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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:

Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies
Atefeh Lafzi, Cátia Moutinho, Simone Picelli, et al.
Nature Protocols (2018) Vol. 13, Iss. 12, pp. 2742-2757
Open Access | Times Cited: 179

Showing 1-25 of 179 citing articles:

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, et al.
European Journal of Immunology (2019) Vol. 49, Iss. 10, pp. 1457-1973
Open Access | Times Cited: 874
Best practices for single-cell analysis across modalities
Lukas Heumos, Anna C. Schaar, Christopher Lance, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 550-572
Open Access | Times Cited: 506
Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
Elisabetta Mereu, Atefeh Lafzi, Cátia Moutinho, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 6, pp. 747-755
Open Access | Times Cited: 419
Multiplexed single-cell proteomics using SCoPE2
Aleksandra A. Petelski, Emily H Emmott, Andrew Leduc, et al.
Nature Protocols (2021) Vol. 16, Iss. 12, pp. 5398-5425
Open Access | Times Cited: 180
Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods
Zoe A. Clarke, Tallulah Andrews, Jawairia Atif, et al.
Nature Protocols (2021) Vol. 16, Iss. 6, pp. 2749-2764
Open Access | Times Cited: 159
A single-cell tumor immune atlas for precision oncology
Paula Nieto, Marc Elosua-Bayés, Juan L. Trincado, et al.
Genome Research (2021) Vol. 31, Iss. 10, pp. 1913-1926
Open Access | Times Cited: 124
Applications of single-cell and bulk RNA sequencing in onco-immunology
M. Kuksin, Daphné Morel, Marine Aglave, et al.
European Journal of Cancer (2021) Vol. 149, pp. 193-210
Open Access | Times Cited: 109
Progress in multicellular human cardiac organoids for clinical applications
Hyeonyu Kim, Roger D. Kamm, Gordana Vunjak‐Novakovic, et al.
Cell stem cell (2022) Vol. 29, Iss. 4, pp. 503-514
Open Access | Times Cited: 81
Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 55
Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research
Getnet Molla Desta, Alemayehu Godana Birhanu
Acta Biochimica Polonica (2025) Vol. 72
Open Access | Times Cited: 5
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data
Máté E. Maros, David Capper, David Jones, et al.
Nature Protocols (2020) Vol. 15, Iss. 2, pp. 479-512
Closed Access | Times Cited: 113
DMSO cryopreservation is the method of choice to preserve cells for droplet-based single-cell RNA sequencing
Christian T. Wohnhaas, Germán Leparc, Francesc Fernández-Albert, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 97
Computational Methods for Single-Cell RNA Sequencing
Brian Hie, Joshua M. Peters, Sarah K. Nyquist, et al.
Annual Review of Biomedical Data Science (2020) Vol. 3, Iss. 1, pp. 339-364
Open Access | Times Cited: 90
Single Cell Analysis of Endothelial Cells Identified Organ-Specific Molecular Signatures and Heart-Specific Cell Populations and Molecular Features
Wei Feng, Lyuqin Chen, Patricia K. Nguyen, et al.
Frontiers in Cardiovascular Medicine (2019) Vol. 6
Open Access | Times Cited: 89
From bench to bedside: Single-cell analysis for cancer immunotherapy
Emily F. Davis-Marcisak, Atul Deshpande, Genevieve Stein-O’Brien, et al.
Cancer Cell (2021) Vol. 39, Iss. 8, pp. 1062-1080
Open Access | Times Cited: 84
TooManyCells identifies and visualizes relationships of single-cell clades
Gregory W. Schwartz, Yeqiao Zhou, Jelena Petrovic, et al.
Nature Methods (2020) Vol. 17, Iss. 4, pp. 405-413
Open Access | Times Cited: 83
Megakaryocyte and Platelet Transcriptomics for Discoveries in Human Health and Disease
Pavel Davizon‐Castillo, Jesse W. Rowley, Matthew T. Rondina
Arteriosclerosis Thrombosis and Vascular Biology (2020) Vol. 40, Iss. 6, pp. 1432-1440
Open Access | Times Cited: 76
Review of Single-Cell RNA Sequencing in the Heart
Shintaro Yamada, Seitaro Nomura
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 21, pp. 8345-8345
Open Access | Times Cited: 72
Benchmarking algorithms for pathway activity transformation of single-cell RNA-seq data
Yaru Zhang, Yunlong Ma, Yukuan Huang, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2953-2961
Open Access | Times Cited: 70
ACME dissociation: a versatile cell fixation-dissociation method for single-cell transcriptomics
Helena García-Castro, Nathan J. Kenny, Marta Iglesias, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 70
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
Katharina T. Schmid, Barbara Höllbacher, Cristiana Cruceanu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 62
Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy
Maria Lucia Richter, Ioannis K. Deligiannis, Kelvin Yin, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 61
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
Estimation of Wasserstein distances in the Spiked Transport Model
Jonathan Niles‐Weed, Philippe Rigollet
Bernoulli (2022) Vol. 28, Iss. 4
Open Access | Times Cited: 58
Connecting past and present: single-cell lineage tracing
Cheng Chen, Yuanxin Liao, Guangdun Peng
Protein & Cell (2022) Vol. 13, Iss. 11, pp. 790-807
Open Access | Times Cited: 55
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