
Haowen Zhang, Li Song, Xiaotao Wang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 104

Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Zhaoyang Liu, Dongqing Sun, Chenfei Wang
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 92

Accurate and fast cell marker gene identification with COSG
Min Dai, Xiaobing Pei, Xiu‐Jie Wang
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 91

Single-cell biological network inference using a heterogeneous graph transformer
Anjun Ma, Xiaoying Wang, Jingxian Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 91

Single cell cancer epigenetics
Marta Casado-Peláez, Alberto Bueno-Costa, Manel Esteller
Trends in cancer (2022) Vol. 8, Iss. 10, pp. 820-838
Open Access | Times Cited: 77

Identification of the novel exhausted T cell CD8 + markers in breast cancer
Hengrui Liu, Angela Dong, Ayana Meegol Rasteh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 44

MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer
Xiaoying Wang, Maoteng Duan, Jingxian Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17

scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization
Bowen Zhao, Kailu Song, Dong‐Qing Wei, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 2

Integrated computational analysis identifies therapeutic targets with dual action in cancer cells and T cells
Ce Luo, Rui Zhang, Rui Guo, et al.
Immunity (2025)
Closed Access | Times Cited: 2

EpiScanpy: integrated single-cell epigenomic analysis
Anna Danese, Maria Lucia Richter, Kridsadakorn Chaichoompu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 99

Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis
Mark C. Blaser, Simon Kraler, Thomas F. Lüscher, et al.
Circulation Research (2021) Vol. 128, Iss. 9, pp. 1371-1397
Open Access | Times Cited: 74

Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine
Yunjin Li, Lu Ma, Duojiao Wu, et al.
Briefings in Bioinformatics (2021)
Closed Access | Times Cited: 66

Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Kai Cao, Yiguang Hong, Lin Wan
Bioinformatics (2021) Vol. 38, Iss. 1, pp. 211-219
Open Access | Times Cited: 66

Comprehensive assessment of cellular senescence in the tumor microenvironment
Xiaoman Wang, Lifei Ma, Xiaoya Pei, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 66

Machine Intelligence in Single-Cell Data Analysis: Advances and New Challenges
Jiajia Liu, Zhiwei Fan, Weiling Zhao, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 56

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