分类:SCI期刊 时间:2023-08-31 17:15关注:(1)
生物学SCI三区期刊有哪些呢?SCI期刊是根据影响因子进行分区的,分区靠前的刊物学术水平会高一些,期刊论文的发表难度也高一些。期刊的选择是很关键的,要根据论文的要求选择符合的期刊投稿,接下来,详细的推荐三本生物学SCI期刊,仅供参考。
1、BIOESSAYS
学科领域:
大类:生物学
小类:生物学
中科院分区:3区
期刊简介:molecular – cellular – biomedical – physiology – translational research – systems - hypotheses encouraged
BioEssays is a peer-reviewed, review-and-discussion journal. Our aims are to publish novel insights, forward-looking reviews and commentaries in contemporary biology with a molecular, genetic, cellular, or physiological dimension, and serve as a discussion forum for new ideas in these areas. An additional goal is to encourage transdisciplinarity and integrative biology in the context of organismal studies, systems approaches, through to ecosystems, where appropriate.
2、AMINO ACIDS
学科领域:
大类:生物学
小类:生化与分子生物学
中科院分区:3区
期刊简介:Amino Acids publishes contributions from all fields of amino acid and protein research: analysis, separation, synthesis, biosynthesis, cross linking amino acids, racemization/enantiomers, modification of amino acids as phosphorylation, methylation, acetylation, glycosylation and nonenzymatic glycosylation, new roles for amino acids in physiology and pathophysiology, biology, amino acid analogues and derivatives, polyamines, radiated amino acids, peptides, stable isotopes and isotopes of amino acids. Applications in medicine, food chemistry, nutrition, gastroenterology, nephrology, neurochemistry, pharmacology, excitatory amino acids are just some of the topics covered. Fields of interest include: Biochemistry, food chemistry, nutrition, neurology, psychiatry, pharmacology, nephrology, gastroenterology, microbiology
3、PROTEOMICS
学科领域:
大类:生物学
小类:生化研究方法
中科院分区:3区
期刊简介:PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.