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For: Zhang Z, Chen L, Xu P, Xing L, Hong Y, Chen P. Gene correlation network analysis to identify regulatory factors in sepsis. J Transl Med 2020;18:381. [PMID: 33032623 DOI: 10.1186/s12967-020-02561-z] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Gong J, Zhao S, Luo S, Yin S, Li X, Feng Y. Downregulation of circ-ZNF644 alleviates LPS-induced HK2 cell injury via miR-335-5p/HIPK1 axis. Environ Toxicol 2022. [PMID: 36052886 DOI: 10.1002/tox.23642] [Reference Citation Analysis]
2 Lu L, Liu L, Gui R, Dong H, Su Y, Zhou X, Liu F. Discovering common pathogenetic processes between COVID-19 and sepsis by bioinformatics and system biology approach. Front Immunol 2022;13:975848. [DOI: 10.3389/fimmu.2022.975848] [Reference Citation Analysis]
3 Jiang F, Zhou H, Shen H. Identification of Critical Biomarkers and Immune Infiltration in Rheumatoid Arthritis Based on WGCNA and LASSO Algorithm. Front Immunol 2022;13:925695. [PMID: 35844557 DOI: 10.3389/fimmu.2022.925695] [Reference Citation Analysis]
4 Ming T, Dong M, Song X, Li X, Kong Q, Fang Q, Wang J, Wu X, Xia Z. Integrated Analysis of Gene Co-Expression Network and Prediction Model Indicates Immune-Related Roles of the Identified Biomarkers in Sepsis and Sepsis-Induced Acute Respiratory Distress Syndrome. Front Immunol 2022;13:897390. [DOI: 10.3389/fimmu.2022.897390] [Reference Citation Analysis]
5 Huang S, Cai S, Li H, Zhang W, Xiao H, Yu D, Zhong X, Tao P, Luo Y. Prediction of Differentially Expressed Genes and a Diagnostic Signature of Preeclampsia via Integrated Bioinformatics Analysis. Dis Markers 2022;2022:5782637. [PMID: 35711567 DOI: 10.1155/2022/5782637] [Reference Citation Analysis]
6 Tanak AS, Sardesai A, Muthukumar S, Krishnan S, Striegel DA, Schully KL, Clark DV, Prasad S. Multiplexed host immune response biosensor for rapid sepsis stratification and endotyping at point-of-care. Biosensors and Bioelectronics: X 2022;10:100144. [DOI: 10.1016/j.biosx.2022.100144] [Reference Citation Analysis]
7 Sheng L, Tong Y, Zhang Y, Feng Q. Identification of Hub Genes With Differential Correlations in Sepsis. Front Genet 2022;13:876514. [DOI: 10.3389/fgene.2022.876514] [Reference Citation Analysis]
8 Li M, Huang H, Ke C, Tan L, Wu J, Xu S, Tu X. Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm. Hereditas 2022;159. [DOI: 10.1186/s41065-021-00215-8] [Reference Citation Analysis]
9 Martínez-Fleta P, Vera-Tomé P, Jiménez-Fernández M, Requena S, Roy-Vallejo E, Sanz-García A, Lozano-Prieto M, López-Sanz C, Vara A, Lancho-Sánchez Á, Martín-Gayo E, Muñoz-Calleja C, Alfranca A, González-Álvaro I, Galván-Román JM, Aspa J, de la Fuente H, Sánchez-Madrid F. A Differential Signature of Circulating miRNAs and Cytokines Between COVID-19 and Community-Acquired Pneumonia Uncovers Novel Physiopathological Mechanisms of COVID-19. Front Immunol 2021;12:815651. [PMID: 35087533 DOI: 10.3389/fimmu.2021.815651] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
10 Yu X, Qu C, Ke L, Tong Z, Li W. Step-by-Step Construction of Gene Co-Expression Network Analysis for Identifying Novel Biomarkers of Sepsis Occurrence and Progression. Int J Gen Med 2021;14:6047-57. [PMID: 34594129 DOI: 10.2147/IJGM.S328076] [Reference Citation Analysis]
11 Zhu T, Su Q, Wang C, Shen L, Chen H, Feng S, Peng X, Chen S, Wang Y, Jiang H, Chen J. SDF4 Is a Prognostic Factor for 28-Days Mortality in Patients With Sepsis via Negatively Regulating ER Stress. Front Immunol 2021;12:659193. [PMID: 34326834 DOI: 10.3389/fimmu.2021.659193] [Reference Citation Analysis]
12 Fang Q, Wang Q, Zhou Z, Xie A. Consensus analysis via weighted gene co-expression network analysis (WGCNA) reveals genes participating in early phase of acute respiratory distress syndrome (ARDS) induced by sepsis. Bioengineered 2021;12:1161-72. [PMID: 33818300 DOI: 10.1080/21655979.2021.1909961] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]