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Combinatorial Chemistry & High Throughput ScreeningSCIE

国际简称：COMB CHEM HIGH T SCR 参考译名：组合化学和高通量筛选

中科院分区
4区
CiteScore分区
Q3
JCR分区
Q3

基本信息：: ISSN：1386-2073; E-ISSN：1875-5402; 是否OA：未开放; 是否预警：否; TOP期刊：否

出版信息：: 出版地区：UNITED STATES; 出版商：Bentham Science Publishers B.V.; 出版语言：English; 出版周期：Bimonthly; 出版年份：1998; 研究方向：化学-生化研究方法

评价信息：: 影响因子：1.6; H-index：59; CiteScore指数：3.1; SJR指数：0.301; SNIP指数：0.404

发文数据：: Gold OA文章占比：3.62%; 研究类文章占比：80.26%; 年发文量：233; 自引率：0.0555...; 开源占比：0.0085; 出版撤稿占比：0; 出版国人文章占比：0; OA被引用占比：0

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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Combinatorial Chemistry & High Throughput Screening期刊介绍

Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:

Target identification and validation

Assay design, development, miniaturization and comparison

High throughput/high content/in silico screening and associated technologies

Label-free detection technologies and applications

Stem cell technologies

Biomarkers

ADMET/PK/PD methodologies and screening

Probe discovery and development, hit to lead optimization

Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)

Chemical library design and chemical diversity

Chemo/bio-informatics, data mining

Compound management

Pharmacognosy

Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)

Natural Product Analytical Studies

Bipharmaceutical studies of Natural products

Drug repurposing

Data management and statistical analysis

Laboratory automation, robotics, microfluidics, signal detection technologies

Current & Future Institutional Research Profile

Technology transfer, legal and licensing issues

Patents.

期刊简介Combinatorial Chemistry & High Throughput Screening期刊介绍

《Combinatorial Chemistry & High Throughput Screening》自1998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。该刊近一年未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：较慢,6-12周
医学
BIOCHEMICAL RESEARCH METHODS
SCIE
中科院4区
非预警

Cite Score数据（2024年最新版）Combinatorial Chemistry & High Throughput Screening Cite Score数据

CiteScore：3.1
SJR：0.301
SNIP：0.404

学科类别	分区	排名	百分位
大类：Computer Science 小类：Computer Science Applications	Q3	464 / 817	43%
大类：Computer Science 小类：Organic Chemistry	Q3	142 / 211	32%
大类：Computer Science 小类：Drug Discovery	Q3	112 / 157	28%

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Combinatorial Chemistry & High Throughput Screening 中科院分区

中科院 2023年12月升级版 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
医学	4区	BIOCHEMICAL RESEARCH METHODS 生化研究方法 CHEMISTRY, APPLIED 应用化学 PHARMACOLOGY & PHARMACY 药学	4区 4区 4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Combinatorial Chemistry & High Throughput Screening 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：BIOCHEMICAL RESEARCH METHODS	SCIE	Q4	69 / 85	19.4%
学科：CHEMISTRY, APPLIED	SCIE	Q3	48 / 74	35.8%
学科：PHARMACOLOGY & PHARMACY	SCIE	Q3	259 / 354	27%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：BIOCHEMICAL RESEARCH METHODS	SCIE	Q3	60 / 85	30%
学科：CHEMISTRY, APPLIED	SCIE	Q2	34 / 74	54.73%
学科：PHARMACOLOGY & PHARMACY	SCIE	Q3	236 / 354	33.47%

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

本刊中国学者近年发表论文

1、Analysis of the Molecular Mechanism of Huangqi Herb Treating COVID-19 with Myocardial Injury by Pharmacological Tools, Programming Software and Molecular Docking
Author: Zhou, Yan; Chu, Yuguang; Shi, Jingjing; Hu, Yuanhui

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 5, pp. 1015-1029. DOI: 10.2174/1386207325666220713092756
2、Expression of MCMs in Endometrial Cancer and its Biological Correlation Analysis
Author: Zhen, Yu; Fu, Hanlin; Si, Lulu; Lai, Tianjiao; Chu, Danxia; Guo, Ruixia

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 4, pp. 815-825. DOI: 10.2174/1386207325666220705111240
3、SIX1: A Prognostic Biomarker in Uterine Corpus Endometrial Carcinoma
Author: Zhao, Quangang; Chen, Guohua; Yang, Xin; Wang, Taiyong; Yuan, Shuhong; Meng, Qi

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 2, pp. 330-338. DOI: 10.2174/1386207325666220404121856
4、Resveratrol Ameliorates LPS-induced Acute Lung Injury Mouse Model via Induction of Tristetraprolin
Author: Zhang, Yonghong; Wang, Guizuo; Zhang, Dexin; Sun, Xiuzhen

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 4, pp. 838-847. DOI: 10.2174/1386207325666220601123047
5、Establishment of a High Throughput Screening System for GABA(A1) Modulators in Living Cells
Author: Zhang, Yi; Shi, Tong; Chen, Xuejun; Zhang, Ruihua; Shi, Jingjing; Jin, Qian; Xu, Jianfu; Wang, Chen; Li, Liqin

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 4, pp. 801-814. DOI: 10.2174/1386207325666220627163438
6、Emodin Reduces Inflammatory and Nociceptive Responses in Different Pain-and Inflammation-Induced Mouse Models
Author: Zhang, Xiuli; Li, Jing; Guan, Lili

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 5, pp. 989-1000. DOI: 10.2174/1386207325666220514145252
7、Identification of Hub Genes and Biomarkers between Hyperandrogen and Normoandrogen Polycystic Ovary Syndrome by Bioinformatics Analysis
Author: Zhang, Tianwei; Liu, Yang; Li, Xiaodong; Hu, Baoshan

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 1, pp. 126-134. DOI: 10.2174/1386207325666220404101009
8、Effect of the Ruan Jian Qing Mai Recipe on Wound Healing in Diabetic Mice and Prediction of its Potential Targets
Author: Zhang, Pei; Wang, Zefeng; Shi, Yongjia; Yao, Guangtao; Cao, Yemin; Zhang, Jiange

Journal: COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. 2023; Vol. 26, Issue 2, pp. 392-409. DOI: 10.2174/1386207325666220418095316