Open Access Helper

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 comparison of marker gene selection methods for single-cell RNA sequencing data
Jeffrey M. Pullin, Davis J. McCarthy
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 20

Showing 20 citing articles:

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: 506
Comparison of transformations for single-cell RNA-seq data
Constantin Ahlmann-Eltze, Wolfgang Huber
Nature Methods (2023) Vol. 20, Iss. 5, pp. 665-672
Open Access | Times Cited: 83
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
Ultraviolet radiation shapes dendritic cell leukaemia transformation in the skin
Gabriel K. Griffin, Christopher A.G. Booth, Katsuhiro Togami, et al.
Nature (2023) Vol. 618, Iss. 7966, pp. 834-841
Open Access | Times Cited: 33
Voyager: exploratory single-cell genomics data analysis with geospatial statistics
Lambda Moses, Pétur Helgi Einarsson, Kayla Jackson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 25
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Sean K. Maden, Sang Ho Kwon, Louise A. Huuki-Myers, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 24
The impact of package selection and versioning on single-cell RNA-seq analysis
Joseph M. Rich, Lambda Moses, Pétur Helgi Einarsson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 12
Single-cell RNA-seq differential expression tests within a sample should use pseudo-bulk data of pseudo-replicates
Christoph Hafemeister, Florian Halbritter
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 20
Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex
Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
MarkerMap: nonlinear marker selection for single-cell studies
Wilson Gregory, Nabeel Sarwar, George A. Kevrekidis, et al.
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Comparison of Transformations for Single-Cell RNA-Seq Data
Constantin Ahlmann-Eltze, Wolfgang Huber
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 17
Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity
Yuliangzi Sun, Woo Jun Shim, Sophie Shen, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 11, pp. e62-e62
Open Access | Times Cited: 5
Evaluating the Utilities of Large Language Models in Single-cell Data Analysis
Hongyu Zhao, Tianyu Liu, Kexing Li, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Systematic comparison of sequencing-based spatial transcriptomic methods
Yue You, Yuting Fu, Lanxiang Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
Hongyu Zhao, Tian-Yu Liu, Tianqi Chen, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Using combined single-cell gene expression, TCR sequencing and cell surface protein barcoding to characterize and track CD4+ T cell clones from murine tissues
Annekathrin Silvia Nedwed, Sara Salome Helbich, Kathrin L. Braband, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 2
cellMarkerPipe: Cell Marker Identification and Evaluation Pipeline in Single Cell Transcriptomes
Qiuming Yao, Yinglu Jia, Pengchong Ma
Research Square (Research Square) (2024)
Open Access
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states
Tian-Yu Liu, Edward De Brouwer, Tony Kuo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
RobustCell: A Model Attack-Defense Framework for Robust Transcriptomic Data Analysis
Tianyu Liu, Xiao Luo, Yijia Xiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity
Yuliangzi Sun, Woo Jun Shim, Sophie Shen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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