日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

乳腺癌中M2样肿瘤相关巨噬细胞的分子特征和预后模型：揭示DLG3的免疫抑制作用

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2025.1650726
Wang, Ziqiang; Zhang, Jing; Chen, Huili; Zhang, Xinyu; Zhang, Kai; Zhang, Feiyue; Xie, Yiluo; Ma, Hongyu; Pan, Linfeng; Zhang, Qiang; Lu, Min; Wang, Hongtao; Lian, Chaoqun
巨噬细胞
肿瘤
肿瘤免疫
巨噬细胞
乳腺癌
细胞生物学
免疫/内分泌
发表日期：2025
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Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999-2018

甘油三酯-葡萄糖指数可预测1999-2018年NHANES研究中卒中后的全因死亡率

期刊:Frontiers in Aging Neuroscience
影响因子:4.5
doi:10.3389/fnagi.2025.1617419
Zheng, Jiaqian; Mao, Weiwen; Sang, Mengqian; Pan, Xinyu; Xie, Yiluo; Xie, Yichi
发表日期：2025
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Network pharmacology combined with molecular docking and experimental validation of the mechanism of action of columbianetin acetate in the treatment of ovarian cancer

网络药理学结合分子对接和实验验证，阐明了哥伦比亚素醋酸酯治疗卵巢癌的作用机制

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2025.1515976
Hu, Mengling; Wang, Luyao; Zhang, Feiyue; Xie, Yiluo; Zhang, Tingting; Liu, Hongli; Li, Zhenghong; Zhang, Jing
肿瘤
肿瘤免疫
卵巢癌
发表日期：2025
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Integration of single cell and bulk transcriptomes identifies T cell stress subtypes in LUAD

整合单细胞和整体转录组数据，可识别肺腺癌中的T细胞应激亚型。

期刊:Discover Oncology
影响因子:2.9
doi:10.1007/s12672-025-03170-2
Min, Shengping; Pan, Linfeng; Zhang, Xinyu; Chen, Huili; Qiu, Lixuan; Wang, Xinyu; Xie, Yiluo; Zhang, Kai; Zhang, Qiang; Lian, Chaoqun; Zhang, Jing
肿瘤
T细胞
肿瘤免疫
单细胞
T细胞
细胞生物学
免疫/内分泌
发表日期：2025
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Comprehensive bioinformatics analysis of malignant transformation and potential therapeutic possibility of lung adenocarcinoma after lipopolysaccharide induction

脂多糖诱导后肺腺癌恶性转化及潜在治疗可能性的综合生物信息学分析

期刊:Frontiers in Genetics
影响因子:2.8
doi:10.3389/fgene.2025.1556366
Xu, Wanjie; Zhang, Jing; Zhang, Xinyu; Wang, Xue; Xie, Yiluo; Min, Shengping; Wang, Xiaojing; Lian, Chaoqun
肿瘤
肿瘤免疫
发表日期：2025
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Integration of the bulk transcriptome and single-cell transcriptome reveals efferocytosis features in lung adenocarcinoma prognosis and immunotherapy by combining deep learning

通过整合整体转录组和单细胞转录组，结合深度学习揭示肺腺癌预后和免疫治疗中的胞吞作用特征

期刊:Cancer Cell International
影响因子:6
doi:10.1186/s12935-024-03571-3
Xie, Yiluo; Chen, Huili; Zhang, Xueying; Zhang, Jing; Zhang, Kai; Wang, Xinyu; Min, Shengping; Wang, Xiaojing; Lian, Chaoqun
肿瘤
肿瘤免疫
免疫/内分泌
细胞生物学
单细胞
发表日期：2024
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Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort

整合多组学和机器学习生存框架，构建基于肺腺癌队列免疫功能和细胞死亡模式的预后模型

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2024.1460547
Xie, Yiluo; Chen, Huili; Tian, Mei; Wang, Ziqang; Wang, Luyao; Zhang, Jing; Wang, Xiaojing; Lian, Chaoqun
细胞生物学
肿瘤
肿瘤免疫
免疫/内分泌
发表日期：2024
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Identification and validation of tryptophan-related gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma reveals a critical role for PTTG1.

识别和验证色氨酸相关基因特征以预测肺腺癌的预后和免疫治疗反应，揭示了 PTTG1 的关键作用

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2024.1386427
Wang Ziqiang, Zhang Jing, Zuo Chao, Chen Huili, Wang Luyao, Xie Yiluo, Ma Hongyu, Min Shengping, Wang Xiaojing, Lian Chaoqun
免疫/内分泌
肺癌
发表日期：2024
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Multi-omics identification of GPCR gene features in lung adenocarcinoma based on multiple machine learning combinations

基于多种机器学习组合的多组学方法鉴定肺腺癌中GPCR基因特征

期刊:Journal of Cancer
影响因子:3.2
doi:10.7150/jca.90990
Xie, Yiluo; Pan, Xinyu; Wang, Ziqiang; Ma, Hongyu; Xu, Wanjie; Huang, Hua; Zhang, Jing; Wang, Xiaojing; Lian, Chaoqun
肿瘤
GPCR/Calcium/cAMP
肿瘤免疫
发表日期：2024
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Identification of T-cell exhaustion-related genes and prediction of their immunotherapeutic role in lung adenocarcinoma

鉴定T细胞耗竭相关基因并预测其在肺腺癌免疫治疗中的作用

期刊:Journal of Cancer
影响因子:3.2
doi:10.7150/jca.92839
Lian, Chaoqun; Li, Feifan; Xie, Yiluo; Zhang, Linxiang; Chen, Huili; Wang, Ziqiang; Pan, Xinyu; Wang, Xiaojing; Zhang, Jing
肿瘤
T细胞
肿瘤免疫
T细胞
细胞生物学
免疫/内分泌
发表日期：2024
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