Expert Review of Anticancer Therapy

SCI期刊
Expert Review of Anticancer Therapy
中文名称:
抗癌治疗专家评论
期刊缩写:
EXPERT REV ANTICANC
影响因子:
2.9
ISSN:
print: 1473-7140
on-line: 1744-8328
研究领域:
医学-肿瘤学
创刊年份:
2001年
h-index:
59
自引率:
3.00%
Gold OA文章占比:
10.86%
原创研究文献占比:
34.91%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches. Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care. Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections: Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
5.10.8270.688
学科
排名
百分位
大类:Medicine
小类:Pharmacology (medical)
98 / 272
64%
大类:Medicine
小类:Oncology
165 / 404
59%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
3区 医学
4区 肿瘤学 ONCOLOGY
WOS期刊分区
学科分类
Q2ONCOLOGY
历年影响因子
2015年2.0940
2016年2.2120
2017年2.3470
2018年2.5710
2019年3.5730
2020年4.5120
2021年3.6270
2022年3.3000
2023年2.9000
历年发表
2012年180
2013年185
2014年159
2015年131
2016年148
2017年121
2018年127
2019年88
2020年148
2021年111
2022年100
投稿信息
出版周期:
Bimonthly
出版语言:
English
出版国家(地区):
ENGLAND
审稿时长:
4-8 weeks
出版商:
Taylor and Francis Ltd.
编辑部地址:
EXPERT REVIEWS, UNITEC HOUSE, 3RD FL, 2 ALBERT PLACE, FINCHLEY CENTRAL, LONDON, ENGLAND, N3 1QB

Expert Review of Anticancer Therapy - 最新文献

JARID2 activation by NFYA promotes stemness of triple-negative breast cancer cells through the PI3K/AKT pathway.

Pub Date : 2024-09-10 DOI: 10.1080/14737140.2024.2394167 Jianjie Li,Xiangmei Zhang,Xueliang Liu,Xiangmin Ma,Yanfang Wang,Yunjiang Liu

Implementing Machine Learning to Predict Survival Outcomes in Patients with Resected Pulmonary Large Cell Neuroendocrine Carcinoma.

Pub Date : 2024-09-06 DOI: 10.1080/14737140.2024.2401446 Min Liang, Shantanu Singh, Jian Huang

Current immunotherapy techniques in meningioma.

Pub Date : 2024-09-04 DOI: 10.1080/14737140.2024.2399252 Alexandra J White, Maya Harary, Joshua Casaos, Richard G Everson
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