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 curated database reveals trends in single-cell transcriptomics
Valentine Svensson, Eduardo da Veiga Beltrame, Lior Pachter
Database (2020) Vol. 2020
Open Access | Times Cited: 194

Showing 1-25 of 194 citing articles:

Dictionary learning for integrative, multimodal and scalable single-cell analysis
Yuhan Hao, Tim Stuart, Madeline H. Kowalski, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 2, pp. 293-304
Open Access | Times Cited: 1322

Confronting false discoveries in single-cell differential expression
Jordan W. Squair, Matthieu Gautier, Claudia Kathe, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 605

Cross-tissue immune cell analysis reveals tissue-specific features in humans
Cecilia Domínguez Conde, Chuan Xu, Lorna B. Jarvis, et al.
Science (2022) Vol. 376, Iss. 6594
Open Access | Times Cited: 577

A Python library for probabilistic analysis of single-cell omics data
Adam Gayoso, Romain Lopez, Galen Xing, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 2, pp. 163-166
Open Access | Times Cited: 425

Cross-tissue single-cell landscape of human monocytes and macrophages in health and disease
Kevin Mulder, Amit A. Patel, Wan Ting Kong, et al.
Immunity (2021) Vol. 54, Iss. 8, pp. 1883-1900.e5
Open Access | Times Cited: 415

Transfer learning enables predictions in network biology
Christina V. Theodoris, Ling Xiao, Anant Chopra, et al.
Nature (2023) Vol. 618, Iss. 7965, pp. 616-624
Open Access | Times Cited: 379

What is a cell type and how to define it?
Hongkui Zeng
Cell (2022) Vol. 185, Iss. 15, pp. 2739-2755
Open Access | Times Cited: 278

Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain
Samuel E. Marsh, Alec J. Walker, Tushar Kamath, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 3, pp. 306-316
Open Access | Times Cited: 268

WormBase in 2022—data, processes, and tools for analyzing Caenorhabditis elegans
Paul A. Davis, Magdalena Zarowiecki, Valerio Arnaboldi, et al.
Genetics (2022) Vol. 220, Iss. 4
Open Access | Times Cited: 249

The triumphs and limitations of computational methods for scRNA-seq
Peter V. Kharchenko
Nature Methods (2021) Vol. 18, Iss. 7, pp. 723-732
Closed Access | Times Cited: 228

Applications of single-cell RNA sequencing in drug discovery and development
Bram Van de Sande, Joon Sang Lee, Euphemia Mutasa-Gottgens, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 6, pp. 496-520
Open Access | Times Cited: 199

Efficient and precise single-cell reference atlas mapping with Symphony
Joyce B. Kang, Aparna Nathan, Kathryn Weinand, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 163

Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Luke Zappia, Fabian J. Theis
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 117

Dictionary learning for integrative, multimodal, and scalable single-cell analysis
Yuhan Hao, Tim Stuart, Madeline H. Kowalski, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 110

Single-cell genomics meets human genetics
Anna Cuomo, Aparna Nathan, Soumya Raychaudhuri, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 535-549
Closed Access | Times Cited: 72

Computational Approaches and Challenges in Spatial Transcriptomics
Shuangsang Fang, Bichao Chen, Yong Zhang, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 21, Iss. 1, pp. 24-47
Open Access | Times Cited: 71

Alevin-fry unlocks rapid, accurate and memory-frugal quantification of single-cell RNA-seq data
Dongze He, Mohsen Zakeri, Hirak Sarkar, et al.
Nature Methods (2022) Vol. 19, Iss. 3, pp. 316-322
Open Access | Times Cited: 70

Single-cell immunology: Past, present, and future
Florent Ginhoux, Adam Yalin, Charles‐Antoine Dutertre, et al.
Immunity (2022) Vol. 55, Iss. 3, pp. 393-404
Open Access | Times Cited: 70

Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective
Lance M. O’Connor, Blake A. O’Connor, Su Bin Lim, et al.
Journal of Pharmaceutical Analysis (2023) Vol. 13, Iss. 8, pp. 836-850
Open Access | Times Cited: 48

scPerturb: harmonized single-cell perturbation data
Stefan Peidli, Tessa D. Green, Ciyue Shen, et al.
Nature Methods (2024) Vol. 21, Iss. 3, pp. 531-540
Open Access | Times Cited: 48

Mapping human adult hippocampal neurogenesis with single-cell transcriptomics: Reconciling controversy or fueling the debate?
Giorgia Tosoni, Dilara Ayyildiz, Julien Bryois, et al.
Neuron (2023) Vol. 111, Iss. 11, pp. 1714-1731.e3
Open Access | Times Cited: 45

Reactive astrogliosis in the era of single-cell transcriptomics
Zuzana Matusova, Elly M. Hol, Milos Pekny, et al.
Frontiers in Cellular Neuroscience (2023) Vol. 17
Open Access | Times Cited: 41

A comparison of marker gene selection methods for single-cell RNA sequencing data
Jeffrey M. Pullin, Davis J. McCarthy
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 37

Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Gunsagar S. Gulati, Jeremy Philip D’Silva, Yunhe Liu, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 26, Iss. 1, pp. 11-31
Closed Access | Times Cited: 31

Mapping single-cell developmental potential in health and disease with interpretable deep learning
Minji Kang, José Juan Almagro Armenteros, Gunsagar S. Gulati, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 26

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