Quantitative Biology
ISSN:2095-4689

Quantitative Biology

QUANT BIOL
学科领域:生物学
是否预警:不在预警名单内
是否OA:
录用周期:-
新锐分区:生物学4区
年发文量:33
影响因子:1.4
JCR分区:Q4

基本信息

-
2095-4689ESCI/Scopus收录
1.4
0
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
生物学4区
MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学
4区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY
ESCI
Q4
57/67
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY
ESCI
Q4
64/67
暂无h-index数据
33
50%---MATHEMATICAL & COMPUTATIONAL BIOLOGY-
7.1%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
81.82%100%-
CiteScore:2.00
SJR:0.328
SNIP:0.222
学科类别分区排名百分位
大类:Mathematics
小类:Applied Mathematics
Q3
363 / 665
大类:Mathematics
小类:Modeling and Simulation
Q3
217 / 361
大类:Mathematics
小类:Biochemistry, Genetics and Molecular Biology (miscellaneous)
Q3
78 / 125
大类:Mathematics
小类:Computer Science Applications
Q3
629 / 947

期刊高被引文献

Predicting enhancer-promoter interaction from genomic sequence with deep neural networks
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0154-0
Progress in molecular docking
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0172-y
Emerging deep learning methods for single-cell RNA-seq data analysis
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0189-2
A survey of web resources and tools for the study of TCM network pharmacology
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0167-8
Algorithmic approaches to clonal reconstruction in heterogeneous cell populations
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0188-3
Current challenges and solutions of de novo assembly
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0166-9
Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0181-x
Applications of single-cell technology on bacterial analysis
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0177-6
WIPER: Weighted in-Path Edge Ranking for biomolecular association networks
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0180-y
Insights into the antineoplastic mechanism of Chelidonium majus via systems pharmacology approach
来源期刊:Quantitative BiologyDOI:10.1007/S40484-019-0165-X
A survey of some tensor analysis techniques for biological systems
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0186-5
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0176-7
WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0184-7
Molecular modeling studies of repandusinic acid as potent small molecule for hepatitis B virus through molecular docking and ADME analysis
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0179-4
Computational prediction and functional analysis of arsenic-binding proteins in human cells
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0169-6
A model of NSCLC microenvironment predicts optimal receptor targets
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0171-z
Identification of candidate disease genes in patients with common variable immunodeficiency
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0174-9
Predicting microRNA-disease association based on microRNA structural and functional similarity network
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0170-0
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0175-8
2019 China Symposium on Single-Cell Genomics
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0178-5
Differential methylation analysis for bisulfite sequencing using DSS
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0183-8
Understanding traditional Chinese medicine via statistical learning of expert-specific Electronic Medical Records
来源期刊:Quantitative BiologyDOI:10.1007/s40484-019-0173-x

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