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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:

Deciphering cell–cell interactions and communication from gene expression
Erick Armingol, Adam Officer, Olivier Harismendy, et al.
Nature Reviews Genetics (2020) Vol. 22, Iss. 2, pp. 71-88
Open Access | Times Cited: 914

Showing 51-75 of 914 citing articles:

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: 44
A molecularly defined and spatially resolved cell atlas of the whole mouse brain
Meng Zhang, Xingjie Pan, Won Jung, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 43
Cellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology
Petra Kukanja, Christoffer Mattsson Langseth, Leslie A. Kirby, et al.
Cell (2024) Vol. 187, Iss. 8, pp. 1990-2009.e19
Open Access | Times Cited: 36
Hallmarks of stemness in mammalian tissues
Joep Beumer, Hans Clevers
Cell stem cell (2024) Vol. 31, Iss. 1, pp. 7-24
Open Access | Times Cited: 28
LIANA+ provides an all-in-one framework for cell–cell communication inference
Daniel Dimitrov, Philipp Schäfer, Elias Farr, et al.
Nature Cell Biology (2024) Vol. 26, Iss. 9, pp. 1613-1622
Open Access | Times Cited: 28
Single-cell CAR T atlas reveals type 2 function in 8-year leukaemia remission
Zhiliang Bai, Bing Feng, Susan McClory, et al.
Nature (2024) Vol. 634, Iss. 8034, pp. 702-711
Open Access | Times Cited: 20
Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor–immune hubs
Siyu He, Yinuo Jin, Achille Nazaret, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 19
Multi‑omics identification of a signature based on malignant cell-associated ligand–receptor genes for lung adenocarcinoma
Shengshan Xu, Xiguang Chen, Haoxuan Ying, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 19
Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system
Philipp Schäfer, Daniel Dimitrov, Eduardo J. Villablanca, et al.
Nature Immunology (2024) Vol. 25, Iss. 3, pp. 405-417
Closed Access | Times Cited: 18
Revealing microRNA regulation in single cells
Ranjan Kumar Maji, Matthias S. Leisegang, Reinier A. Boon, et al.
Trends in Genetics (2025)
Open Access | Times Cited: 3
Contribution of tumor microenvironment (TME) to tumor apoptosis, angiogenesis, metastasis, and drug resistance
Yanhong Xiao, M Hassani, Melina Barahouei Moghaddam, et al.
Medical Oncology (2025) Vol. 42, Iss. 4
Closed Access | Times Cited: 3
Metformin, Macrophage Dysfunction and Atherosclerosis
Xiaojun Feng, Wenxu Chen, Xiayun Ni, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 94
Interpretable systems biomarkers predict response to immune-checkpoint inhibitors
Óscar Lapuente-Santana, Maisa N.G. van Genderen, P.A.J. Hilbers, et al.
Patterns (2021) Vol. 2, Iss. 8, pp. 100293-100293
Open Access | Times Cited: 93
Immune cell profiling in atherosclerosis: role in research and precision medicine
Dawn Fernandez, Chiara Giannarelli
Nature Reviews Cardiology (2021) Vol. 19, Iss. 1, pp. 43-58
Open Access | Times Cited: 91
CancerSCEM: a database of single-cell expression map across various human cancers
Jingyao Zeng, Yadong Zhang, Yunfei Shang, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1147-D1155
Open Access | Times Cited: 84
Single-cell and bulk transcriptomics of the liver reveals potential targets of NASH with fibrosis
Zhongyi Wang, Adrian Keogh, Annick Waldt, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 79
Statistical and machine learning methods for spatially resolved transcriptomics with histology
Jian Hu, Amelia Schroeder, Kyle Coleman, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3829-3841
Open Access | Times Cited: 72
Reconfigurable microfluidics
Federico Paratore, Vesna Bacheva, Moran Bercovici, et al.
Nature Reviews Chemistry (2021) Vol. 6, Iss. 1, pp. 70-80
Closed Access | Times Cited: 72
Context-aware deconvolution of cell–cell communication with Tensor-cell2cell
Erick Armingol, Hratch Baghdassarian, Cameron Martino, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 69
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies
Lihong Peng, Feixiang Wang, Zhao Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 68
Pan-Cancer Analysis of Ligand–Receptor Cross-talk in the Tumor Microenvironment
Umesh Ghoshdastider, Neha Rohatgi, Marjan Mojtabavi Naeini, et al.
Cancer Research (2021) Vol. 81, Iss. 7, pp. 1802-1812
Open Access | Times Cited: 62
Modelling metabolic diseases and drug response using stem cells and organoids
Wenxiang Hu, Mitchell A. Lazar
Nature Reviews Endocrinology (2022) Vol. 18, Iss. 12, pp. 744-759
Open Access | Times Cited: 60
Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
Min‐Ying Su, Tao Pan, Qiu-Zhen Chen, et al.
Military Medical Research (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 60
Droplet flow cytometry for single-cell analysis
Ming Li, Hangrui Liu, Siyuan Zhuang, et al.
RSC Advances (2021) Vol. 11, Iss. 34, pp. 20944-20960
Open Access | Times Cited: 59
Comprehensive visualization of cell–cell interactions in single-cell and spatial transcriptomics with NICHES
Micha Sam Brickman Raredon, Junchen Yang, Neeharika Kothapalli, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 58

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