
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:
A Prognostic Risk Score Based on Hypoxia-, Immunity-, and Epithelialto-Mesenchymal Transition-Related Genes for the Prognosis and Immunotherapy Response of Lung Adenocarcinoma
Wenhao Ouyang, Yupeng Jiang, Shiyi Bu, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 9
Open Access | Times Cited: 32
Wenhao Ouyang, Yupeng Jiang, Shiyi Bu, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 9
Open Access | Times Cited: 32
Showing 1-25 of 32 citing articles:
Immune, metabolic landscapes of prognostic signatures for lung adenocarcinoma based on a novel deep learning framework
Shimei Qin, Shibin Sun, Yahui Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Shimei Qin, Shibin Sun, Yahui Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
N7-methylguanosine regulatory genes well represented by METTL1 define vastly different prognostic, immune and therapy landscapes in adrenocortical carcinoma.
Fangshi Xu, Danrui Cai, Shanshan Liu, et al.
PubMed (2023) Vol. 13, Iss. 2, pp. 538-568
Closed Access | Times Cited: 13
Fangshi Xu, Danrui Cai, Shanshan Liu, et al.
PubMed (2023) Vol. 13, Iss. 2, pp. 538-568
Closed Access | Times Cited: 13
Identification of cellular senescence-associated genes for predicting the diagnosis, prognosis and immunotherapy response in lung adenocarcinoma via a 113-combination machine learning framework
Ting Ge, Guixin He, Qian Cui, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Ting Ge, Guixin He, Qian Cui, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Machine learning-based identification of cuproptosis-related lncRNA biomarkers in diffuse large B-cell lymphoma
Wenhao Ouyang, Zijia Lai, Hong Huang, et al.
Cell Biology and Toxicology (2025) Vol. 41, Iss. 1
Open Access
Wenhao Ouyang, Zijia Lai, Hong Huang, et al.
Cell Biology and Toxicology (2025) Vol. 41, Iss. 1
Open Access
Role of epithelial cell-mesenchymal transition regulators in molecular typing and prognosis of colon cancer
Shengquan He, Xiaowen Li, Xindong Zhou, et al.
Journal of Gastrointestinal Oncology (2023) Vol. 14, Iss. 2, pp. 744-757
Open Access | Times Cited: 8
Shengquan He, Xiaowen Li, Xindong Zhou, et al.
Journal of Gastrointestinal Oncology (2023) Vol. 14, Iss. 2, pp. 744-757
Open Access | Times Cited: 8
Identified Gefitinib Metabolism-Related lncRNAs can be Applied to Predict Prognosis, Tumor Microenvironment, and Drug Sensitivity in Non-Small Cell Lung Cancer
Weilong Ye, Zhengguo Wu, Pengbo Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Weilong Ye, Zhengguo Wu, Pengbo Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
RNA Modifications Meet Tumors
Zhiyuan Yang, Siyu Zhang, Tian Xia, et al.
Cancer Management and Research (2022) Vol. Volume 14, pp. 3223-3243
Open Access | Times Cited: 11
Zhiyuan Yang, Siyu Zhang, Tian Xia, et al.
Cancer Management and Research (2022) Vol. Volume 14, pp. 3223-3243
Open Access | Times Cited: 11
Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)
Li‐Qing Yu, Zhenjun Huang, Ziqi Xiao, et al.
Oncology Reports (2024) Vol. 51, Iss. 4
Open Access | Times Cited: 2
Li‐Qing Yu, Zhenjun Huang, Ziqi Xiao, et al.
Oncology Reports (2024) Vol. 51, Iss. 4
Open Access | Times Cited: 2
Integrative analysis of cuproptosis-related lncRNAs: Unveiling prognostic significance, immune microenvironment, and copper-induced mechanisms in prostate cancer
Haitao Zhong, Yiming Lai, Wenhao Ouyang, et al.
Cancer Pathogenesis and Therapy (2024) Vol. 3, Iss. 1, pp. 48-59
Open Access | Times Cited: 2
Haitao Zhong, Yiming Lai, Wenhao Ouyang, et al.
Cancer Pathogenesis and Therapy (2024) Vol. 3, Iss. 1, pp. 48-59
Open Access | Times Cited: 2
Exploring prognostic and immunological characteristics of pancreatic ductal adenocarcinoma through comprehensive genomic analysis of tertiary lymphoid structures and CD8 + T-cells
Hao Hu, Yang Xu, Qiang Zhang, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 6
Open Access | Times Cited: 2
Hao Hu, Yang Xu, Qiang Zhang, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 6
Open Access | Times Cited: 2
Construction of a Novel Prognostic Model in Lung Adenocarcinoma Based on 7-Methylguanosine-Related Gene Signatures
Fei Lu, Jingyan Gao, Yu Hou, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 8
Fei Lu, Jingyan Gao, Yu Hou, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 8
Construction and validation of a hypoxia-related risk signature identified EXO1 as a prognostic biomarker based on 12 genes in lung adenocarcinoma
Qirui Chen, Shuo Chen, Jing Wang, et al.
Aging (2023) Vol. 15, Iss. 6, pp. 2293-2307
Open Access | Times Cited: 4
Qirui Chen, Shuo Chen, Jing Wang, et al.
Aging (2023) Vol. 15, Iss. 6, pp. 2293-2307
Open Access | Times Cited: 4
Bayesian network enables interpretable and state-of-the-art prediction of immunotherapy responses in cancer patients
Hideki Hozumi, Hideyuki Shimizu
PNAS Nexus (2023) Vol. 2, Iss. 5
Open Access | Times Cited: 4
Hideki Hozumi, Hideyuki Shimizu
PNAS Nexus (2023) Vol. 2, Iss. 5
Open Access | Times Cited: 4
A promising natural killer cell-based model and a nomogram for the prognostic prediction of clear-cell renal cell carcinoma
Qinfan Yao, Xiuyuan Zhang, Yucheng Wang, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 1
Qinfan Yao, Xiuyuan Zhang, Yucheng Wang, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 1
Development and Validation of a Machine Learning Prognostic Model of m5C Related immune Genes in Lung Adenocarcinoma
Xiong Cao, Yuxing Ji, Jiajia Li, et al.
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 1
Xiong Cao, Yuxing Ji, Jiajia Li, et al.
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 1
Identification of a novel prognostic signature based on vitamin metabolism clustering-related genes in lung adenocarcinoma
Yu Chen, Yupeng Jiang, Xionghui Li, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 5, pp. 1084-1100
Open Access | Times Cited: 1
Yu Chen, Yupeng Jiang, Xionghui Li, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 5, pp. 1084-1100
Open Access | Times Cited: 1
Bioinformatics analysis of an immunotherapy responsiveness- related gene signature in predicting lung adenocarcinoma prognosis
Yupeng Jiang, Bacha Hammad, Hong Huang, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 6, pp. 1277-1295
Open Access | Times Cited: 1
Yupeng Jiang, Bacha Hammad, Hong Huang, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 6, pp. 1277-1295
Open Access | Times Cited: 1
Construction and Validation of a Novel Prognostic Signature of Idiopathic Pulmonary Fibrosis by Identifying Subtypes Based on Genes Related to 7-Methylguanosine Modification
Tao Huang, Wei-Ying He
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 7
Tao Huang, Wei-Ying He
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 7
Construction of the model for predicting prognosis by key genes regulating EGFR-TKI resistance
Jinke Zhuge, Xiuqing Wang, Jingtai Li, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 6
Jinke Zhuge, Xiuqing Wang, Jingtai Li, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 6
Novel hypoxia-related gene signature for predicting prognoses that correlate with the tumor immune microenvironment in NSCLC
Zhaojin Li, Yu Cui, Shupeng Zhang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
Zhaojin Li, Yu Cui, Shupeng Zhang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
Construction of RNA Methylation Modification-immune-related lncRNA Molecular Subtypes and Prognostic Scoring System in Lung Adenocarcinoma
Jiajing Wang, Jianfeng Shu
Current Medicinal Chemistry (2023) Vol. 31, Iss. 12, pp. 1539-1560
Closed Access | Times Cited: 3
Jiajing Wang, Jianfeng Shu
Current Medicinal Chemistry (2023) Vol. 31, Iss. 12, pp. 1539-1560
Closed Access | Times Cited: 3
Identification and validation of N7‐methylguanosine‐associated gene NCBP1 as prognostic and immune‐associated biomarkers in breast cancer patients
Jiànróng Lǐ, Lin Zheng, Liying Song, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 28, Iss. 2
Open Access | Times Cited: 3
Jiànróng Lǐ, Lin Zheng, Liying Song, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 28, Iss. 2
Open Access | Times Cited: 3
The role of lactate metabolism-related LncRNAs in the prognosis, mutation, and tumor microenvironment of papillary thyroid cancer
Minqi Xia, Shuo Wang, Li Wang, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 2
Minqi Xia, Shuo Wang, Li Wang, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 2
A Novel 5-Methylcytosine- and Immune-Related Prognostic Signature Is a Potential Marker of Idiopathic Pulmonary Fibrosis
Tao Huang, Hua‐Fu Zhou
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 3
Tao Huang, Hua‐Fu Zhou
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 3
Single-cell and bulk RNA sequencing data jointly reveals VDAC2’s impacts on prognosis and immune landscape of NSCLC
Ying Ma, Bateer Han, Qin Yu, et al.
Aging (2024) Vol. 16, Iss. 4, pp. 3160-3184
Open Access
Ying Ma, Bateer Han, Qin Yu, et al.
Aging (2024) Vol. 16, Iss. 4, pp. 3160-3184
Open Access