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Cited by in F6Publishing
For: Luo Y, Xue Y, Tang G, Cai Y, Yuan X, Lin Q, Song H, Liu W, Mao L, Zhou Y, Chen Z, Zhu Y, Liu W, Wu S, Wang F, Sun Z. Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection. Front Immunol 2021;12:658843. [PMID: 34276653 DOI: 10.3389/fimmu.2021.658843] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Flores-lovon K, Ortiz-saavedra B, Cueva-chicaña LA, Aperrigue-lira S, Montes-madariaga ES, Soriano-moreno DR, Bell B, Macedo R. Immune responses in COVID-19 and tuberculosis coinfection: A scoping review. Front Immunol 2022;13:992743. [DOI: 10.3389/fimmu.2022.992743] [Reference Citation Analysis]
2 Luo Y, Xue Y, Song H, Tang G, Liu W, Bai H, Yuan X, Tong S, Wang F, Cai Y, Sun Z. Machine learning based on routine laboratory indicators promoting the discrimination between active tuberculosis and latent tuberculosis infection. J Infect 2022:S0163-4453(21)00666-6. [PMID: 34995637 DOI: 10.1016/j.jinf.2021.12.046] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Alvarez AH. Revisiting tuberculosis screening: An insight to complementary diagnosis and prospective molecular approaches for the recognition of the dormant TB infection in human and cattle hosts. Microbiol Res 2021;252:126853. [PMID: 34536677 DOI: 10.1016/j.micres.2021.126853] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 Luo Y, Xue Y, Mao L, Lin Q, Tang G, Song H, Liu W, Tong S, Hou H, Huang M, Ouyang R, Wang F, Sun Z. Activation Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection. Front Immunol 2021;12:721013. [PMID: 34512645 DOI: 10.3389/fimmu.2021.721013] [Cited by in F6Publishing: 2] [Reference Citation Analysis]