Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 novel cuproptosis-related LncRNA signature: Prognostic and therapeutic value for acute myeloid leukemia
Pian Li, Junjun Li, Feng Wen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 22

Showing 22 citing articles:

Cuproptosis-related lncRNA signature for prognostic prediction in patients with acute myeloid leukemia
Yidong Zhu, Jun He, Zihua Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 16
Development and validation of a cuproptosis-related prognostic model for acute myeloid leukemia patients using machine learning with stacking
Xichao Wang, Hao Sun, Yongfei Dong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Copper homeostasis and copper-induced cell death in tumor immunity: implications for therapeutic strategies in cancer immunotherapy
Sai‐Nan Zhang, Qibo Huang, Tuo Ji, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Cuproptosis-Related lncRNA Gene Signature Establishes a Prognostic Model of Gastric Adenocarcinoma and Evaluate the Effect of Antineoplastic Drugs
Hengjia Tu, Qingling Zhang, Lingna Xue, et al.
Genes (2022) Vol. 13, Iss. 12, pp. 2214-2214
Open Access | Times Cited: 22
A novel perspective on survival prediction for AML patients: integration of machine learning in SEER database applications
Zheng-yi Jia, Maierbiya Abulimiti, Wu Yun, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e42030-e42030
Open Access
Cuproptosis Regulation by Long Noncoding RNAs: Mechanistic Insights and Clinical Implications in Cancer
Nahla E. El‐Ashmawy, Eman G. Khedr, Mariam A. Abo-Saif, et al.
Archives of Biochemistry and Biophysics (2025), pp. 110324-110324
Closed Access
Identification of immune characteristic biomarkers and therapeutic targets in cuproptosis for rheumatoid arthritis by integrated bioinformatics analysis and single-cell RNA sequencing analysis
Xianbin Li, Xueli Zhang, Tao Liu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
RAB39B: A novel biomarker for acute myeloid leukemia identified via multi-omics and functional validation
Shuo Chen, Mengxing Li, Jishi Wang
Open Medicine (2025) Vol. 20, Iss. 1
Open Access
Long noncoding RNAs in acute myeloid leukemia: biomarkers, prognostic indicators, and treatment potential
Maryam Farajzadeh, Mehrdad Fathi, Pooya Jalali, et al.
Cancer Cell International (2025) Vol. 25, Iss. 1
Open Access
Disulfidptosis-related LncRNAs forecast the prognosis of acute myeloid leukemia
Pei Xu, Xiaolin Sun, Lingxiao Pan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Changes in cuproptosis-related gene expression in periodontitis: An integrated bioinformatic analysis
Na Liu, Yeqing He, Xiaohong Chen, et al.
Life Sciences (2024) Vol. 338, pp. 122388-122388
Open Access | Times Cited: 3
LncRNA LBX2-AS1 inhibits acute myeloid leukemia progression through miR-455-5p/MYLIP axis
Gongli Fu, Hao Wu, Xiaomiao Wu, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24812-e24812
Open Access | Times Cited: 2
Cuproptosis-related lncRNAs forecast the prognosis of acute myeloid leukemia
Tong Zhang, Danying Liao, Y. Hu
Translational Cancer Research (2023) Vol. 12, Iss. 5, pp. 1175-1195
Open Access | Times Cited: 6
Identification of a novel cuproptosis‐related gene signature for multiple myeloma diagnosis
Yidong Zhu, Shuaikang Chang, Jun Liu, et al.
Immunity Inflammation and Disease (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 5
Exploring and clinical validation of prognostic significance and therapeutic implications of copper homeostasis-related gene dysregulation in acute myeloid leukemia
Maierbiya Abulimiti, Zheng-yi Jia, Yun Wu, et al.
Annals of Hematology (2024) Vol. 103, Iss. 8, pp. 2797-2826
Closed Access | Times Cited: 1
Correlation of SNHG7 and BGL3 expression in patients with de novo acute myeloid leukemia; novel insights into lncRNA effect in PI3K signaling context in AML pathogenesis
S. Hassani, Parsa Rostami, Meshkat Pourtavakol, et al.
Biochemistry and Biophysics Reports (2024) Vol. 40, pp. 101850-101850
Open Access | Times Cited: 1
Long non‐coding RNAs regulate treatment outcome in leukemia: What have we learnt recently?
Huiping Shi, Liang Gao, Weili Zhang, et al.
Cancer Medicine (2023) Vol. 12, Iss. 13, pp. 13966-13977
Open Access | Times Cited: 3
Novel cuproptosis-related lncRNAs can predict the prognosis of patients with multiple myeloma
Yuying Chen, Jialin Tang, Lin Chen, et al.
Translational Cancer Research (2023) Vol. 12, Iss. 11, pp. 3074-3087
Open Access | Times Cited: 2
MT1E in AML: a gateway to understanding regulatory cell death and immunotherapeutic responses
Xin Zhuang, Peng Chen, Kaiqian Yang, et al.
Journal of Leukocyte Biology (2024) Vol. 116, Iss. 6, pp. 1515-1529
Closed Access
MICAL1 promotes the proliferation in acute myeloid leukemia and is associated with clinical prognosis and immune infiltration
Yinsen Song, Zhenzhen Yang, Na Gao, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
Construction and validation of a cuproptosis-related lncRNA prognosis signature in bladder carcinoma
Jinbo Song, Xiaoke Sun, Ting Wang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 13, pp. 11207-11221
Closed Access
Comprehensive analysis of multiomics data for the identification of a cuproptosis-related gene signature predicting prognostic outcomes and drug responses in gastric cancer
Hongxin Huang, Chuming Zhu, Mengpei Yan, et al.
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top