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:

Global comparative transcriptomes uncover novel and population-specific gene expression in esophageal squamous cell carcinoma
Amal Alotaibi, Veerendra P. Gadekar, Pranav Swaroop Gundla, et al.
Infectious Agents and Cancer (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 7

Showing 7 citing articles:

Risk for Esophageal Cancer Based on Lifestyle Factors–Smoking, Alcohol Consumption, and Body Mass Index: Insight from a South Korean Population Study in a Low-Incidence Area
Mi Jung Kwon, Ho Suk Kang, Hyo Geun Choi, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 22, pp. 7086-7086
Open Access | Times Cited: 14

MiR-3682-3p promotes esophageal cancer progression by targeting FHL1 and activating the Wnt/β-catenin signaling pathway
Yuxin Cai, Lingling Xia, Hangjia Zhu, et al.
Cellular Signalling (2024) Vol. 119, pp. 111155-111155
Closed Access | Times Cited: 3

Bioinformatics Analysis and Experimental Validation of Differential Genes and Pathways in Bone Nonunions
Wei Xiong, Xing-Li Shu, Lv Huang, et al.
Biochemical Genetics (2024) Vol. 62, Iss. 6, pp. 4494-4517
Closed Access | Times Cited: 2

Genetic correlation, and causal relationships between 3 solid cancer types and human traits
Claudia Cava, Ehsan Nazemalhosseini Mojarad, Isabella Castiglioni
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 14, Iss. 1
Closed Access

A Molecular Signature of the Ubiquitin-Proteasome System for Forecasting Prognosis in Thyroid Carcinoma Patients
Hong Zeng, Xitong Geng, Hao Wan, et al.
Journal of Inflammation Research (2024) Vol. Volume 17, pp. 10397-10419
Open Access

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