Expert Opinion on Drug Discovery

Expert Opinion on Drug Discovery 由 Informa Healthcare 出版，属中科院医学大类（2025 升级版2区）。按 OpenAlex 近年发文统计，该刊主要发表 Computational Drug Discovery Methods、Receptor Mechanisms and Signaling、Cell Image Analysis Techniques 等主题的论文，这 3 个主题约占 36%，主导子领域为 Molecular Biology。（根据 OpenAlex 主题统计与中科院分区数据生成）

Aims and scopeJournal metrics Editorial board Expert Opinion on Drug Discovery (1746-0441; 1746-045X) is a MEDLINE-indexed, international subscription-based journal publishing rigorously peer-reviewed review articles in drug discovery. Expert Opinion on Drug Discovery publishes original research and review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the impact of the topic on research and clinical practice and the scope for future development. The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimization at the preclinical level. Articles focus on the following key areas: Chemoinformatics Bioinformatics Assay development Novel screening technologies In vitro/in vivo models Structure-based drug design Systems biology The journal also publishes drug case histories examining the steps involved in the preclinical and clinical development of a particular drug. Please note that the journal does not publish case reports or case series. Comprehensive coverage in each review is complemented by the unique Expert Collection format and includes the following sections: Expert Opinion – a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results; Article Highlights – an executive summary of the author’s most critical points. Once your paper has been assessed for suitability by the Editorial Team, it will then be double-anonymous peer-reviewed by independent, expert referees. Reach an international clinical and medical audience alongside other key opinion leaders in your field by publishing with Expert Opinion on Drug Discovery, part of the Expert Collection brand. Authors can choose to publish gold open access in this journal. For any pre-submissions enquiries, please contact the Commissioning Editor. Read full aims and scope

摘自期刊官网 Aims & Scope

研究方向（LetPub）：医学-药学

中科院期刊分区表

数据库收录

SCIEScopusLetPub

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

影响因子

7.44LetPub · 2026-09-13

CiteScore 2026-06

9.9LetPub · 2026-09-13

SJR 2026-06

1.29LetPub · 2026-09-13

SNIP 2026-06

1.2LetPub · 2026-09-13

h-index

50LetPub · 2026-09-13

h-index

114OpenAlex · 2026-10-01

i10-index

1,445OpenAlex · 2026-10-01

两年平均被引

7.19OpenAlex · 2026-10-01

自引率

1.4%LetPub · 2026-09-13

Gold OA 文章占比

7.09%LetPub · 2026-09-13

发文规模

年文章数

100LetPub · 2026-09-13

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。

其他来源

平均审稿速度（社区反馈）

较慢,6-12周LetPub · 2026-09-13

平均录用比例（社区反馈）

较易LetPub · 2026-09-13

评审方式

双盲同行评审出版商官网

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。

尚未从任何来源获得费用信息，请以期刊官网为准。

混合期刊的文章处理费仅在作者选择开放获取发表时收取；按订阅方式发表通常不收费。

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

Informa Healthcare

出版国家或地区

ENGLAND

出版语言

English

出版周期

Bimonthly

创刊年份

2006

ISSN

1746-0441

电子版 ISSN

1746-045X

官网最新一期

Volume 21, Issue 9（2026 年）

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗出版商官网
• 专刊 / 特刊征稿 ↗出版商官网