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

Landscape of Somatic and Age-Related Pathogenic Structural Variations in Hepatocellular Carcinoma Revealed by Long-Read Sequencing

长读长测序揭示肝细胞癌中体细胞和年龄相关致病结构变异的图谱

期刊:MedComm
影响因子:10.7
doi:10.1002/mco2.70570
Wei, Zhewen; Cao, Yinghao; Liu, Hongchao; Liu, Mei; Zhang, Bolun; Ying, Jianming; Cai, Jianqiang; Bi, Xinyu; Zhao, Jianjun; Zhou, Jianguo; Li, Zhiyu; Huang, Zhen; Liu, Jianmei; Lv, Xueyan; Luo, Zhiwen; Wei, Zhicheng; Zhang, Xiaoshi; Yang, Yi; Deng, Yiqiao; Yin, Yanjiang; Chen, Jinghua; Liang, Junbo; Wang, Xiaoyue; Zhang, Yefan; Zhao, Hong
细胞生物学
肿瘤
肿瘤免疫
发表日期：2026
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Single-cell spatial transcriptomics reveals tumor microenvironment heterogeneity in primary and lymph node-metastatic small cell lung cancer

单细胞空间转录组学揭示原发性和淋巴结转移性小细胞肺癌的肿瘤微环境异质性

期刊:Cell Reports Medicine
影响因子:10.6
doi:10.1016/j.xcrm.2026.102713
Zhang, Zicheng; Wu, Dongfang; Chen, Ruanqi; Zhai, Modi; Yang, Fan; Wang, Jiaqian; Guo, Lei; Liu, Li; Ying, Jianming; Yang, Lin; Zhou, Meng
单细胞
细胞生物学
肿瘤微环境
肺癌
肿瘤
肿瘤免疫
发表日期：2026
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Long-term outcomes and clinical features of stage III non-small-cell lung cancer harboring ALK rearrangements: a multicenter retrospective study of 176 patients

ALK基因重排的III期非小细胞肺癌的长期预后和临床特征：一项纳入176例患者的多中心回顾性研究

期刊:Journal of the National Cancer Center
影响因子:9.4
doi:10.1016/j.jncc.2025.07.005
Tan, Fengwei; Jiang, Ying; Duan, Jianchun; Li, Renda; Cao, Jianzhong; Jiang, Wei; Li, Qiang; Zhang, Guochao; Duan, Jinghao; Wang, Yu; Wang, Zhijie; Li, Weihua; Ying, Jianming; Wang, Jie; Bi, Nan; He, Jie
肺癌
肿瘤
肿瘤免疫
ALK
细胞生物学
发表日期：2026
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Consensus on Human Epidermal Growth Factor Receptor 2 Overexpression Testing in Pan‐Tumor

关于泛肿瘤中人表皮生长因子受体2过表达检测的共识

期刊:Journal of Molecular Biology
影响因子:4.5
doi:10.1016/j.jmb.2025.169044
Nussinov, Ruth; Wang, Zhe; Chen, Lin; Rao, Wei; Cao, Baoshan; Cai, Muyan; Fan, Xiangshan; Ji, Yuan; Li, Yuan; Song, Yan; Sun, Yan; Sun, Yu; Wu, Chunyan; Xia, Qingxin; Xi, Yanfeng; Xue, Liyan; Yin, Rutie; Liang, Han; Ying, Jianming
信号转导
Human
肿瘤
肿瘤免疫
发表日期：2026
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MMHC-OCPR: Prediction of Platinum Response and Recurrence Risk in Ovarian Cancer with Multimodal Deep Learning

MMHC-OCPR：基于多模态深度学习的卵巢癌铂类药物疗效和复发风险预测

期刊:Biomedicines
影响因子:3.9
doi:10.3390/biomedicines14020348
Tang, Enyu; Xia, Haoming; Yuan, Zhenlong; Zhao, Yuting; Wang, Shengnan; Ye, Zhenbang; Gao, Shangshu; Zhou, Ziqi; Zhao, Yuxi; Zeng, Jia; Lyu, Nenan; Zuo, Jing; Li, Ning; Ying, Jianming; Wu, Lingying
多发性骨髓瘤
肿瘤
肿瘤免疫
卵巢癌
发表日期：2026
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Efficacy and safety of lorlatinib in first-line and subsequent-line treatments for patients with ALK-positive non-small cell lung cancer: a single-center real-world study in China

洛拉替尼一线及后续治疗ALK阳性非小细胞肺癌患者的疗效和安全性：一项中国单中心真实世界研究

期刊:Translational Lung Cancer Research
影响因子:3.5
doi:10.21037/tlcr-2025-aw-1148
Wu, Lige; Liu, Jiayu; Zou, Zihua; Zhang, Xin; Li, Yan; Hao, Xuezhi; Ying, Jianming; Li, Junling; Xing, Puyuan
肺癌
肿瘤
肿瘤免疫
ALK
细胞生物学
发表日期：2026
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Multi-omics profiling reveals CDKN2A mutant early-onset lung squamous cell carcinoma with a "hot" tumor immune microenvironment

多组学分析揭示了CDKN2A突变型早发性肺鳞状细胞癌具有“热”肿瘤免疫微环境

期刊:Translational Lung Cancer Research
影响因子:3.5
doi:10.21037/tlcr-2025-1130
Zhang, Ying; Yuan, Pei; Wang, Bingzhi; Gao, Lina; Wang, Bingning; Hao, Xin; Guo, Lei; Ying, Jianming
肿瘤
肿瘤免疫
CDKN2A
细胞生物学
免疫/内分泌
发表日期：2026
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Correlation analysis between growth heterogeneity and genetic mutations in resected subsolid lung adenocarcinoma based on long-term computed tomography (CT) follow-up

基于长期计算机断层扫描（CT）随访的切除亚实性肺腺癌中生长异质性与基因突变的相关性分析

期刊:Translational Lung Cancer Research
影响因子:3.5
doi:10.21037/tlcr-2025-aw-1249
Cui, Shulei; Qi, Linlin; Li, Fenglan; Jia, Jia; Chen, Jiaqi; Cheng, Sainan; Ying, Jianming; Wang, Jianwei
肿瘤
肿瘤免疫
发表日期：2026
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Integrated analysis reveals GSTA1 as a prognostic biomarker in stage I lung adenocarcinoma.

综合分析表明，GSTA1 是 I 期肺腺癌的预后生物标志物。

期刊:BMC Cancer
影响因子:3.4
doi:10.1186/s12885-025-15518-6
Ren Jingyu, Zeng Hui, Zhang Guochao, Ren Fangzhou, Yuan Zhenlong, Huang Yufei, Xu Jiaxi, Song Zehao, Li Wenbin, Ying Jianming, Xue Qi, Tan Fengwei
肿瘤
发表日期：2026
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Development and validation of a pathomics-driven machine learning model for individualized prediction of neoadjuvant chemotherapy response and early recurrence in HR-positive, HER2-negative breast cancer

开发和验证基于病理组学的机器学习模型，用于个体化预测HR阳性、HER2阴性乳腺癌新辅助化疗反应和早期复发

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2026.1770037
Yue, Jiaxian; Liu, Jiaxiang; Kang, Xiyu; Yuan, Pei; Wang, Wei; Wang, Zhanyu; Shang, Chao; Shang, Qingyao; Li, Guangyu; Dong, Xubin; Wang, Tianxiao; Yang, Dongmin; Wang, Shuhao; Yang, Chenxuan; Ying, Jianming; Wang, Xin
HER2
肿瘤
肿瘤免疫
乳腺癌
发表日期：2026
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