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 and validation of a transcription factors-based prognostic signature for ovarian cancer
Qingyuan Cheng, Liman Li, Mingxia Yu
Journal of Ovarian Research (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Qingyuan Cheng, Liman Li, Mingxia Yu
Journal of Ovarian Research (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
Nanomedicine as potential cancer therapy via targeting dysregulated transcription factors
Anas Ahmad, Summya Rashid, Anis Ahmad Chaudhary, et al.
Seminars in Cancer Biology (2023) Vol. 89, pp. 38-60
Closed Access | Times Cited: 21
Anas Ahmad, Summya Rashid, Anis Ahmad Chaudhary, et al.
Seminars in Cancer Biology (2023) Vol. 89, pp. 38-60
Closed Access | Times Cited: 21
Transcription factors-related molecular subtypes and risk prognostic model: exploring the immunogenicity landscape and potential drug targets in hepatocellular carcinoma
Meixia Wang, Hanyao Guo, Bo Zhang, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Meixia Wang, Hanyao Guo, Bo Zhang, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Development and validation of a novel anoikis-related gene signature for predicting prognosis in ovarian cancer
Shuangfeng Qian, Yidan Wen, Lina Mei, et al.
Aging (2023) Vol. 15, Iss. 9, pp. 3410-3426
Open Access | Times Cited: 5
Shuangfeng Qian, Yidan Wen, Lina Mei, et al.
Aging (2023) Vol. 15, Iss. 9, pp. 3410-3426
Open Access | Times Cited: 5
Exploration of the Immunotyping Landscape and Immune Infiltration-Related Prognostic Markers in Ovarian Cancer Patients
Na Zhao, Yujuan Xing, Yanfang Hu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 7
Na Zhao, Yujuan Xing, Yanfang Hu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 7
Network-based analysis identifies key regulatory transcription factors involved in skin aging
Xiaoming Wang, Ke Ming, Shuang Wang, et al.
Experimental Gerontology (2023) Vol. 178, pp. 112202-112202
Open Access | Times Cited: 3
Xiaoming Wang, Ke Ming, Shuang Wang, et al.
Experimental Gerontology (2023) Vol. 178, pp. 112202-112202
Open Access | Times Cited: 3
Machine learning constructs a T cell related signature for predicting prognosis and drug sensitivity in ovarian cancer
Yunzheng Zhang, Lipeng Pei
Aging (2024) Vol. 16, Iss. 4, pp. 3332-3349
Open Access
Yunzheng Zhang, Lipeng Pei
Aging (2024) Vol. 16, Iss. 4, pp. 3332-3349
Open Access
Machine learning developed a PI3K/Akt pathway-related signature for predicting prognosis and drug sensitivity in ovarian cancer
Xiaofang Han, Yang Liu, Hui Tian, et al.
Aging (2023)
Open Access | Times Cited: 1
Xiaofang Han, Yang Liu, Hui Tian, et al.
Aging (2023)
Open Access | Times Cited: 1
An Optimal Risk Prediction for Ovarian Cancer Patients Using Symptoms Based Canonical Correlation Analysis
S. Bhatnagar
(2023), pp. 1-7
Closed Access
S. Bhatnagar
(2023), pp. 1-7
Closed Access
