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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.

Requested Article:

Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns
Qin Wei, Xiaoyu Jiang, Xinyi Miao, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 13, pp. 11351-11368
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Biological characteristics, immune infiltration and drug prediction of PANoptosis related genes and possible regulatory mechanisms in inflammatory bowel disease
Minglin Zhang, Tong Liu, Lijun Luo, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Machine learning and molecular subtyping reveal the impact of diverse patterns of cell death on the prognosis and treatment of hepatocellular carcinoma
Xinyue Yan, Meng Wang, L. Min Ji, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108360-108360
Closed Access | Times Cited: 1
Harnessing ferroptosis for precision oncology: challenges and prospects
Roberto Fernández-Acosta, Iuliana Vintea, Ine Koeken, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
A Machine Learning Computational Framework Develops a Multiple Programmed Cell Death Index for Improving Clinical Outcomes in Bladder Cancer
Chunhong Li, Wangshang Qin, Jiahua Hu, et al.
Biochemical Genetics (2024) Vol. 62, Iss. 6, pp. 4710-4737
Closed Access | Times Cited: 5
Investigating lung cancer microenvironment from cell segmentation of pathological image and its application in prognostic stratification
Xu Zhang, Zi-Han Zhang, Yongmin Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A gene signature related to programmed cell death to predict immunotherapy response and prognosis in colon adenocarcinoma
Lei Zheng, Lu Jia, Dalu Kong, et al.
PeerJ (2025) Vol. 13, pp. e18895-e18895
Open Access
ZACN Associated with Poor Prognosis Promotes Proliferation of Kidney Renal Clear Cell Carcinoma Cells by Inhibiting JTC801-Induced Alkaliptosis
Yifan Li, Can Li
Applied Biochemistry and Biotechnology (2025)
Closed Access
Ferroptosis and noncoding RNAs: exploring mechanisms in lung cancer treatment
Nadi Rostami Ravari, Farzad Sadri, Mohammad Ali Mahdiabadi, et al.
Frontiers in Cell and Developmental Biology (2025) Vol. 13
Open Access
Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma
Xiang Xiong, Wenzhao Liu, Chun‐Hsu Yao
Frontiers in Genetics (2025) Vol. 16
Open Access
Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning
Tiantian He, Jie Geng, Chuandong Hou, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Development of a machine learning-derived programmed cell death index for prognostic prediction and immune insights in colorectal cancer
Jinping Li, Yan Jiang, S H Nong, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Integrated immunogenomic analysis of single-cell and bulk profiling reveals novel tumor antigens and subtype-specific therapeutic agents in lung adenocarcinoma
Sai Tian, Mengting Luo, Xuyang Liao, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1897-1911
Open Access | Times Cited: 3
Leveraging a disulfidptosis/ferroptosis-based signature to predict the prognosis of lung adenocarcinoma
Xiaoqing Ma, Zilin Deng, Zhen Li, et al.
Cancer Cell International (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Identification and validation of an immune-derived multiple programmed cell death index for predicting clinical outcomes, molecular subtyping, and drug sensitivity in lung adenocarcinoma
Chunhong Li, Jiahua Hu, Xiling Jiang, et al.
Clinical & Translational Oncology (2024) Vol. 26, Iss. 9, pp. 2274-2295
Closed Access | Times Cited: 2
Autophagy and machine learning: Unanswered questions
Ying Yang, Zhaoying Pan, Jianhui Sun, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2024) Vol. 1870, Iss. 6, pp. 167263-167263
Closed Access | Times Cited: 2
Machine learning and bioinformatics analysis of diagnostic biomarkers associated with the occurrence and development of lung adenocarcinoma
Yong Li, Yunxiang Cai, Longfei Ji, et al.
PeerJ (2024) Vol. 12, pp. e17746-e17746
Open Access | Times Cited: 2
Identification of programmed cell death-related genes and diagnostic biomarkers in endometriosis using a machine learning and Mendelian randomization approach
Zi-Wei Xie, Yue He, Yuxin Feng, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 2
Exploring a new signature for lung adenocarcinoma: analyzing cuproptosis-related genes through Integrated single-cell and bulk RNA sequencing
Jiangtao Liu, Wei Xia, Feng Xue, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Robust Evaluation of Deep Learning-based Representation Methods for Survival and Gene Essentiality Prediction on Bulk RNA-seq Data
Baptiste Gross, Antonin Dauvin, Vincent Cabeli, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data
Baptiste Gross, Antonin Dauvin, Vincent Cabeli, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Machine learning-based integration develops a mitophagy-related lncRNA signature for predicting the progression of prostate cancer: a bioinformatic analysis
Caixia Dai, Xiangju Zeng, Xiuhong Zhang, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Unveiling the impact of cell death-related genes and immune dynamics on drug resistance in lung adenocarcinoma: a risk score model and functional insights
Yuanyuan Xiao, Shancheng He, Baochang Xie, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
The role of tRF-Val-CAC-010 in lung adenocarcinoma: implications for tumorigenesis and metastasis
Lilin Luo, Yue Cao, Juanjuan Zhang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
RCDdb: A Manually Curated Database and Analysis Platform for Regulated Cell Death
Xiaopeng Wang, Qing Wang, Jun Zhao, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3211-3221
Open Access
Analysis of prognosis and drug sensitivity in lung cancer patients based on the integration of 18 programmed cell death modes and single-cell sequencing data
Xinhui Tang, Biao Yue
Deleted Journal (2024), pp. 1-17
Closed Access
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