Cancer Imaging

Cancer Imaging

癌症成像

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Cancer Imaging》是由BioMed Central出版社于2000年创办的英文国际期刊(ISSN: 1470-7330,E-ISSN: 1470-7330),该期刊长期致力于肿瘤学领域的创新研究,主要研究方向为ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING。作为SCI、SCIE收录期刊(JCR分区 Q1,中科院 2区),本刊采用OA开放获取模式(OA占比1%),以发表肿瘤学领域等方向的原创性研究为核心(研究类文章占比93.59%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在156篇,确保学术质量与前沿性。成果覆盖Web of ScienceWeb of Science、Scopus等国际权威数据库,为学者提供推动医学领域高水平交流平台。

投稿咨询

投稿提示

Cancer Imaging审稿周期约为>12周,或约稿。该刊近年未被列入国际预警名单,年发文量约156篇,录用竞争适中,主题需确保紧密契合医学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 医学 大类学科
  • English 出版语言
  • 是否预警
  • SCI、SCIE 期刊收录
  • 156 发文量

中科院分区

《新锐期刊分区表》(2026年3月发布)

Top期刊 综述期刊 大类学科 小类学科
医学
2区
ONCOLOGY 肿瘤学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
2区 2区

期刊分区表(2025年3月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
2区
ONCOLOGY 肿瘤学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
2区 2区

期刊分区表(2023年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
2区
ONCOLOGY 肿瘤学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
2区 2区

期刊分区表(2022年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
2区
ONCOLOGY 肿瘤学 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
2区 2区

期刊分区表(2021年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
2区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学 ONCOLOGY 肿瘤学
2区 3区

JCR分区

2025-2026年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ONCOLOGY SCIE Q2 92 / 333

72.5

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 33 / 217

85

学科:ONCOLOGY SCIE Q1 74 / 333

77.93

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 42 / 217

80.88

2023-2024年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ONCOLOGY SCIE Q2 107 / 322

66.9

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 38 / 204

81.6

学科:ONCOLOGY SCIE Q1 78 / 322

75.93

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 42 / 204

79.66

CiteScore(2026年6月最新版)

CiteScore SJR SNIP CiteScore 排名
CiteScore:5.9 SJR:1.16 SNIP:1.242
学科类别 分区 排名 百分位
大类:Medicine 小类:Radiology, Nuclear Medicine and Imaging Q1 64 / 361

82%

大类:Medicine 小类:Oncology Q2 113 / 428

73%

大类:Medicine 小类:Radiological and Ultrasound Technology Q2 18 / 64

72%

期刊发文

  • Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: CT vs MR

    Author: Yu, Feifei; Yuan, Junhui; Lin, Xiaoye; Wang, Feng; Yu, Lan; Yu, Shujie; Zhu, Youquan; Song, Yang; Cao, Dairong; Chen, Jieyun; Xing, Zhen

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01018-8

  • The result prediction of fluorescence in situ hybridization for breast cancer patients based on machine learning and deep learning models: a multicenter stud

    Author: Jiang, Cong; Chen, Dong; Yu, Xiao; Zhang, Shentao; Xiu, Yuting; Luo, Ningbin; Wu, Jingjing; Zhang, Xuefang; Chen, Man; Yang, Dechun; Zhu, Ziyu; Huang, Yuanxi; Ning, Shipeng; Tang, Shicong

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01015-x

  • Prediction of MYC/BCL-2 co-expression in diffuse large B-cell lymphoma using a multimodal fusion model: a retrospective study based on PET/CT habitat radiomics and deep learnin

    Author: He, Yu; Chen, Shirong; Li, Xinyang; Yi, Jingkai; Wang, Dan; Qi, Kailin; Jiang, Xiao; Wu, Ping; Zhao, Meng; Lu, Hao; Kou, Ying; Yao, Yutang; Cheng, Zhuzhong

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01014-y

  • MRI based unsuperviced clustering on MIBC reveals intratumor heterogeneity phenotypes and neoadjuvant chemotherapy efficac

    Author: Zhang, Yuheng; Cai, Lingkai; Chen, Yuhan; Bai, Rongjie; Wang, Chenghao; Tan, Zhengye; Chen, Chang; Liu, Xiaotong; Liang, Bo; Jiang, Meihua; Wang, Gongcheng; Shao, Qiang; Jiang, Xuping; Bao, Meiling; Yu, Hao; Cao, Qiang; Yang, Xiao; Lu, Qiang

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01007-x

  • From radiologic morphology to component proportion: a multicenter study on the progression and prognosis of lung adenocarcinoma with cystic airspace

    Author: Fu, Chenghao; Bian, Chengyu; Du, Haonan; Wang, Yuheng; Zhang, Jia; Li, Xiang; Cao, Lei; Zhu, Jian; Wang, Jun

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01009-9

  • Developing an interpretable machine learning model via SHAP to predict HCC postoperative survival based on tumor immune microenvironment CODEX immunomics and MR

    Author: Zou, Wenjie; Peng, Kangsheng; Yang, Muye; Zhang, Yingxi; Liu, Wanming; Jia, Ningyang; Song, Kairong; Xu, Jiaping; Wang, Peijun

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01006-y

  • CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective stud

    Author: Qin, Kai; Lu, Jianchao; Li, Na; Zhu, Jie; Peng, Lin; Xiang, Jiayu; Jin, Yi; Yang, Pei; Chen, Junqiang; Wang, Qifeng

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01005-z

  • Primary osseous kaposiform hemangioendothelioma confined to long bones: a retrospective imaging analysis of 12 pediatric case

    Author: Hao, Zhenliang; Gao, Dalin; Huang, Shan; Gu, Dalong; Yang, Fan; Ding, Yi; Yan, Dong

    Journal: CANCER IMAGING. 2026; Vol. 26, Issue 1, pp. -. DOI: 10.1186/s40644-026-01002-2