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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 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: 830

Showing 1-25 of 830 citing articles:

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
Cross-tissue organization of the fibroblast lineage
Matthew B. Buechler, Rachana Pradhan, Akshay T. Krishnamurty, et al.
Nature (2021) Vol. 593, Iss. 7860, pp. 575-579
Open Access | Times Cited: 676
The digestive system is a potential route of 2019-nCov infection: a bioinformatics analysis based on single-cell transcriptomes
Hao Zhang, Zijian Kang, Haiyi Gong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 671
scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Lihua Zhang, Qing Nie
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 643
Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Sophia K. Longo, Margaret Guo, Andrew L. Ji, et al.
Nature Reviews Genetics (2021) Vol. 22, Iss. 10, pp. 627-644
Open Access | Times Cited: 634
Single‐cell RNA sequencing technologies and applications: A brief overview
Dragomirka Jovic, Xue Liang, Zeng Hua, et al.
Clinical and Translational Medicine (2022) Vol. 12, Iss. 3
Open Access | Times Cited: 576
Differential abundance testing on single-cell data using k-nearest neighbor graphs
Emma Dann, Neil C. Henderson, Sarah A. Teichmann, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 2, pp. 245-253
Open Access | Times Cited: 436
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: 436
Single-cell RNA sequencing highlights the role of inflammatory cancer-associated fibroblasts in bladder urothelial carcinoma
Zhaohui Chen, Lijie Zhou, Lilong Liu, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 428
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
Zizhen Yao, Cindy T. J. van Velthoven, Michael Kunst, et al.
Nature (2023) Vol. 624, Iss. 7991, pp. 317-332
Open Access | Times Cited: 328
Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
Zhi‐Jie Cao, Ge Gao
Nature Biotechnology (2022) Vol. 40, Iss. 10, pp. 1458-1466
Open Access | Times Cited: 283
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data
Fan Yang, Wenchuan Wang, Fang Wang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 10, pp. 852-866
Open Access | Times Cited: 236
Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
Andreas Bender, Isidro Cortés‐Ciriano
Drug Discovery Today (2020) Vol. 26, Iss. 2, pp. 511-524
Open Access | Times Cited: 219
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1470-1480
Open Access | Times Cited: 212
Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy
Satyen H. Gohil, J. Bryan Iorgulescu, David A. Braun, et al.
Nature Reviews Clinical Oncology (2020) Vol. 18, Iss. 4, pp. 244-256
Open Access | Times Cited: 196
Single-Cell Transcriptome Analysis in Plants: Advances and Challenges
Rahul Shaw, Xin Tian, Jian Xu
Molecular Plant (2020) Vol. 14, Iss. 1, pp. 115-126
Open Access | Times Cited: 186
IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation
Fan Zhang, Joseph R. Mears, Lorien Shakib, et al.
Genome Medicine (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 183
Navigating the pitfalls of applying machine learning in genomics
Sean Whalen, Jacob Schreiber, William Stafford Noble, et al.
Nature Reviews Genetics (2021) Vol. 23, Iss. 3, pp. 169-181
Closed Access | Times Cited: 177
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: 165
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: 154
Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance
Yanshuo Chu, Enyu Dai, Yating Li, et al.
Nature Medicine (2023) Vol. 29, Iss. 6, pp. 1550-1562
Closed Access | Times Cited: 153
Single-cell transcriptomics combined with interstitial fluid proteomics defines cell type–specific immune regulation in atopic dermatitis
Thomas B. Rojahn, Vera Vorstandlechner, Thomas Krausgruber, et al.
Journal of Allergy and Clinical Immunology (2020) Vol. 146, Iss. 5, pp. 1056-1069
Closed Access | Times Cited: 151
Single-cell transcriptomics in cancer: computational challenges and opportunities
Jean Fan, Kamil Slowikowski, Fan Zhang
Experimental & Molecular Medicine (2020) Vol. 52, Iss. 9, pp. 1452-1465
Open Access | Times Cited: 149
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: 148
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