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Cited by in F6Publishing
For: Kzhyshkowska J, Larionova I, Liu T. YKL-39 as a Potential New Target for Anti-Angiogenic Therapy in Cancer. Front Immunol 2019;10:2930. [PMID: 32038607 DOI: 10.3389/fimmu.2019.02930] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Jiang J, Lu J, Wang X, Sun B, Liu X, Ding Y, Gao G. Glioma stem cell-derived exosomal miR-944 reduces glioma growth and angiogenesis by inhibiting AKT/ERK signaling. Aging (Albany NY) 2021;13:19243-59. [PMID: 34233294 DOI: 10.18632/aging.203243] [Reference Citation Analysis]
2 Larionova I, Kazakova E, Gerashchenko T, Kzhyshkowska J. New Angiogenic Regulators Produced by TAMs: Perspective for Targeting Tumor Angiogenesis. Cancers (Basel) 2021;13:3253. [PMID: 34209679 DOI: 10.3390/cancers13133253] [Reference Citation Analysis]
3 Yang PS, Yu MH, Hou YC, Chang CP, Lin SC, Kuo IY, Su PC, Cheng HC, Su WC, Shan YS, Wang YC. Targeting protumor factor chitinase-3-like-1 secreted by Rab37 vesicles for cancer immunotherapy. Theranostics 2022;12:340-61. [PMID: 34987649 DOI: 10.7150/thno.65522] [Reference Citation Analysis]
4 Larionova I, Tuguzbaeva G, Ponomaryova A, Stakheyeva M, Cherdyntseva N, Pavlov V, Choinzonov E, Kzhyshkowska J. Tumor-Associated Macrophages in Human Breast, Colorectal, Lung, Ovarian and Prostate Cancers. Front Oncol 2020;10:566511. [PMID: 33194645 DOI: 10.3389/fonc.2020.566511] [Cited by in Crossref: 14] [Cited by in F6Publishing: 20] [Article Influence: 7.0] [Reference Citation Analysis]
5 Larionova I, Kazakova E, Patysheva M, Kzhyshkowska J. Transcriptional, Epigenetic and Metabolic Programming of Tumor-Associated Macrophages. Cancers (Basel) 2020;12:E1411. [PMID: 32486098 DOI: 10.3390/cancers12061411] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 9.0] [Reference Citation Analysis]
6 Guo S, Chen X, Guo C, Wang W. Tumour-associated macrophages heterogeneity drives resistance to clinical therapy. Expert Rev Mol Med 2022;24:e17. [PMID: 35400355 DOI: 10.1017/erm.2022.8] [Reference Citation Analysis]
7 Tang F, Zhang L, Xu L, Zou Q, Feng H. The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis. Brief Bioinform 2021:bbab227. [PMID: 34113984 DOI: 10.1093/bib/bbab227] [Reference Citation Analysis]
8 Liu L, Yang Y, Duan H, He J, Sun L, Hu W, Zeng J. CHI3L2 Is a Novel Prognostic Biomarker and Correlated With Immune Infiltrates in Gliomas. Front Oncol 2021;11:611038. [PMID: 33937022 DOI: 10.3389/fonc.2021.611038] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]