BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wang X, Yao S, Xiao Z, Gong J, Liu Z, Han B, Zhang Z. Development and validation of a survival model for lung adenocarcinoma based on autophagy-associated genes. J Transl Med 2020;18:149. [PMID: 32238163 DOI: 10.1186/s12967-020-02321-z] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Fei Y, Xu J, Ge L, Chen L, Yu H, Pan L, Chen P. Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes. Aging 2022;14:7328-47. [DOI: 10.18632/aging.204097] [Reference Citation Analysis]
2 Ye G, Wang Y. Construction of a Prognostic Nomogram Based on Autophagy-Related Genes for Children With Neuroblastoma. Evol Bioinform Online 2022;18:11769343221120960. [PMID: 36046056 DOI: 10.1177/11769343221120960] [Reference Citation Analysis]
3 Zhao R, Ding D, Ding Y, Han R, Wang X, Zhu C. Predicting Differences in Treatment Response and Survival Time of Lung Adenocarcinoma Patients Based on a Prognostic Risk Model of Glycolysis-Related Genes. Front Genet 2022;13:828543. [DOI: 10.3389/fgene.2022.828543] [Reference Citation Analysis]
4 Niu L, Yang W, Duan L, Wang X, Li Y, Zhou W, Chen J, Xu C, Zhang Y, Liu J, Hong L, Fan D. Development of a model to predict the prognosis of esophageal carcinoma based on autophagy-related genes. Future Oncol 2022. [PMID: 35048740 DOI: 10.2217/fon-2021-0070] [Reference Citation Analysis]
5 Bradley ST, Lee YS, Gurel Z, Kimple RJ. Autophagy awakens-the myriad roles of autophagy in head and neck cancer development and therapeutic response. Mol Carcinog 2021. [PMID: 34780672 DOI: 10.1002/mc.23372] [Reference Citation Analysis]
6 Liang M, Chen M, Zhong Y, Singh S, Singh S. Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes. Front Genet 2021;12:739520. [PMID: 34630529 DOI: 10.3389/fgene.2021.739520] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
7 Shi X, Tu S, Zhu L. Risk characteristics with seven epithelial-mesenchymal transition-related genes are used to predict the prognosis of patients with hepatocellular carcinoma. J Gastrointest Oncol 2021;12:1884-94. [PMID: 34532136 DOI: 10.21037/jgo-21-394] [Reference Citation Analysis]
8 Song W, Bai Y, Zhu J, Zeng F, Yang C, Hu B, Sun M, Li C, Peng S, Chen M, Sun X. A novel prognostic model based on epithelial-mesenchymal transition-related genes predicts patient survival in gastric cancer. World J Surg Oncol 2021;19:216. [PMID: 34281542 DOI: 10.1186/s12957-021-02329-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
9 Duan L, Cao L, Zhang R, Niu L, Yang W, Feng W, Zhou W, Chen J, Wang X, Li Y, Zhang Y, Liu J, Zhao Q, Fan D, Hong L. Development and validation of a survival model for esophageal adenocarcinoma based on autophagy-associated genes. Bioengineered 2021;12:3434-54. [PMID: 34252349 DOI: 10.1080/21655979.2021.1946235] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Wu L, Wen Z, Song Y, Wang L. A novel autophagy-related lncRNA survival model for lung adenocarcinoma. J Cell Mol Med 2021;25:5681-90. [PMID: 33987935 DOI: 10.1111/jcmm.16582] [Cited by in Crossref: 25] [Cited by in F6Publishing: 28] [Article Influence: 25.0] [Reference Citation Analysis]
11 Wang Z, Embaye KS, Yang Q, Qin L, Zhang C, Liu L, Zhan X, Zhang F, Wang X, Qin S. Establishment and validation of a prognostic signature for lung adenocarcinoma based on metabolism-related genes. Cancer Cell Int 2021;21:219. [PMID: 33858449 DOI: 10.1186/s12935-021-01915-x] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 15.0] [Reference Citation Analysis]
12 Wang S, Yang D, Kong W. Prediction of Overall Survival Rate in Patients With Hepatocellular Carcinoma Using an Integrated Model Based on Autophagy Gene Marker. Front Genet 2021;12:647309. [PMID: 33868382 DOI: 10.3389/fgene.2021.647309] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Sun S, Shen Y, Wang J, Li J, Cao J, Zhang J. Identification and Validation of Autophagy-Related Genes in Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2021;16:67-78. [PMID: 33469280 DOI: 10.2147/COPD.S288428] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
14 Wang X, Xiao Z, Gong J, Liu Z, Zhang M, Zhang Z. A prognostic nomogram for lung adenocarcinoma based on immune-infiltrating Treg-related genes: from bench to bedside. Transl Lung Cancer Res 2021;10:167-82. [PMID: 33569302 DOI: 10.21037/tlcr-20-822] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
15 Xiong C, Wang G, Bai D. A novel prognostic models for identifying the risk of hepatocellular carcinoma based on epithelial-mesenchymal transition-associated genes. Bioengineered 2020;11:1034-46. [PMID: 32951492 DOI: 10.1080/21655979.2020.1822715] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
16 Jin Y, Qin X. Development of a Prognostic Signature Based on Autophagy-related Genes for Head and Neck Squamous Cell Carcinoma. Arch Med Res 2020;51:860-7. [PMID: 32948377 DOI: 10.1016/j.arcmed.2020.09.009] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 5.0] [Reference Citation Analysis]