Cancer Biomarkers

SCI SCIE

国际简称：CANCER BIOMARK 参考译名：癌症生物标志物

主要研究方向：ONCOLOGY 非预警期刊审稿周期：约3.0个月

《癌症生物标志物》(Cancer Biomarkers)是一本由SAGE Publications (formerly IOS Press)出版的以ONCOLOGY为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊，近三年没有被列入预警名单。

4区中科院分区
Q4 JCR分区
73 年发文量
1.8 IF影响因子
开放是否OA
33 H-index
2005 创刊年份
Bimonthly 出版周期
English 出版语言

Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.

The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.

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Cancer Biomarkers期刊信息

ISSN：1574-0153
出版语言：English
是否OA：开放
E-ISSN：1875-8592
出版地区：NETHERLANDS
是否预警：否
出版商：SAGE Publications (formerly IOS Press)
出版周期：Bimonthly
创刊时间：2005
开源占比：0.0537
Gold OA文章占比：42.32%
OA被引用占比：0
出版国人文章占比：0.73
出版撤稿占比：0.0314...
研究类文章占比：95.89%

Cancer Biomarkers CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

4.3

0.572

0.561

学科类别	分区	排名	百分位
大类：Medicine 小类：Oncology	Q2	201 / 428	53%
大类：Medicine 小类：Genetics	Q3	182 / 357	49%
大类：Medicine 小类：Cancer Research	Q3	150 / 233	35%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Cancer Biomarkers中科院评价数据

《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
否	否	医学	4区	ONCOLOGY 肿瘤学	4区

Cancer Biomarkers JCR评价数据

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	SCIE	Q4	264 / 333	20.9
学科：ONCOLOGY	SCIE	Q3	224 / 333	32.88

Cancer Biomarkers历年数据统计

影响因子

中科院分区

Cancer Biomarkers中国学者发文选摘

1、Bidirectional Mendelian randomization analysis reveals significant associations between Serum DNA repair proteins and liver cance
Author: Lin, Sihao; Fang, Kunpeng; Geng, Li

Journal: CANCER BIOMARKERS. 2026; Vol. 43, Issue , pp. -. DOI: 10.1177/18758592261429328
2、Expression of serum HMGB1, SAA, and TSGF in patients with colon cancer and the value of prognostic assessmen
Author: Wang, Kaifeng; Huang, Junxing

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 6, pp. -. DOI: 10.1177/18758592241297848
3、Knockdown of MACC1 expression attenuates colorectal cancer cell glucose metabolism by suppressing GLUT4 membrane translocatio
Author: Li, Qingke; Liu, Yankun; Wang, Zhiwu; Li, Yufeng; He, Lifang; Li, Jingwu

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 6, pp. -. DOI: 10.1177/18758592251332426
4、The change of soluble programmed cell death ligand-1 (sPD-L1): A new predictor of prognosis in hypopharyngeal squamous cell carcinoma patients treated with radiotherap
Author: Zhou, Zihan; Ding, Xingchen; Bai, Xinbin; Yang, Jia; Xu, Jin; Xu, Juan; Chen, Yunhao; Jiang, Shumei; Hu, Man

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 5, pp. -. DOI: 10.1177/18758592251343041
5、Multi-omics pan-cancer analysis of monocyte to macrophage differentiation-associated (MMD) and its significance in hepatocellular carcinom
Author: Bai, Suyang; Wang, Yuping; Zhou, Yongning; Qiao, Liang

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 5, pp. -. DOI: 10.1177/18758592251329280
6、Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorith
Author: Li, Qingfeng; Li, Wenting; Wang, Jianliang; Li, Xiangyuan; Ji, Yi; Wu, Mianhua

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 5, pp. -. DOI: 10.1177/18758592251332852
7、Machine learning reveals the role of telomerase activation-related genes in the prognosis of neuroblastom
Author: Chen, Renhai; Fan, Kaisi; Li, Jinhao; Zhao, Qianyun; Ding, Xiaoting; Li, Yongteng; Wang, Jianjun; Yu, Daiyue; Yang, Liucheng; Kai, Wu

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 5, pp. -. DOI: 10.1177/18758592241306263
8、Development and validation of a CT-based radiomics nomogram for predicting cervical lymph node metastasis in papillary thyroid carcinom
Author: Zhang, Fengyan; Bai, Jingjing; Liu, Botao; Yuan, Miao; Fang, Changxing; Yang, Guoqiang; Qiao, Ying

Journal: CANCER BIOMARKERS. 2025; Vol. 42, Issue 4, pp. -. DOI: 10.1177/18758592251322028