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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.

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Showing 1-25 of 26 citing articles:

Regulatory mechanisms of microRNA expression
Lyudmila F. Gulyaeva, Nicolay E. Kushlinskiy
Journal of Translational Medicine (2016) Vol. 14, Iss. 1
Open Access | Times Cited: 401
miR-30 Promotes Thermogenesis and the Development of Beige Fat by Targeting RIP140
Fang Hu, Min Wang, Ting Xiao, et al.
Diabetes (2015) Vol. 64, Iss. 6, pp. 2056-2068
Open Access | Times Cited: 114
Biology of MiR-17-92 Cluster and Its Progress in Lung Cancer
Xinju Zhang, Yanli Li, Pengfei Qi, et al.
International Journal of Medical Sciences (2018) Vol. 15, Iss. 13, pp. 1443-1448
Open Access | Times Cited: 91
The miR-17-92 cluster: Yin and Yang in human cancers
Wenyuan Zhao, Ananya Gupta, Janusz Krawczyk, et al.
Cancer Treatment and Research Communications (2022) Vol. 33, pp. 100647-100647
Open Access | Times Cited: 32
Thinking Beyond Disease Silos: Dysregulated Genes Common in Tuberculosis and Lung Cancer as Identified by Systems Biology and Machine Learning
Sanjukta Dasgupta
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 7, pp. 347-356
Closed Access | Times Cited: 8
Bta‐miR‐149‐5p inhibits proliferation and differentiation of bovine adipocytes through targeting CRTCs at both transcriptional and posttranscriptional levels
Rajwali Khan, Sayed Haidar Abbas Raza, Zainaguli Junjvlieke, et al.
Journal of Cellular Physiology (2020) Vol. 235, Iss. 7-8, pp. 5796-5810
Closed Access | Times Cited: 45
Expression of miRNAs in non-small-cell lung carcinomas and their association with clinicopathological features
Elham Tafsiri, Mojtaba Darbouy, Mohammad Behgam Shadmehr, et al.
Tumor Biology (2014) Vol. 36, Iss. 3, pp. 1603-1612
Closed Access | Times Cited: 40
In silico identification of potential key regulatory factors in smoking-induced lung cancer
Salem A. El-aarag, Amal Mahmoud, Medhat H. Hashem, et al.
BMC Medical Genomics (2017) Vol. 10, Iss. 1
Open Access | Times Cited: 38
MicroRNA and Transcription Factor Mediated Regulatory Network Analysis Reveals Critical Regulators and Regulatory Modules in Myocardial Infarction
Guangde Zhang, Hongbo Shi, Lin Wang, et al.
PLoS ONE (2015) Vol. 10, Iss. 8, pp. e0135339-e0135339
Open Access | Times Cited: 36
MicroRNA-570-3p regulates HuR and cytokine expression in airway epithelial cells.
Alanna Roff, Timothy Craig, Avery August, et al.
PubMed (2014)
Closed Access | Times Cited: 32
A global view of regulatory networks in lung cancer: An approach to understand homogeneity and heterogeneity
Jiapei Lv, William Yang Wang, Menglin Xu, et al.
Seminars in Cancer Biology (2016) Vol. 42, pp. 31-38
Closed Access | Times Cited: 21
Downregulation of hsa-microRNA-204-5p and identification of its potential regulatory network in non-small cell lung cancer: RT-qPCR, bioinformatic- and meta-analyses
Changyu Liang, Zu-yun Li, Ting‐Qing Gan, et al.
Respiratory Research (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Circulating MicroRNAs from Serum Exosomes May Serve as a Putative Biomarker in the Diagnosis and Treatment of Patients with Focal Cortical Dysplasia
Shang‐Der Chen, Hsiu-Yung Pan, Jyun-Bin Huang, et al.
Cells (2020) Vol. 9, Iss. 8, pp. 1867-1867
Open Access | Times Cited: 16
Systems biology approach identifies key regulators and the interplay between miRNAs and transcription factors for pathological cardiac hypertrophy
Mariana Recamonde‐Mendoza, Adriano Velasque Werhli, Andréia Biolo
Gene (2019) Vol. 698, pp. 157-169
Closed Access | Times Cited: 13
miR-590 promotes the proliferation of HUMSCs and induces ECM synthesis by targeting Smad7
Tianming Liu, Yinge Wu, Teng‐Yi Huang, et al.
Oncology Letters (2017) Vol. 14, Iss. 4, pp. 3941-3946
Open Access | Times Cited: 9
Gene regulation and prognostic indicators of lung squamous cell carcinoma: TCGA‐derived miRNA/mRNA sequencing and DNA methylation data
Yuzhou Shen, Xufeng Pan, Jun Yang
Journal of Cellular Physiology (2019) Vol. 234, Iss. 12, pp. 22896-22910
Closed Access | Times Cited: 8
Identifying Functional Modules in Co-Regulatory Networks Through Overlapping Spectral Clustering
Jiawei Luo, Ying Yin, Chu Pan, et al.
IEEE Transactions on NanoBioscience (2018) Vol. 17, Iss. 2, pp. 134-144
Closed Access | Times Cited: 7
Identification of Biomarker and Co-Regulatory Motifs in Lung Adenocarcinoma Based on Differential Interactions
Ning Zhao, Yongjing Liu, Zhiqiang Chang, et al.
PLoS ONE (2015) Vol. 10, Iss. 9, pp. e0139165-e0139165
Open Access | Times Cited: 6
A workflow for the integrative transcriptomic description of molecular pathology and the suggestion of normalizing compounds, exemplified by Parkinson’s disease
Mohamed Hamed, Yvonne Saara Gladbach, Steffen Möller, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 6
A comparative analysis reveals the dosage sensitivity and regulatory patterns of lncRNA in prostate cancer
Yongjing Liu, Rui Zhang, Ning Zhao, et al.
Molecular BioSystems (2016) Vol. 12, Iss. 10, pp. 3176-3185
Closed Access | Times Cited: 4
Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells
Beatriz Andrea Otálora-Otálora, Cristian González Prieto, Lucia Guerrero, et al.
Biomedicines (2022) Vol. 10, Iss. 12, pp. 3122-3122
Open Access | Times Cited: 4
Biomarker Identification for Liver Hepatocellular Carcinoma and Cholangiocarcinoma Based on Gene Regulatory Network Analysis
Qiuyan Huo, Yuying Ma, Yu Yin, et al.
Current Bioinformatics (2020) Vol. 16, Iss. 1, pp. 31-43
Closed Access | Times Cited: 4
Burkitt lymphoma‑associated network construction and important network motif analysis
Kunhao Wang, Chao Ma, Chong Xing, et al.
Oncology Letters (2018)
Open Access | Times Cited: 1
Dynamics of MicroRNA Biogenesis
Mohamed Fareh
Biological and medical physics series (2019), pp. 211-249
Closed Access | Times Cited: 1
Co-Regulatory Functional Module Detection Based on Affinity Propagation and Neighborhood Inflation
Ruinan Nie, Jiawei Luo, Hoang Tu Nguyen
(2019), pp. 877-884
Closed Access
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