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Cited by in F6Publishing

For:	Wu Y, Meng L, Cai K, Zhao J, He S, Shen J, Wei Q, Wang Z, Sooranna S, Li H, Song J. A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer. Front Oncol 2021;11:749398. [PMID: 34650931 DOI: 10.3389/fonc.2021.749398] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]

For:

Wu Y, Meng L, Cai K, Zhao J, He S, Shen J, Wei Q, Wang Z, Sooranna S, Li H, Song J. A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer. Front Oncol 2021;11:749398. [PMID: 34650931 DOI: 10.3389/fonc.2021.749398] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]

Number	Citing Articles
1	Meng L, Lu H, Li Y, Zhao J, He S, Wang Z, Shen J, Huang H, Xiao J, Sooranna SR, Song J. Human papillomavirus infection can alter the level of tumour stemness and T cell infiltration in patients with head and neck squamous cell carcinoma. Front Immunol 2022;13. [DOI: 10.3389/fimmu.2022.1013542] [Reference Citation Analysis]
2	Geng R, Song J, Zhong Z, Ni S, Liu W, He Z, Gan S, Huang Q, Yu H, Bai J, Liu J. Crosstalk of Redox-Related Subtypes, Establishment of a Prognostic Model and Immune Responses in Endometrial Carcinoma. Cancers 2022;14:3383. [DOI: 10.3390/cancers14143383] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3	Meng L, Chen S, Shi G, He S, Wang Z, Shen J, Wang J, Sooranna SR, Zhao J, Song J. Use of Single Cell Transcriptomic Techniques to Study the Role of High-Risk Human Papillomavirus Infection in Cervical Cancer. Front Immunol 2022;13:907599. [DOI: 10.3389/fimmu.2022.907599] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4	Yu J, Nong C, Zhao J, Meng L, Song J, Xie Z. An Integrative Bioinformatic Analysis of Microbiome and Transcriptome for Predicting the Risk of Colon Adenocarcinoma. Disease Markers 2022;2022:1-12. [DOI: 10.1155/2022/7994074] [Reference Citation Analysis]