Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
Christopher S. McGinnis, David M. Patterson, Juliane Winkler, et al.
Nature Methods (2019) Vol. 16, Iss. 7, pp. 619-626
Open Access | Times Cited: 553

Showing 1-25 of 553 citing articles:

DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors
Christopher S. McGinnis, Lyndsay M. Murrow, Zev J. Gartner
Cell Systems (2019) Vol. 8, Iss. 4, pp. 329-337.e4
Open Access | Times Cited: 2543
Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data
Samuel L. Wolock, Romain Lopez, Allon M. Klein
Cell Systems (2019) Vol. 8, Iss. 4, pp. 281-291.e9
Open Access | Times Cited: 1744
Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics
Marlon Stoeckius, Shiwei Zheng, Brian Houck‐Loomis, et al.
Genome biology (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 861
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: 631
Identification of Required Host Factors for SARS-CoV-2 Infection in Human Cells
Zharko Daniloski, Tristan X. Jordan, Hans‐Hermann Wessels, et al.
Cell (2020) Vol. 184, Iss. 1, pp. 92-105.e16
Open Access | Times Cited: 562
SARS-CoV-2 Orf6 hijacks Nup98 to block STAT nuclear import and antagonize interferon signaling
Lisa Miorin, Thomas Kehrer, María Teresa Sánchez-Aparicio, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 45, pp. 28344-28354
Open Access | Times Cited: 495
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
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
Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes
Haynes Heaton, Arthur M. Talman, Andrew Knights, et al.
Nature Methods (2020) Vol. 17, Iss. 6, pp. 615-620
Open Access | Times Cited: 352
Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells
Eleni P. Mimitou, Caleb A. Lareau, Kelvin Y. Chen, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 10, pp. 1246-1258
Open Access | Times Cited: 349
Massively multiplex chemical transcriptomics at single-cell resolution
Sanjay Srivatsan, José L. McFaline‐Figueroa, Vijay Ramani, et al.
Science (2019) Vol. 367, Iss. 6473, pp. 45-51
Open Access | Times Cited: 272
Spatially confined sub-tumor microenvironments in pancreatic cancer
Barbara T. Grünwald, Antoine Devisme, Geoffroy Andrieux, et al.
Cell (2021) Vol. 184, Iss. 22, pp. 5577-5592.e18
Open Access | Times Cited: 270
Single‐cell RNA sequencing in cancer research
Yijie Zhang, Dan Wang, Peng Miao, et al.
Journal of Experimental & Clinical Cancer Research (2021) Vol. 40, Iss. 1
Open Access | Times Cited: 231
Doublet identification in single-cell sequencing data using scDblFinder
Pierre‐Luc Germain, Aaron T. L. Lun, Carlos Garcia Meixide, et al.
F1000Research (2022) Vol. 10, pp. 979-979
Open Access | Times Cited: 218
Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
Yuanhua Huang, Davis J. McCarthy, Oliver Stegle
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 216
Second-Strand Synthesis-Based Massively Parallel scRNA-Seq Reveals Cellular States and Molecular Features of Human Inflammatory Skin Pathologies
Travis Hughes, Marc H. Wadsworth, Todd M. Gierahn, et al.
Immunity (2020) Vol. 53, Iss. 4, pp. 878-894.e7
Open Access | Times Cited: 215
Single-cell epigenomics reveals mechanisms of human cortical development
Ryan Ziffra, Chang N. Kim, Jayden M. Ross, et al.
Nature (2021) Vol. 598, Iss. 7879, pp. 205-213
Open Access | Times Cited: 212
scds: computational annotation of doublets in single-cell RNA sequencing data
Abha Bais, Dennis Kostka
Bioinformatics (2019) Vol. 36, Iss. 4, pp. 1150-1158
Open Access | Times Cited: 204
Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution
Dian Yang, Matthew G. Jones, Santiago Naranjo, et al.
Cell (2022) Vol. 185, Iss. 11, pp. 1905-1923.e25
Open Access | Times Cited: 200
Context specificity of the EMT transcriptional response
David P. Cook, Barbara C. Vanderhyden
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 197
Ultra-high-throughput single-cell RNA sequencing and perturbation screening with combinatorial fluidic indexing
Paul Datlinger, André F. Rendeiro, Thorina Boenke, et al.
Nature Methods (2021) Vol. 18, Iss. 6, pp. 635-642
Open Access | Times Cited: 181
Utilizing graph machine learning within drug discovery and development
Thomas Gaudelet, Ben Day, Arian R. Jamasb, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 174
γδ T cells are effectors of immunotherapy in cancers with HLA class I defects
N. de Vries, Joris van de Haar, Vivien Veninga, et al.
Nature (2023) Vol. 613, Iss. 7945, pp. 743-750
Open Access | Times Cited: 161
Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning
Nicholas Bernstein, Nicole L. Fong, Irene Lam, et al.
Cell Systems (2020) Vol. 11, Iss. 1, pp. 95-101.e5
Open Access | Times Cited: 159
Advances and Opportunities in Single-Cell Transcriptomics for Plant Research
Carolin Seyfferth, Jim Renema, Jos R. Wendrich, et al.
Annual Review of Plant Biology (2021) Vol. 72, Iss. 1, pp. 847-866
Open Access | Times Cited: 153
Page 1 - Next Page

Scroll to top