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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 |
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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 |
文章处理费 | 登录后查看 |
始发年份 | 1998 |
年文章数 | 233 |
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 | 否 | 否 |
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% |
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Chemistry Organic Chemistry |
118 / 177 | 33% |
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Computer Science Computer Science Applications |
316 / 569 | 44% |
补充信息
自引率 | 4.70% |
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H-index | 59 |
SCI收录状况 | Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
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 |
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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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