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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:

Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes
Francisco Avila Cobos, Mohammad Javad Najaf Panah, J Elswood, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Transcriptomics of Human Brain Tissue in Parkinson’s Disease: a Comparison of Bulk and Single-cell RNA Sequencing
Michael R. Fiorini, Allison A. Dilliott, Rhalena A. Thomas, et al.
Molecular Neurobiology (2024)
Open Access | Times Cited: 9
Heterogeneity and molecular landscape of melanoma: implications for targeted therapy
Yasaman Zohrab Beigi, Hossein Lanjanian, Reyhane Fayazi, et al.
Molecular Biomedicine (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 9
Challenges in IBD Research 2024: Precision Medicine
Sana Syed, Brigid S. Boland, Lauren T Bourke, et al.
Inflammatory Bowel Diseases (2024) Vol. 30, Iss. Supplement_2, pp. S39-S54
Open Access | Times Cited: 9
Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex
Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, et al.
Genome biology (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
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
Single-cell transcriptional mapping reveals genetic and non-genetic determinants of aberrant differentiation in AML
Andy G.X. Zeng, Ilaria Iacobucci, Sayyam Shah, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
CATD: a reproducible pipeline for selecting cell-type deconvolution methods across tissues
Anna Vathrakokoili Pournara, Zhichao Miao, Ozgur Yilimaz Beker, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 4
M-GENE: Multiview genes expression network ensemble for bone metabolism-related gene classification
Keyi Yu, Weilong Tan, Jirong Ge, et al.
Neurocomputing (2025) Vol. 622, pp. 129318-129318
Closed Access
Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution
Songjian Lu, Jiyuan Yang, Lei Yan, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Discovering biomarkers associated with infiltration of CD8+ T cells and tumor-associated fibrosis in colon adenocarcinoma using single-cell RNA sequencing and gene co-expression network
Jinning Zhang, Ziquan Sun, Guodong Li, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Variant-to-function approaches for adipose tissue: Insights into cardiometabolic disorders
Sophia Metz, Jonathan Robert Belanich, Melina Claussnitzer, et al.
Cell Genomics (2025), pp. 100844-100844
Open Access
Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models
Jagadheshwar Balan, Shannon K. McDonnell, Zachary C. Fogarty, et al.
Journal of Pathology Informatics (2025), pp. 100443-100443
Open Access
How to view the female reproductive tract through single-cell looking glasses
Jaime Llera-Oyola, Raúl Pérez-Moraga, Marcos Parras, et al.
American Journal of Obstetrics and Gynecology (2025) Vol. 232, Iss. 4, pp. S21-S43
Closed Access
Unraveling the complexity: understanding the deconvolutions of RNA-seq data
Kavoos Momeni, ‪Saeid Ghorbian, Ehsan Ahmadpour, et al.
Translational Medicine Communications (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 10
Benchmarking second-generation methods for cell-type deconvolution of transcriptomic data
Alexander Dietrich, Lorenzo Merotto, K. Pelz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression
Sean K. Maden, Louise A. Huuki-Myers, Sang Ho Kwon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
The Single-cell Pediatric Cancer Atlas: Data portal and open-source tools for single-cell transcriptomics of pediatric tumors
Allegra G. Hawkins, Joshua A. Shapiro, Stephanie J. Spielman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 2
Beyond the bulk: overview and novel insights into the dynamics of muscle satellite cells during muscle regeneration
Woo Seok Byun, Jinu Lee, Jea-Hyun Baek
Inflammation and Regeneration (2024) Vol. 44, Iss. 1
Open Access | Times Cited: 2
Transcriptomic analysis unveils bona fide molecular signatures of microglia under conditions of homeostasis and viral encephalitis
Felix Mulenge, Olivia Luise Gern, Lena Mareike Busker, et al.
Journal of Neuroinflammation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 1
New genetic insights into immunotherapy outcomes in gastric cancer via single-cell RNA sequencing and random forest model
Dajun Yu, Jie Yang, Binbin Wang, et al.
Cancer Immunology Immunotherapy (2024) Vol. 73, Iss. 6
Open Access
A novel method for cell deconvolution using DNA methylation in PCA space
Huan Xu, Ge Zhang, Jing Chen
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
Dynamics of transcriptional programs and chromatin accessibility in mouse spermatogonial cells from early postnatal to adult life
Irina Lazar-Contes, Rodrigo G. Arzate‐Mejía, Deepak K. Tanwar, et al.
(2024)
Open Access
A robust workflow to benchmark deconvolution of multi-omic data
Elise Amblard, Vincent Bertrand, Luis Manuel Peña, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Characterization of Loss-of-Imprinting in Breast Cancer at the Cellular Level by Integrating Single-Cell Full-Length Transcriptome with Bulk RNA-Seq Data
Muhammad Talal Amin, Louis Coussement, Tim De Meyer
Biomolecules (2024) Vol. 14, Iss. 12, pp. 1598-1598
Open Access
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