Radiologia Medica SCIE

國(guó)際簡(jiǎn)稱：RADIOL MED 參考譯名：醫(yī)學(xué)放射學(xué)

主要研究方向：醫(yī)學(xué)-核醫(yī)學(xué) 預(yù)警期刊審稿周期：偏慢,4-8周

《醫(yī)學(xué)放射學(xué)》(Radiologia Medica)是一本由Springer Milan出版的以醫(yī)學(xué)-核醫(yī)學(xué)為研究特色的國(guó)際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評(píng)論文章和綜述文章，及時(shí)報(bào)道該領(lǐng)域相關(guān)理論、實(shí)踐和應(yīng)用學(xué)科的最新發(fā)現(xiàn)，旨在促進(jìn)該學(xué)科領(lǐng)域科學(xué)信息的快速交流。該期刊是一本未開(kāi)放期刊。該期刊享有很高的科學(xué)聲譽(yù)，影響因子不斷增加，發(fā)行量也同樣高。

1區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
153 年發(fā)文量
9.7 IF影響因子
未開(kāi)放 是否OA
41 H-index
2006 創(chuàng)刊年份
Monthly 出版周期
Multi-Language 出版語(yǔ)言

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.

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Radiologia Medica期刊信息

ISSN：0033-8362
出版語(yǔ)言：Multi-Language
是否OA：未開(kāi)放
E-ISSN：1826-6983
出版地區(qū)：ITALY
是否預(yù)警：是
出版商：Springer Milan
出版周期：Monthly
創(chuàng)刊時(shí)間：2006
開(kāi)源占比：0.2115
Gold OA文章占比：38.33%
OA被引用占比：0.0319...
出版國(guó)人文章占比：0.07
出版撤稿占比：0
研究類文章占比：92.81%

Radiologia Medica CiteScore評(píng)價(jià)數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

14.1

1.251

1.229

學(xué)科類別	分區(qū)	排名	百分位
大類：Medicine 小類：Radiology, Nuclear Medicine and Imaging	Q1	11 / 333	96%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個(gè)指標(biāo)。當(dāng)年CiteScore 的計(jì)算依據(jù)是期刊最近4年（含計(jì)算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。例如，2022年的 CiteScore 計(jì)算方法為：2022年的 CiteScore =2019-2022年收到的對(duì)2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻(xiàn)數(shù)量注：文獻(xiàn)類型包括：文章、評(píng)論、會(huì)議論文、書(shū)籍章節(jié)和數(shù)據(jù)論文。

Radiologia Medica中科院評(píng)價(jià)數(shù)據(jù)

中科院 2023年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
是	否	醫(yī)學(xué)	1區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	1區(qū)

中科院 2022年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	醫(yī)學(xué)	2區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	2區(qū)

中科院 2021年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	醫(yī)學(xué)	2區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	2區(qū)

中科院 2021年12月基礎(chǔ)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	醫(yī)學(xué)	4區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	4區(qū)

中科院 2021年12月升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	醫(yī)學(xué)	2區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	2區(qū)

中科院 2020年12月舊的升級(jí)版

Top期刊	綜述期刊	大類學(xué)科		小類學(xué)科
否	否	醫(yī)學(xué)	3區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	3區(qū)

Radiologia Medica JCR評(píng)價(jià)數(shù)據(jù)（2023-2024年最新版）

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	4 / 204	98.3%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	7 / 204	96.81%

Radiologia Medica歷年數(shù)據(jù)統(tǒng)計(jì)

影響因子

中科院分區(qū)

Radiologia Medica中國(guó)學(xué)者發(fā)文選摘

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