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Combinatorial Chemistry & High Throughput Screening
基本信息
期刊名称 Combinatorial Chemistry & High Throughput Screening
COMB CHEM HIGH T SCR
期刊ISSN 1386-2073
期刊官方网站 https://benthamscience.com/journals/combinatorial-chemistry-and-high-throughput-screening/
是否OA No
出版商 Bentham Science Publishers B.V.
出版周期 Bimonthly
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始发年份 1998
年文章数 233
最新影响因子 1.6(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
医学4区 BIOCHEMICAL RESEARCH METHODS 生化研究方法4区
CHEMISTRY, APPLIED 应用化学4区
PHARMACOLOGY & PHARMACY 药学4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.26 0.367 0.434
Pharmacology, Toxicology and Pharmaceutics
Drug Discovery
99 / 146 32%
Chemistry
Organic Chemistry
118 / 177 33%
Computer Science
Computer Science Applications
316 / 569 44%
补充信息
自引率 4.70%
H-index 59
SCI收录状况 Science Citation Index Expanded
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网友分享审稿时间 数据统计中,敬请期待。
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1386-2073%5BISSN%5D
投稿指南
期刊投稿网址 http://bsp-cms.eurekaselect.com/index.php/CCHTS/login?source=%2Findex.php%2FCCHTS
收稿范围
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

In these respective subject areas, Combinatorial Chemistry & High Throughput Screening is intended to function as the most comprehensive and up-to-date medium available. The journal should be of value to individuals engaged in the process of drug discovery and development, in the settings of industry, academia or government.
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