Network Biology

Network biology is a science that deals with the structure, function, regulation (control), design, and application, etc., of various biological networks. It is an interdisciplinary science based on life sciences (biology, ecology, medicine, etc.), mathematics and computational science (graph theory, network science, differential equations, computation methods, programming, etc.), systems science (complexity theory, selforganizology, etc.), and statistics, etc. The NETWORK BIOLOGY (ISSN 2220-8879; CODEN NBEICS) is an open access (BOAI definition), open peer reviewed online journal (users are free to read, download, copy, distribute, print, search, or link to the full texts of the articles) that considers scientific articles in all different areas of network biology. It is the transactions of the International Society of Network Biology. It dedicates to the latest advances in network biology (Zhang WJ. Fundamentals of Network Biology. World Scientific Europe, London, 2018). The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to: Theories, algorithms and programs of network analysis Evolution, dynamics, optimization and control of biological networks Network construction, link prediction Network topology, topological analysis, relationship between topological structure and network functions, sensitivity analysis, network robustness and stability Network flow analysis Design and formulation of biological networks Ecological networks, food webs and natural equilibrium, co-evolution, co-extinction, biodiversity conservation Metabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs and modules Physiological networks, social networks, epidemiological networks Network regulation of metabolic processes, human diseases and ecological systems System complexity, self-organization, emergence of biological systems, agent-based modeling, neural network modeling, and other network-based modeling, etc. Big data analytics of biological networks, meta-analysis, Mendelian randomization, casual inference, Bayesian inference, etc. We are also interested in short communications that clearly address a specific issue or completely present a new ecological network, food web, or metabolic or gene network, etc.

摘自期刊官网 Aims & Scope

主编 WenJun Zhang出版商官网

中科院期刊分区表

数据库收录

DOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

h-index

0OpenAlex · 2026-11-01

i10-index

0OpenAlex · 2026-11-01

两年平均被引

0OpenAlex · 2026-11-01

Gold OA 文章占比

0%LetPub · 2026-11-01

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

平均审稿速度（社区反馈）

5 WeeksLetPub · 2026-11-01

投稿到发表（期刊自报）

约 5 周DOAJ · 2026-11-01

评审方式

双盲同行评审DOAJ

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

• APC 费用说明 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

International Academy of Ecology and Environmental Sciences

出版国家或地区

Hong Kong

出版语言

English

ISSN

2220-8879

官方链接

• 期刊主页 ↗LetPub
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• APC 费用说明 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ
• 评审流程 ↗LetPub
• 编委会 ↗LetPub
• 查重政策 ↗DOAJ