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:

Construction of Ovarian Cancer Prognostic Model Based on the Investigation of Ferroptosis-Related lncRNA
Shaoyi Yang, Jie Ji, Meng Wang, et al.
Biomolecules (2023) Vol. 13, Iss. 2, pp. 306-306
Open Access | Times Cited: 16

Showing 16 citing articles:

Epigenetic profiling for prognostic stratification and personalized therapy in breast cancer
Xiao Guo, Chuanbo Feng, Jiaying Xing, et al.
Frontiers in Immunology (2025) Vol. 15
Open Access

Leveraging miRNA-mediated expression profiles to predict prognosis and identify distinct molecular subtypes in ovarian cancer: a multi-cohort study
Li Jiang, Chuanlai Yang, Yunxiao Zhang, et al.
International Immunopharmacology (2025) Vol. 150, pp. 114303-114303
Open Access

Ferroptosis contributes to the progression of female-specific neoplasms, from breast cancer to gynecological malignancies in a manner regulated by non-coding RNAs: Mechanistic implications
Kiavash Hushmandi, Daniel J. Klionsky, Amir Reza Aref, et al.
Non-coding RNA Research (2024) Vol. 9, Iss. 4, pp. 1159-1177
Open Access | Times Cited: 4

Identification of a G-protein coupled receptor-related gene signature through bioinformatics analysis to construct a risk model for ovarian cancer prognosis
Shaohan Ma, Ruyue Li, Guangqi Li, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108747-108747
Open Access | Times Cited: 4

Fatty Acid Metabolism-Related lncRNA Prognostic Signature for Serous Ovarian Carcinoma
Lele Ye, Zhuofeng Jiang, Mengxia Zheng, et al.
Epigenomics (2024) Vol. 16, Iss. 5, pp. 309-329
Closed Access | Times Cited: 2

Development and clinical validation of a seven-gene signature based on tumor stem cell-related genes to predict ovarian cancer prognosis
Guangwei Wang, Xiaofei Liu, Yue You, et al.
Journal of Ovarian Research (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1

Role of exosomal non‑coding RNAs in ovarian cancer (Review)
Xinchen Wang, Yang Miao, Jiamei Zhu, et al.
International Journal of Molecular Medicine (2024) Vol. 54, Iss. 4
Closed Access | Times Cited: 1

Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response
Zhijian Tang, Yuanming Pan, Wěi Li, et al.
World Journal of Clinical Oncology (2024) Vol. 16, Iss. 1
Closed Access | Times Cited: 1

Identification of a Prognostic Signature for Ovarian Cancer Based on Ubiquitin-Related Genes Suggesting a Potential Role for FBXO9
Xiaomei Luo, Yingjie Wang, Hao Zhang, et al.
Biomolecules (2023) Vol. 13, Iss. 12, pp. 1724-1724
Open Access | Times Cited: 2

Evolutionary screening of precision oncology biomarkers and its applications in prognostic model construction
Zhiwen Zhang, Kexin Zhang, Xuan Liao, et al.
iScience (2024) Vol. 27, Iss. 6, pp. 109859-109859
Open Access

Development of a centrosome amplification-associated signature in kidney renal clear cell carcinoma based on multiple machine learning models
Zhen Song, Chunlei Xue, Hui Wang, et al.
Computational Biology and Chemistry (2024) Vol. 115, pp. 108317-108317
Closed Access

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