Strahlentherapie Und Onkologie

Strahlentherapie Und Onkologie

放射治疗和肿瘤学

  • 3区 中科院分区
  • Q2 JCR分区

期刊简介

《Strahlentherapie Und Onkologie》是由Springer Berlin Heidelberg出版社于1997年创办的英文国际期刊(ISSN: 0179-7158,E-ISSN: 1439-099X),该期刊长期致力于核医学领域的创新研究,主要研究方向为医学-核医学。作为SCIE收录期刊(JCR分区 Q2,中科院 3区),本刊采用OA未开放获取模式(OA占比0.2057...%),以发表核医学领域等方向的原创性研究为核心(研究类文章占比84.55%%)。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110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。

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投稿提示

Strahlentherapie Und Onkologie审稿周期约为 一般,3-8周 。该刊近年未被列入国际预警名单,年发文量约110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
  • Multi-Language 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 110 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
医学
3区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学 ONCOLOGY 肿瘤学
3区 4区

中科院 SCI 期刊分区 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
3区 3区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ONCOLOGY SCIE Q3 163 / 322

49.5%

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q2 68 / 204

66.9%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ONCOLOGY SCIE Q2 135 / 322

58.23%

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q2 86 / 204

58.09%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:5.7 SJR:0.907 SNIP:1.057
学科类别 分区 排名 百分位
大类:Medicine 小类:Radiology, Nuclear Medicine and Imaging Q1 78 / 333

76%

大类:Medicine 小类:Oncology Q2 141 / 404

65%

期刊发文

  • CircDLG1 promotes malignant development of non-small cell lung cancer through regulation of the miR-630/CENPF axis

    Author: Chen, Yingying; Zhang, Ying

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. 199, Issue 2, pp. 169-181. DOI: 10.1007/s00066-022-01965-8

  • Dose-effect relationship between dose-volume parameters of residual gross tumor volume and clinical prognosis in MRI-guided adaptive brachytherapy for locally advanced cervical cancer: a single-center retrospective study

    Author: Ke, Tianyang; Wang, Jinbao; Zhang, Ning; Zhao, Hongfu; Guo, Xin; Zhao, Zhipeng; Mao, Zhuang; Cheng, Guanghui

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. 199, Issue 2, pp. 131-140. DOI: 10.1007/s00066-022-02000-6

  • Knockdown of circ-ADAM9 inhibits malignant phenotype and enhances radiosensitivity in breast cancer cells via acting as a sponge for miR-383-5p

    Author: Song, Penghui; Wu, Jianjun; Chen, Jianbing; Wang, Fang; Chen, Jingmei; Wang, Guanyu

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. 199, Issue 1, pp. 78-89. DOI: 10.1007/s00066-022-02006-0

  • Safety and efficacy associated with single-fraction high-dose-rate brachytherapy in localized prostate cancer: a systematic review and meta-analysis

    Author: Zeng, Hong; Dai, Jindong; Cao, Dehong; Wang, Minghao; Zhao, Jinge; Zeng, Yuhao; Xu, Nanwei; Xie, Yandong; Liu, Haolin; Zeng, Hao; Sun, Guangxi; Shen, Pengfei

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s00066-023-02063-z

  • A nomogram to predict the cumulative risk for brain metastases in patients with limited-stage small cell lung cancer without prophylactic cranial irradiation

    Author: Liu, Jianjiang; Wu, Dongping; Shen, Bin; Chen, Mengyuan; Zhou, Xia; Zhang, Peng; Qiu, Guoqin; Ji, Yongling; Du, Xianghui; Yang, Yang

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s00066-023-02073-x

  • Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy

    Author: Wang, Hao; Liu, Xiao; Kong, Lingke; Huang, Ying; Chen, Hua; Ma, Xiurui; Duan, Yanhua; Shao, Yan; Feng, Aihui; Shen, Zhenjiong; Gu, Hengle; Kong, Qing; Xu, Zhiyong; Zhou, Yongkang

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s00066-022-02039-5

  • Chemoradiotherapy for untreated Masaoka-Koga stage IVB thymic carcinoma: a single-center retrospective study

    Author: Jin, Jia-nan; Hao, Yue; Wang, Wen-xian; Wu, Shi-yan; Yue, Peng; Song, Zheng-bo

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. 199, Issue 3, pp. 313-321. DOI: 10.1007/s00066-022-02042-w

  • Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance

    Author: Huang, Ying; Pi, Yifei; Ma, Kui; Miao, Xiaojuan; Fu, Sichao; Chen, Hua; Wang, Hao; Gu, Hengle; Shao, Yan; Duan, Yanhua; Feng, Aihui; Zhuo, Weihai; Xu, Zhiyong

    Journal: STRAHLENTHERAPIE UND ONKOLOGIE. 2023; Vol. 199, Issue 5, pp. 498-510. DOI: 10.1007/s00066-023-02076-8