Radiology-imaging Cancer

Radiology-imaging Cancer

放射影像癌症

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Radiology-imaging Cancer》是由Radiological Society of North America Inc.出版社创办的英文国际期刊(ISSN: 2638-616X),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Multiple。作为SCIE收录期刊(JCR分区 Q1,中科院 2区),本刊采用OA未开放获取模式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83.82%%)。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68篇,确保学术质量与前沿性。成果覆盖Web 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

Radiology-imaging Cancer该刊近年未被列入国际预警名单,年发文量约68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
  • 是否预警
  • SCIE 期刊收录
  • 68 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

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 ESCI Q1 53 / 333

84.2

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING ESCI Q1 16 / 217

92.9

学科:ONCOLOGY ESCI Q1 59 / 333

82.43

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING ESCI Q1 35 / 217

84.1

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 ESCI Q1 56 / 322

82.8

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING ESCI Q1 16 / 204

92.4

学科:ONCOLOGY ESCI Q2 95 / 322

70.65

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING ESCI Q2 57 / 204

72.3

CiteScore(2026年6月最新版)

CiteScore SJR SNIP CiteScore 排名
CiteScore:4.8 SJR:1.082 SNIP:1.685
学科类别 分区 排名 百分位
大类:Medicine 小类:Radiology, Nuclear Medicine and Imaging Q2 101 / 361

72%

大类:Medicine 小类:Oncology Q2 167 / 428

61%

期刊发文

  • Assessing an Automated Noncontrast CT-based Pipeline for Sacral Tumor Classification Using a Hip Bone Reference Fram

    Author: Zheng, Fei; Yin, Ping; Liang, Kewei; Yang, Li; Liu, Tao; Zhang, Wenjia; Wang, Yujian; Hao, Wenhan; Hao, Qi; Hong, Nan

    Journal: RADIOLOGY-IMAGING CANCER. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1148/rycan.250098

  • Gadoxetic Acid-enhanced MRI Radiomics Features of Tumor Margins for Predicting High-Risk Solitary Hepatocellular Carcinoma Aggressiveness and Prognosi

    Author: Yu, Can; Wang, Xinxin; Tang, Shuli; Li, Yan; Han, Shuai; Zhang, Qiuju; Qu, Jinrong; Xu, Haitao; Zhou, Yang

    Journal: RADIOLOGY-IMAGING CANCER. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1148/rycan.250220

  • Risk Model for Predicting Aggressive Recurrence of Hepatocellular Carcinoma after Microwave Ablation Using MRI and Clinical Parameter

    Author: Wei, Ran; Zuo, Mengxuan; Li, Wang; Liu, Wendao; Li, Chengzhi; An, Chao

    Journal: RADIOLOGY-IMAGING CANCER. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1148/rycan.250304

  • Arterial-Washout Temporal Profiling in CEUS LI-RADS: A Diagnostic Algorithm for Reducing Hepatocellular Carcinoma Misclassificatio

    Author: Wang, Yang; Zhu, Zhixian; Zhu, Mengjiao; Wu, Size

    Journal: RADIOLOGY-IMAGING CANCER. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1148/rycan.250259

  • Preoperative CT-based Radiomics for Predicting Response to Neoadjuvant Chemoimmunotherapy in Esophageal Squamous Cell Carcinom

    Author: Chen, Dongni; Wang, Weidong; Li, Qianqian; Rao, Xuguang; Shi, Xiaoshun; Lu, Di; Diao, Dingwei; Zhai, Jianxue; Cai, Kaican

    Journal: RADIOLOGY-IMAGING CANCER. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1148/rycan.250128

  • Automatic Segmentation and Molecular Subtype Classification of Breast Cancer Using an MRI-based Deep Learning Framewor

    Author: Wang, Xiaoxia; Hu, Xiaofei; Wang, Churan; Yang, Hua; Hu, Yan; Lan, Xiaosong; Huang, Yao; Cao, Ying; Yan, Lijun; Zhang, Fandong; Yu, Yizhou; Zhang, Jiuquan

    Journal: RADIOLOGY-IMAGING CANCER. 2025; Vol. 7, Issue 3, pp. -. DOI: 10.1148/rycan.240184

  • Benign and Malignant Breast Lesions: Differentiation Using MicrostructuralMetrics Derived from Time-Dependent Diffusion MR

    Author: Su, Yun; Qiu, Ya; Huang, Xingke; Peng, Yuqin; Yang, Zehong; Ding, Miamiao; Hu, Lanxin; Wang, Yishi; Zhao, Chen; Qian, Wenshu; Zhang, Xiang; Shen, Jun

    Journal: RADIOLOGY-IMAGING CANCER. 2025; Vol. 7, Issue 3, pp. -. DOI: 10.1148/rycan.240287

  • Evaluating Automated Tools for Lesion Detection on 18F Fluoroestradiol PET/CT Images and Assessment of Concordance with Standard-of-Care Imaging in Metastatic Breast Cance

    Author: Miller, Renee; Battle, Mark; Wangerin, Kristen; Huff, Daniel T.; Weisman, Amy J.; Chen, Song; Perk, Timothy G.; Ulaner, Gary A

    Journal: RADIOLOGY-IMAGING CANCER. 2025; Vol. 7, Issue 3, pp. -. DOI: 10.1148/rycan.240253