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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:

Inferring microenvironmental regulation of gene expression from single-cell RNA sequencing data using scMLnet with an application to COVID-19
Jinyu Cheng, Ji Zhang, Zhongdao Wu, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 988-1005
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
Daniel Dimitrov, Dénes Türei, Martín Garrido‐Rodríguez, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 293
The landscape of cell–cell communication through single-cell transcriptomics
Axel A. Almet, Zixuan Cang, Suoqin Jin, et al.
Current Opinion in Systems Biology (2021) Vol. 26, pp. 12-23
Open Access | Times Cited: 146
Targeting TNF-α for COVID-19: Recent Advanced and Controversies
Yi Guo, Ke Hu, Yuxuan Li, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 105
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: 91
CellChat for systematic analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Suoqin Jin, Maksim V. Plikus, Qing Nie
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 91
Interrogating glioma-M2 macrophage interactions identifies Gal-9/Tim-3 as a viable target against PTEN -null glioblastoma
Xiangrong Ni, Wei-Chi Wu, Xiaoqiang Sun, et al.
Science Advances (2022) Vol. 8, Iss. 27
Open Access | Times Cited: 79
CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics
Suoqin Jin, Maksim V. Plikus, Qing Nie
Nature Protocols (2024)
Closed Access | Times Cited: 76
A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication
Changde Cheng, Wenan Chen, Hongjian Jin, et al.
Cells (2023) Vol. 12, Iss. 15, pp. 1970-1970
Open Access | Times Cited: 57
The diversification of methods for studying cell–cell interactions and communication
Erick Armingol, Hratch Baghdassarian, Nathan E. Lewis
Nature Reviews Genetics (2024) Vol. 25, Iss. 6, pp. 381-400
Closed Access | Times Cited: 51
SpatialDM for rapid identification of spatially co-expressed ligand–receptor and revealing cell–cell communication patterns
Zhuoxuan Li, Tianjie Wang, Pentao Liu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 45
Cell–cell communication: new insights and clinical implications
Jimeng Su, Ying Song, Zhipeng Zhu, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 31
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2
Xiaorui Su, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 70
The promising application of cell-cell interaction analysis in cancer from single-cell and spatial transcriptomics
Xinyi Wang, Axel A. Almet, Qing Nie
Seminars in Cancer Biology (2023) Vol. 95, pp. 42-51
Open Access | Times Cited: 34
Single-cell census of human tooth development enables generation of human enamel
Ammar Alghadeer, Sesha Hanson-Drury, Anjali P. Patni, et al.
Developmental Cell (2023) Vol. 58, Iss. 20, pp. 2163-2180.e9
Closed Access | Times Cited: 31
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis
Lihong Peng, Wei Xiong, Chendi Han, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 580-591
Closed Access | Times Cited: 24
Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis
Lihong Peng, Pengfei Gao, Wei Xiong, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108110-108110
Closed Access | Times Cited: 11
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
Navigating the landscapes of spatial transcriptomics: How computational methods guide the way
Runze Li, Xu Chen, Xuerui Yang
Wiley Interdisciplinary Reviews - RNA (2024) Vol. 15, Iss. 2
Closed Access | Times Cited: 8
Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with scSeqComm
Giacomo Baruzzo, Giulia Cesaro, Barbara Di Camillo
Bioinformatics (2022) Vol. 38, Iss. 7, pp. 1920-1929
Closed Access | Times Cited: 30
Single‐cell sequencing reveals the heterogeneity and intratumoral crosstalk in human endometrial cancer
Zhicheng Yu, Jun Zhang, Qi Zhang, et al.
Cell Proliferation (2022) Vol. 55, Iss. 6
Open Access | Times Cited: 30
Itaconate-producing neutrophils regulate local and systemic inflammation following trauma
Janna L. Crossley, Sonya Ostashevskaya-Gohstand, Stefano Comazzetto, et al.
JCI Insight (2023) Vol. 8, Iss. 20
Open Access | Times Cited: 20
Deciphering the immune modulation through deep transcriptomic profiling and therapeutic implications of DNA damage repair pattern in hepatocellular carcinoma
Weifeng Hong, Yang Zhang, Siwei Wang, et al.
Cancer Letters (2023) Vol. 582, pp. 216594-216594
Closed Access | Times Cited: 18
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs
Yongjian Yang, Guanxun Li, Yan Zhong, et al.
Cell Systems (2023) Vol. 14, Iss. 4, pp. 302-311.e4
Open Access | Times Cited: 17
ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods
Jiaxin Luo, Minghua Deng, Xuegong Zhang, et al.
Genome Research (2023) Vol. 33, Iss. 10, pp. 1788-1805
Open Access | Times Cited: 16
Fibronectin 1 derived from tumor-associated macrophages and fibroblasts promotes metastasis through the JUN pathway in hepatocellular carcinoma
Liwei Zhang, Cong Zhang, Zhengwei Xing, et al.
International Immunopharmacology (2022) Vol. 113, pp. 109420-109420
Closed Access | Times Cited: 24
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