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Radiologia MedicaSCIE

国际简称：RADIOL MED 参考译名：医学放射学

中科院分区
1区
CiteScore分区
Q1
JCR分区
Q1

基本信息：: ISSN：0033-8362; E-ISSN：1826-6983; 是否OA：未开放; 是否预警：是; TOP期刊：是

出版信息：: 出版地区：ITALY; 出版商：Springer Milan; 出版语言：Multi-Language; 出版周期：Monthly; 出版年份：2006; 研究方向：医学-核医学

评价信息：: 影响因子：9.7; H-index：41; CiteScore指数：14.1; SJR指数：1.251; SNIP指数：1.229

发文数据：: Gold OA文章占比：38.33%; 研究类文章占比：92.81%; 年发文量：153; 自引率：0.0786...; 开源占比：0.2115; 出版撤稿占比：0; 出版国人文章占比：0.07; OA被引用占比：0.0319...

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英文简介期刊介绍 CiteScore数据中科院SCI分区 JCR分区发文数据常见问题

英文简介Radiologia Medica期刊介绍

La radiologia medica, founded by Felice Perussia in 1914, is a peer-reviewed journal and the official organ of the Italian Society of Medical Radiology (SIRM). The journal is intended as a medium for the communication of results and developments in the field of Radiology, particularly on advances in diagnostic imaging and its allied sciences. The journal welcomes original contributions on both basic and clinical aspects of modern radiology and therapy, including diagnostic radiology and interventional techniques, with special emphasis on modern imaging techniques, radiotherapy, nuclear medicine, radiobiology and health physics. A distinguished Editorial Board and a selection of reports published in the form of original articles, review articles, editorials, short communications and letters to the editor render this publication indispensable for radiologists and related specialists. As of 2014 the journal is published monthly, online only and in English language. The Journal aims at being a forum for the international radiological community, therefore contributions coming from authors working in countries other than Italy are welcome. The journal visibility in the scientific community is further enhanced by its online edition, available at www.springerlink.com.

期刊简介Radiologia Medica期刊介绍

《Radiologia Medica》自2006出版以来，是一本医学优秀杂志。致力于发表原创科学研究结果，并为医学各个领域的原创研究提供一个展示平台，以促进医学领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道医学领域的最新进展和新发现新突破等。该刊近一年被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

预计审稿时间：偏慢,4-8周
国际TOP期刊
医学
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
SCIE
中科院1区
预警

Cite Score数据（2024年最新版）Radiologia Medica Cite Score数据

CiteScore：14.1
SJR：1.251
SNIP：1.229

学科类别	分区	排名	百分位
大类：Medicine 小类：Radiology, Nuclear Medicine and Imaging	Q1	11 / 333	96%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础，针对的是前四年发表的论文的引文。CiteScore的意义在于，它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法，而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Radiologia Medica 中科院分区

中科院 2023年12月升级版 综述期刊：否 Top期刊：是

大类学科	分区	小类学科	分区
医学	1区	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学	1区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Radiologia Medica JCR分区

2023-2024 年最新版

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	4 / 204	98.3%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	7 / 204	96.81%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计

国家/地区数量
Italy342
CHINA MAINLAND40
Turkey31
USA22
England18
South Korea13
Iran12
GERMANY (FED REP GER)11
Japan10
Switzerland9

本刊中国学者近年发表论文

1、Shear-wave elastography combined with contrast-enhanced ultrasound algorithm for noninvasive characterization of focal liver lesions
Author: Ruan, Si-min; Huang, Hui; Cheng, Mei-qing; Lin, Man-xia; Hu, Hang-tong; Huang, Yang; Li, Ming-de; Lu, Ming-de; Wang, Wei

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 1, pp. 6-15. DOI: 10.1007/s11547-022-01575-5
2、Development and validation of a 3D-convolutional neural network model based on chest CT for differentiating active pulmonary tuberculosis from community-acquired pneumonia
Author: Han, Dong; Chen, Yibing; Li, Xuechao; Li, Wen; Zhang, Xirong; He, Taiping; Yu, Yong; Dou, Yuequn; Duan, Haifeng; Yu, Nan

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 1, pp. 68-80. DOI: 10.1007/s11547-022-01580-8
3、Assessment of hepatic fat content and prediction of myocardial fibrosis in athletes by using proton density fat fraction sequence
Author: Liu, Tao; Dong, Ping; Zhou, Jin-Rong; Chen, Jing; Luo, Qian-Feng; Long, Shuang; Li, Jia-Li; Chen, Dong; Li, Yuan-Sheng

Journal: RADIOLOGIA MEDICA. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11547-022-01571-9
4、Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary adenocarcinoma
Author: Li, Yong; Liu, Jieke; Yang, Xi; Xu, Fuyang; Wang, Lu; He, Changjiu; Lin, Libo; Qing, Haomiao; Ren, Jing; Zhou, Peng

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 2, pp. 191-202. DOI: 10.1007/s11547-023-01591-z
5、Unambiguous radiologic extranodal extension determined by MRI could be a biomarker in predicting metastatic prostate cancer
Author: Han, Ye; Shen, Fan; Jiao, Jianhua; Xiao, Zunjian; Qin, Weijun; Ren, Jing; Huan, Yi

Journal: RADIOLOGIA MEDICA. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11547-023-01631-8
6、Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer
Author: Liu, Shangqing; Liang, Weiqi; Huang, Pinyu; Chen, Dianjie; He, Qinglie; Ning, Zhenyuan; Zhang, Yu; Xiong, Wei; Yu, Jiang; Chen, Tao

Journal: RADIOLOGIA MEDICA. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11547-023-01625-6
7、Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
Author: Wang, Qiang; Xu, Jianhua; Wang, Anrong; Chen, Yi; Wang, Tian; Chen, Danyu; Zhang, Jiaxing; Brismar, Torkel B. B.

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 2, pp. 136-148. DOI: 10.1007/s11547-023-01593-x
8、Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer
Author: Song, Xiao-Li; Luo, Hong-Jian; Ren, Jia-Liang; Yin, Ping; Liu, Ying; Niu, Jinliang; Hong, Nan

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 2, pp. 242-251. DOI: 10.1007/s11547-023-01590-0