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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:

A systematic evaluation of single cell RNA-seq analysis pipelines
Beate Vieth, Swati Parekh, Christoph Ziegenhain, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 237

Showing 1-25 of 237 citing articles:

Eleven grand challenges in single-cell data science
David Lähnemann, Johannes Köster, Ewa Szczurek, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 990
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: 427
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
Tallulah Andrews, Vladimir Yu Kiselev, Davis J. McCarthy, et al.
Nature Protocols (2020) Vol. 16, Iss. 1, pp. 1-9
Closed Access | Times Cited: 238
A systematic evaluation of single-cell RNA-sequencing imputation methods
Wenpin Hou, Zhicheng Ji, Hongkai Ji, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 232
Dual ontogeny of disease-associated microglia and disease inflammatory macrophages in aging and neurodegeneration
Aymeric Silvin, Stefan Uderhardt, Cécile Piot, et al.
Immunity (2022) Vol. 55, Iss. 8, pp. 1448-1465.e6
Open Access | Times Cited: 192
A practical solution to pseudoreplication bias in single-cell studies
Kip D. Zimmerman, Mark A. Espeland, Carl D. Langefeld
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 175
Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease
Monika Piwecka, Nikolaus Rajewsky, Agnieszka Rybak-Wolf
Nature Reviews Neurology (2023) Vol. 19, Iss. 6, pp. 346-362
Open Access | Times Cited: 131
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: 100
DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data
Livnat Jerby‐Arnon, Aviv Regev
Nature Biotechnology (2022) Vol. 40, Iss. 10, pp. 1467-1477
Open Access | Times Cited: 72
Longitudinal liver sampling in patients with chronic hepatitis B starting antiviral therapy reveals hepatotoxic CD8+ T cells
Shirin Nkongolo, Deeqa Mahamed, Adrian Kuipery, et al.
Journal of Clinical Investigation (2023) Vol. 133, Iss. 1
Open Access | Times Cited: 50
A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 22
Single-cell analyses of aging, inflammation and senescence
Bora Uyar, Daniel H. Palmer, Axel Kowald, et al.
Ageing Research Reviews (2020) Vol. 64, pp. 101156-101156
Open Access | Times Cited: 129
pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools
Pierre‐Luc Germain, Anthony Sonrel, Mark D. Robinson
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 94
Genome-wide kinetic properties of transcriptional bursting in mouse embryonic stem cells
Hiroshi Ochiai, Tetsutaro Hayashi, Mana Umeda, et al.
Science Advances (2020) Vol. 6, Iss. 25
Open Access | Times Cited: 92
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: 89
Patch-seq: Past, Present, and Future
Marcela Lipovsek, Cédric Bardy, Cathryn R. Cadwell, et al.
Journal of Neuroscience (2021) Vol. 41, Iss. 5, pp. 937-946
Open Access | Times Cited: 85
Cross-species RNA-seq for deciphering host–microbe interactions
Alexander J. Westermann, Jörg Vogel
Nature Reviews Genetics (2021) Vol. 22, Iss. 6, pp. 361-378
Open Access | Times Cited: 82
Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment
Catherine Gutierrez, Aziz Al’Khafaji, Eric Brenner, et al.
Nature Cancer (2021) Vol. 2, Iss. 7, pp. 758-772
Open Access | Times Cited: 77
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: 71
Sampling time-dependent artifacts in single-cell genomics studies
Ramon Massoni-Badosa, Giovanni Iacono, Cátia Moutinho, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 71
Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data
Kayla A Johnson, Arjun Krishnan
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 62
Prime-seq, efficient and powerful bulk RNA sequencing
Aleksandar Janjic, Lucas E. Wange, Johannes Bagnoli, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 52
Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data
Sini Junttila, Johannes Smolander, Laura L. Elo
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 40
NF-κB perturbation reveals unique immunomodulatory functions in Prx1 + fibroblasts that promote development of atopic dermatitis
Kang I. Ko, Jean Merlet, Brett P. DerGarabedian, et al.
Science Translational Medicine (2022) Vol. 14, Iss. 630
Open Access | Times Cited: 37
Single-cell and single-nuclei RNA sequencing as powerful tools to decipher cellular heterogeneity and dysregulation in neurodegenerative diseases
Raquel Cuevas‐Díaz Durán, Juan Carlos González-Orozco, Iván Velasco, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 35
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