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

The DAG/PKC/CREB1/TGF-β1 axis drives shear-wave elastography stiffness and malignant progression in triple-negative breast cancer via lipid metabolic reprogramming

DAG/PKC/CREB1/TGF-β1轴通过脂质代谢重编程驱动三阴性乳腺癌的剪切波弹性成像硬度和恶性进展

期刊:Cell Death & Disease
影响因子:9.6
doi:10.1038/s41419-026-08625-0
Wang, Shiyu; Zheng, Dongdong; Wang, Ziqi; Hou, Ruoqing; Zhang, Zhiming; You, Zhanping; Zhou, Jin; Huang, Yunxia; Quan, Mengyao; Zhou, Jian; Chang, Cai; Zhou, Shichong
肿瘤
肿瘤免疫
TGF-β
乳腺癌
代谢
CREB
代谢重编程
TGF-β1
PKC
EB1
发表日期：2026
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BMI and Breast Subcutaneous Fat: Potential Indicators for Ultrasound Diagnosis of Breast Cancer?

BMI和乳房皮下脂肪：乳腺癌超声诊断的潜在指标？

期刊:Journal of Ultrasound in Medicine
影响因子:2.4
doi:10.1002/jum.70096
Wang, Shiyu; Zhou, Jin; Huang, Yunxia; Zheng, Dongdong; Hou, Ruoqing; Zhou, Shichong
肿瘤
肿瘤免疫
乳腺癌
发表日期：2026
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SURF: A Self-Supervised Deep Learning Method for Reference-Free Deconvolution in Spatial Transcriptomics

SURF：一种用于空间转录组学中无参考反卷积的自监督深度学习方法

期刊:Advanced Science
影响因子:14.1
doi:10.1002/advs.202505456
Liang, Shuyu; Zhou, Zixia; Huang, Peng; Fu, Junhu; Jiao, Jing; Huang, Yunxia; Zhou, Shichong; Wang, Guanlin; Wang, Yuanyuan; Guo, Yi
发表日期：2025
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Artificial intelligence-assisted ultrasound screening for breast cancer in China: a prospective, clustered, controlled, population-based study

中国人工智能辅助超声筛查乳腺癌：一项前瞻性、集群、对照、基于人群的研究

期刊:Breast Cancer Research
影响因子:5.6
doi:10.1186/s13058-025-02128-0
Shen, Jie; Liu, Yajing; Liu, Aihong; Gu, Xiaoqin; Zhou, Jin; Jiang, Peng; Mo, Miao; Zhang, Li; Yang, Chen; Zhou, Changming; Wang, Zezhou; Xie, Zhenyu; Yao, Wen; Zhou, Shichong; Zheng, Ying; Chang, Cai
肿瘤
肿瘤免疫
乳腺癌
发表日期：2025
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Using Cancer-Associated Fibroblasts as a Shear-Wave Elastography Imaging Biomarker to Predict Anti-PD-1 Efficacy of Triple-Negative Breast Cancer.

利用癌症相关成纤维细胞作为剪切波弹性成像生物标志物预测抗PD-1治疗三阴性乳腺癌的疗效

期刊:International Journal of Molecular Sciences
影响因子:4.9
doi:10.3390/ijms26083525
Zhang Zhiming, Liang Shuyu, Zheng Dongdong, Wang Shiyu, Zhou Jin, Wang Ziqi, Huang Yunxia, Chang Cai, Wang Yuanyuan, Guo Yi, Zhou Shichong
细胞生物学
肿瘤免疫
发表日期：2025
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Deep learning-based super-resolution US radiomics to differentiate testicular seminoma and non-seminoma: an international multicenter study

基于深度学习的超分辨率超声放射组学鉴别睾丸精原细胞瘤和非精原细胞瘤：一项国际多中心研究

期刊:Insights into Imaging
影响因子:4.5
doi:10.1186/s13244-025-02045-y
Zhang, Yafang; Lu, Shilin; Peng, Chuan; Zhou, Shichong; Campo, Irene; Bertolotto, Michele; Li, Qian; Wang, Zhiyuan; Xu, Dong; Wang, Yun; Xu, Jinshun; Wu, Qinfu; Hu, Xiaoying; Zheng, Wei; Zhou, Jianhua
细胞生物学
发表日期：2025
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A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years

一种基于深度学习和放射组学的尖端超声列线图，可精确预测75岁及以上乳腺癌患者腋窝淋巴结转移情况。

期刊:Frontiers in Endocrinology
影响因子:4.6
doi:10.3389/fendo.2024.1323452
Qian, Lang; Liu, Xihui; Zhou, Shichong; Zhi, Wenxiang; Zhang, Kai; Li, Haoqiu; Li, Jiawei; Chang, Cai
肿瘤免疫
肿瘤
乳腺癌
发表日期：2024
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Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer

揭示三阴性和非三阴性乳腺癌中超声和体细胞突变的关键网络

期刊:Breast Cancer-Targets and Therapy
影响因子:3.4
doi:10.2147/BCTT.S408997
Huang, Yunxia; Guo, Yi; Xiao, Qin; Liang, Shuyu; Yu, Qiang; Qian, Lang; Zhou, Jin; Le, Jian; Pei, Yuchen; Wang, Lei; Chang, Cai; Chen, Sheng; Zhou, Shichong
细胞生物学
肿瘤
肿瘤免疫
乳腺癌
发表日期：2023
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Application of ultrasound-based radiomics models of breast masses to predict invasive components of encapsulated papillary carcinoma

应用基于超声的乳腺肿块放射组学模型预测包膜乳头状癌的浸润成分

期刊:Quantitative Imaging in Medicine and Surgery
影响因子:2.3
doi:10.21037/qims-22-1069
Zhou, Jin; Liu, Chaoxu; Shi, Zhaoting; Li, Xiaokang; Chang, Cai; Zhi, Wenxiang; Zhou, Shichong
肿瘤免疫
肿瘤
发表日期：2023
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Engineering of rice varieties with enhanced resistances to both blast and bacterial blight diseases via CRISPR/Cas9

通过 CRISPR/Cas9 改造水稻品种，增强对稻瘟病和细菌性枯萎病的抗性

期刊:Plant Biotechnology Journal
影响因子:10.1
doi:10.1111/pbi.13766
Yanbiao Zhou, Shichong Xu, Nan Jiang, Xinhui Zhao, Zhenan Bai, Jinling Liu, Wei Yao, Qianying Tang, Gui Xiao, Chao Lv, Kai Wang, Xiaochun Hu, Junjie Tan, Yuanzhu Yang
微生物学
发表日期：2022
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