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:

Uncovering the Complexity of Transcriptomes with RNA-Seq
Valerio Costa, Claudia Angelini, Italia De Feis, et al.
Journal of Biomedicine and Biotechnology (2010) Vol. 2010, pp. 1-19
Open Access | Times Cited: 417

Showing 1-25 of 417 citing articles:

Sequencing technologies and genome sequencing
Chandra S. Pareek, Rafał Smoczyński, Andrzej Tretyn
Journal of Applied Genetics (2011) Vol. 52, Iss. 4, pp. 413-435
Open Access | Times Cited: 806

RNA-Seq Technology and Its Application in Fish Transcriptomics
Xi Qian, Yi Ba, Qianfeng Zhuang, et al.
OMICS A Journal of Integrative Biology (2013) Vol. 18, Iss. 2, pp. 98-110
Open Access | Times Cited: 305

Transcriptome Profiling in Human Diseases: New Advances and Perspectives
Amelia Casamassimi, Antonio Federico, Monica Rienzo, et al.
International Journal of Molecular Sciences (2017) Vol. 18, Iss. 8, pp. 1652-1652
Open Access | Times Cited: 238

RNA-Seq and human complex diseases: recent accomplishments and future perspectives
Valerio Costa, Marianna Aprile, Roberta Esposito, et al.
European Journal of Human Genetics (2012) Vol. 21, Iss. 2, pp. 134-142
Open Access | Times Cited: 234

Comparative transcriptomics of three Poaceae species reveals patterns of gene expression evolution
Rebecca M. Davidson, Malali Gowda, Gaurav D. Moghe, et al.
The Plant Journal (2012) Vol. 71, Iss. 3, pp. 492-502
Open Access | Times Cited: 233

Whole transcriptome analysis with sequencing: methods, challenges and potential solutions
Zhihua Jiang, Xiang Zhou, Rui Li, et al.
Cellular and Molecular Life Sciences (2015) Vol. 72, Iss. 18, pp. 3425-3439
Open Access | Times Cited: 199

RNA-seq data science: From raw data to effective interpretation
Dhrithi Deshpande, Karishma Chhugani, Yutong Chang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 69

Upcoming progress of transcriptomics studies on plants: An overview
Parul Tyagi, Deeksha Singh, Shivangi Mathur, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 69

RNA-seq and microarray complement each other in transcriptome profiling
Sunitha Kogenaru, Qing Yan, Yinping Guo, et al.
BMC Genomics (2012) Vol. 13, Iss. 1
Open Access | Times Cited: 152

The Human Transcriptome: An Unfinished Story
Mihaela Pertea
Genes (2012) Vol. 3, Iss. 3, pp. 344-360
Open Access | Times Cited: 136

Strand-specific libraries for high throughput RNA sequencing (RNA-Seq) prepared without poly(A) selection
Zhao Zhang, William E. Theurkauf, Zhiping Weng, et al.
Silence (2012) Vol. 3, Iss. 1
Open Access | Times Cited: 136

Radiogenomic Analysis of Oncological Data: A Technical Survey
Mariarosaria Incoronato, Marco Aiello, Teresa Infante, et al.
International Journal of Molecular Sciences (2017) Vol. 18, Iss. 4, pp. 805-805
Open Access | Times Cited: 126

RNA-Seq quantification of the human small airway epithelium transcriptome
Neil R. Hackett, Marcus W. Butler, Renat Shaykhiev, et al.
BMC Genomics (2012) Vol. 13, Iss. 1, pp. 82-82
Open Access | Times Cited: 118

A tour through the transcriptional landscape of platelets
Sebastian Schubert, Andrew S. Weyrich, Jesse W. Rowley
Blood (2014) Vol. 124, Iss. 4, pp. 493-502
Open Access | Times Cited: 116

A Powerful Method for Transcriptional Profiling of Specific Cell Types in Eukaryotes: Laser-Assisted Microdissection and RNA Sequencing
Marc W. Schmid, Anja Schmidt, Ulrich C. Klostermeier, et al.
PLoS ONE (2012) Vol. 7, Iss. 1, pp. e29685-e29685
Open Access | Times Cited: 111

Introduction to the Gene Expression Analysis
Ignacio San Segundo-Val, Catalina S. Sanz-Lozano
Methods in molecular biology (2016), pp. 29-43
Closed Access | Times Cited: 109

Methodologies to decipher the cell secretome
Paromita Mukherjee, Sridhar Mani
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2013) Vol. 1834, Iss. 11, pp. 2226-2232
Open Access | Times Cited: 108

RNA-Seq Perspectives to Improve Clinical Diagnosis
Guillermo Marco-Puche, Sergio Lois, Javier Benı́tez, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 93

Evaluation of the developmental toxicity of 2,7-dibromocarbazole to zebrafish based on transcriptomics assay
Chenyang Ji, Yan Lu, Yuanchen Chen, et al.
Journal of Hazardous Materials (2019) Vol. 368, pp. 514-522
Closed Access | Times Cited: 79

A Review of Nanotechnology in microRNA Detection and Drug Delivery
Hsiuying Wang
Cells (2024) Vol. 13, Iss. 15, pp. 1277-1277
Open Access | Times Cited: 10

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

Personalized cancer vaccine design using AI-powered technologies
Anant Kumar, Shriniket Dixit, Kathiravan Srinivasan, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 8

An RNA-Seq Strategy to Detect the Complete Coding and Non-Coding Transcriptome Including Full-Length Imprinted Macro ncRNAs
Ru Huang, Markus Jaritz, Philipp Guenzl, et al.
PLoS ONE (2011) Vol. 6, Iss. 11, pp. e27288-e27288
Open Access | Times Cited: 111

Cryopreserved Bovine Spermatozoal Transcript Profile as Revealed by High-Throughput Ribonucleic Acid Sequencing1
Christopher Card, Elizabeth J. Anderson, Samanta Zamberlan, et al.
Biology of Reproduction (2013) Vol. 88, Iss. 2
Open Access | Times Cited: 100

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