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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:

RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis
Koen Van den Berge, Katharina Hembach, Charlotte Soneson, et al.
Annual Review of Biomedical Data Science (2019) Vol. 2, Iss. 1, pp. 139-173
Open Access | Times Cited: 123

Showing 26-50 of 123 citing articles:

Multi-omics analysis to examine microbiota, host gene expression and metabolites in the intestine of black tiger shrimp (Penaeus monodon) with different growth performance
Tanaporn Uengwetwanit, Umaporn Uawisetwathana, Sopacha Arayamethakorn, et al.
PeerJ (2020) Vol. 8, pp. e9646-e9646
Open Access | Times Cited: 32
Centromeric RNA and Its Function at and Beyond Centromeric Chromatin
Samuel Corless, Saskia Höcker, Sylvia Erhardt
Journal of Molecular Biology (2020) Vol. 432, Iss. 15, pp. 4257-4269
Open Access | Times Cited: 28
Interactive and Reproducible Workflows for Exploring and Modeling RNA‐seq Data with pcaExplorer, Ideal, and GeneTonic
Annekathrin Ludt, Arsenij Ustjanzew, Harald Binder, et al.
Current Protocols (2022) Vol. 2, Iss. 4
Open Access | Times Cited: 19
Quantifying transcriptome diversity: a review
Emma F. Jones, Anisha Haldar, Vishal H. Oza, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 2, pp. 83-94
Open Access | Times Cited: 10
Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR
Pedro L. Baldoni, Yunshun Chen, Soroor Hediyeh-zadeh, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. 3, pp. e13-e13
Open Access | Times Cited: 10
DESeq2-MultiBatch: Batch Correction for Multi-Factorial RNA-seq Experiments
J. Roy, Adrian S. Monthony, Davoud Torkamaneh
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Genomic and Behavioral Signatures of Selection for Ethanol Preference from the Heterogeneous Stock Collaborative Cross Mice – The Central Nucleus of the Amygdala
Justin Q. Anderson, Priscila Darakjian, Robert Hitzemann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Time-Course Transcriptomic Dataset of Gallic Acid-Induced Human Cervical Carcinoma HeLa Cell Death
Ho Man Tang, Peter Chi Keung Cheung
Data (2025) Vol. 10, Iss. 5, pp. 61-61
Open Access
Genomic and Behavioral Signatures of Selection for Ethanol Preference from the Heterogeneous Stock Collaborative Cross Mice – The Central Nucleus of the Amygdala
Justin Q. Anderson, Priscila Darakjian, Robert Hitzemann, et al.
Addiction Neuroscience (2025), pp. 100209-100209
Open Access
BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty
Simone Tiberi, Mark D. Robinson
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 25
Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129
Lina Badimón, Emma Robinson, Amela Jusić, et al.
Cardiovascular Research (2021) Vol. 117, Iss. 8, pp. 1823-1840
Open Access | Times Cited: 22
Deep sequencing of pre-translational mRNPs reveals hidden flux through evolutionarily conserved alternative splicing nonsense-mediated decay pathways
Carrie Kovalak, Scott Donovan, Alicia A. Bicknell, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 22
Differential gene expression analysis for multi-subject single-cell RNA-sequencing studies with aggregateBioVar
Andrew L. Thurman, Jason A Ratcliff, Michael S. Chimenti, et al.
Bioinformatics (2021) Vol. 37, Iss. 19, pp. 3243-3251
Open Access | Times Cited: 22
Non-coding Natural Antisense Transcripts: Analysis and Application
Julian Krappinger, Lilli Bonstingl, Katrin Pansy, et al.
Journal of Biotechnology (2021) Vol. 340, pp. 75-101
Closed Access | Times Cited: 21
RNA‐Seq‐Pop: Exploiting the sequence in RNA sequencing—A Snakemake workflow reveals patterns of insecticide resistance in the malaria vector Anopheles gambiae
Sanjay C. Nagi, Ambrose Oruni, David Weetman, et al.
Molecular Ecology Resources (2023) Vol. 23, Iss. 4, pp. 946-961
Open Access | Times Cited: 9
Genome annotation with long RNA reads reveals new patterns of gene expression and improves single-cell analyses in an ant brain
Emily Shields, Masato Sorida, Lihong Sheng, et al.
BMC Biology (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 19
Harnessing Genomics and Transcriptomics Approaches to Improve Female Fertility in Beef Cattle—A Review
Nicholas C Kertz, Priyanka Banerjee, Paul W. Dyce, et al.
Animals (2023) Vol. 13, Iss. 20, pp. 3284-3284
Open Access | Times Cited: 8
RNA sequencing analysis of the human retina and associated ocular tissues
Scott T. Schumacker, Krista R. Coppage, Ray A. Enke
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 19
SPEAQeasy: a scalable pipeline for expression analysis and quantification for R/bioconductor-powered RNA-seq analyses
Nicholas J. Eagles, Emily E. Burke, Jacob Leonard, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 18
Proteomic and Transcriptomic Techniques to Decipher the Molecular Evolution of Venoms
Stephanie Mouchbahani-Constance, Reza Sharif‐Naeini
Toxins (2021) Vol. 13, Iss. 2, pp. 154-154
Open Access | Times Cited: 17
The Promises and the Challenges of Integrating Multi-Omics and Systems Biology in Comparative Stress Biology
Tonia S. Schwartz
Integrative and Comparative Biology (2020) Vol. 60, Iss. 1, pp. 89-97
Open Access | Times Cited: 18
Working with Omics Data: An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science
Thibault Poinsignon, Pierre Poulain, Mélina Gallopin, et al.
Neuromethods (2023), pp. 313-330
Open Access | Times Cited: 6
GTM-decon: guided-topic modeling of single-cell transcriptomes enables sub-cell-type and disease-subtype deconvolution of bulk transcriptomes
Lakshmipuram S. Swapna, Michael Huang, Yue Li
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
De novo assembly of transcriptomes and differential gene expression analysis using short-read data from emerging model organisms – a brief guide
Daniel J. Jackson, Nicolas Cerveau, Nico Posnien
Frontiers in Zoology (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 2
GEOlimma: differential expression analysis and feature selection using pre-existing microarray data
Liangqun Lu, Kevin Townsend, Bernie J. Daigle
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 14

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