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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 test metric for assessing single-cell RNA-seq batch correction
Maren Büttner, Zhichao Miao, F. Alexander Wolf, et al.
Nature Methods (2018) Vol. 16, Iss. 1, pp. 43-49
Open Access | Times Cited: 371

Showing 1-25 of 371 citing articles:

Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan, et al.
Nature Methods (2019) Vol. 16, Iss. 12, pp. 1289-1296
Open Access | Times Cited: 5523
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Malte D. Luecken, Fabian J. Theis
Molecular Systems Biology (2019) Vol. 15, Iss. 6
Open Access | Times Cited: 1672
Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
Christopher S. Smillie, Moshe Biton, José Ordovás-Montañés, et al.
Cell (2019) Vol. 178, Iss. 3, pp. 714-730.e22
Open Access | Times Cited: 1047
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Hoa Tran, Kok Siong Ang, Marion Chevrier, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 828
Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Geng Chen, Baitang Ning, Tieliu Shi
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 797
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
Brian Hie, Bryan D. Bryson, Bonnie Berger
Nature Biotechnology (2019) Vol. 37, Iss. 6, pp. 685-691
Open Access | Times Cited: 738
Benchmarking atlas-level data integration in single-cell genomics
Malte D. Luecken, Maren Büttner, Kridsadakorn Chaichoompu, et al.
Nature Methods (2021) Vol. 19, Iss. 1, pp. 41-50
Open Access | Times Cited: 727
BBKNN: fast batch alignment of single cell transcriptomes
Krzysztof Polański, Matthew D. Young, Zhichao Miao, et al.
Bioinformatics (2019) Vol. 36, Iss. 3, pp. 964-965
Open Access | Times Cited: 708
Single-cell multi-omics analysis of the immune response in COVID-19
Emily Stephenson, Gary Reynolds, Rachel A. Botting, et al.
Nature Medicine (2021) Vol. 27, Iss. 5, pp. 904-916
Open Access | Times Cited: 597
Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancer
David Y. Oh, Serena S. Kwek, Siddharth S. Raju, et al.
Cell (2020) Vol. 181, Iss. 7, pp. 1612-1625.e13
Open Access | Times Cited: 553
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: 527
Methods and applications for single-cell and spatial multi-omics
Katy Vandereyken, Alejandro Sifrim, Bernard Thienpont, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 494-515
Open Access | Times Cited: 525
The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution
Orit Rozenblatt–Rosen, Aviv Regev, Philipp Oberdoerffer, et al.
Cell (2020) Vol. 181, Iss. 2, pp. 236-249
Open Access | Times Cited: 437
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: 401
An integrated cell atlas of the lung in health and disease
Lisa Sikkema, Ciro Ramírez-Suástegui, Daniel Strobl, et al.
Nature Medicine (2023) Vol. 29, Iss. 6, pp. 1563-1577
Open Access | Times Cited: 310
Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments
Luyi Tian, Xueyi Dong, Saskia Freytag, et al.
Nature Methods (2019) Vol. 16, Iss. 6, pp. 479-487
Open Access | Times Cited: 307
Exploring single-cell data with deep multitasking neural networks
Matthew Amodio, David van Dijk, Krishnan Srinivasan, et al.
Nature Methods (2019) Vol. 16, Iss. 11, pp. 1139-1145
Open Access | Times Cited: 284
Genetic mapping of cell type specificity for complex traits
Kyoko Watanabe, Maša Umićević Mirkov, Christiaan de Leeuw, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 282
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Juexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 270
Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function
Gökçen Eraslan, Eugene Drokhlyansky, Shankara Anand, et al.
Science (2022) Vol. 376, Iss. 6594
Open Access | Times Cited: 264
Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma
Chen Huang, Lijun Chen, Sara R. Savage, et al.
Cancer Cell (2021) Vol. 39, Iss. 3, pp. 361-379.e16
Open Access | Times Cited: 258
Plasticity of Epididymal Adipose Tissue in Response to Diet-Induced Obesity at Single-Nucleus Resolution
Anitta Kinga Sárvári, Elvira Laila Van Hauwaert, Lasse K. Markussen, et al.
Cell Metabolism (2020) Vol. 33, Iss. 2, pp. 437-453.e5
Open Access | Times Cited: 232
Functional interpretation of single cell similarity maps
David DeTomaso, Matthew G. Jones, Meena Subramaniam, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 220
Concepts and limitations for learning developmental trajectories from single cell genomics
Sophie Tritschler, Maren Büttner, David S. Fischer, et al.
Development (2019) Vol. 146, Iss. 12
Open Access | Times Cited: 204
Single-cell RNA sequencing shows the immunosuppressive landscape and tumor heterogeneity of HBV-associated hepatocellular carcinoma
Daniel Wai‐Hung Ho, Yu‐Man Tsui, Lo‐Kong Chan, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 204
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