GetPortalImpactFactorByIdResp(projectId=1, id=b4b67416, cover=https://img.medsci.cn/images/journal/cover/2021/dPl_202109271315016900.jpg, fullname=Expert Opinion on Drug Metabolism & Toxicology, abbr=EXPERT OPIN DRUG MET, pyear=2005, frequence=Monthly, articleNumbers=1183, citedSelf2015=3.5, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=暂无数据, reviewFee=null, pageFee=null, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=1742-5255, greenSci=https://www.greensci.net/search?kw=1742-5255, scijournal=https://www.scijournal.org/impact-factor-of-EXPERT-OPIN-DRUG-MET.shtml, medsciHotlightString=null, medsciHotlightRealtime=2.239, medsciHotlight=2.186, medsciHotlight5year=3.60555, citescore=0.0, hIndex=82, impactFactor=4.3, orgnization=Taylor and Francis Ltd., orgnizationUrl=http://www.informapharmascienc, country=United Kingdom, countryCn=英国, isOa=3, isOaString=部分OA, sciScie=Science Citation Index Expanded|Current Contents - Life Sciences|BIOSIS Previews|BIOSIS Reviews Reports And Meetings, bigclassCas=医学 3区, smallclassCas=医学 3 区, website=https://www.tandfonline.com/loi/iemt20#.V48aFkz9cSQ, websiteHits=5919, guideForAuthor=null, guideForAuthorHits=5, submitWebsite=https://mc.manuscriptcentral.com/eomt, submitWebsiteHits=1915, content=Advanced drug discovery technologies are yielding a dramatic increase in the number of potential drug candidates. However, optimisation of these compounds is becoming increasingly reliant on absorption, distribution, metabolism and excretion (ADME), and toxicological (Tox) issues, a major bottleneck in the drug discovery process. At least 50% of all drug failures in pharmaceutical research are believed to be due to ADME-Tox considerations. Therefore, the ability to solve the ADME-Tox issues of a drug candidate before clinical testing has become of utmost importance in rendering the drug development process more efficient and cost-effective. Furthermore, the continued study of metabolic, pharmacokinetic and toxicological issues surrounding existing compounds is of great importance in the optimisation of drug regimens and therapeutic strategies. Through systematic review and evaluation, Expert Opinion on Drug Metabolism & Toxicology provides a forum for the commentary and analysis of current and emerging research approaches in the ADME-Tox arena, as well as metabolic, pharmacokinetic and toxicological issues relating to specific drugs or drug classes. The journal contains the following article types: Reviews - cover every aspect of drug metabolism and toxicology including in vitro assays, toxicology screens, in vitro, in vivo and in silico ADME models, and pharmacokinetic studies; Drug Evaluations - assess metabolic, pharmacokinetic and toxicological issues related to a specific drug; Technology Profiles - provide analysis of individual technologies, offering readers a comprehensive overview of the specific technology under review; Perspectives - highlight areas of controversy and debate within the field; Meeting Highlights - provide coverage of recent related conferences; Editorials - cover important issues pertaining to drug metabolism and toxicology. The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and related professionals., totalCites=5089, brief=EXPERT OPIN DRUG MET杂志医学行业，“<strong><a target="_blank" href="/sci/index.do?smallclass=生化与分子生物学" >生化与分子生物学</a></strong>”子行业的中等级别杂志, articleType=本刊可能只接收综述类文章或很多文章不被WOS收录, medsciHeat=黑红, medsciComment=EXPERT OPIN DRUG MET在该细分领域可能是一流杂志，可能是创刊时间短或不是热门学科，整体来说，国内学者关注度仍然不够。对于投稿而言，建议多向"&abbr&"投稿，当然期刊也应该加强品牌宣传。, medsciExplanation=MedSci期刊指数是根据中国科研工作者（含医学临床，基础，生物，化学等学科）对SCI杂志的认知度，熟悉程度，以及投稿的量等众多指标综合评定而成。当然，具体的，您还可以结合“<a href='https://www.medsci.cn/sci/submit.do?id=b4b67416'>投稿经验系统</a>”，进行综合判断，这更是大家的实战经验，值得分享和参考。<br> 注意，上述MedSci期刊指数采用MedSci专利技术，由计算机系统自动计算，并给出建议，存在不准确的可能，仅供您投稿选择杂志时参考。, tags=[ImpactFactorTagDto(id=716, tagName=代谢, createdHits=3)], citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2016, citescore=3.08), GetImpactFactorCiteScoreListResponse(year=2017, citescore=3.04), GetImpactFactorCiteScoreListResponse(year=2018, citescore=3.08), GetImpactFactorCiteScoreListResponse(year=2019, citescore=6.4), GetImpactFactorCiteScoreListResponse(year=2020, citescore=0.0)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=3.451), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=2.155), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=1.843), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=2.118), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=2.239)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Toxicology , rank=14/116), GetImpactFactorCiteScoreGradeResponse(smallClass=Pharmacology , rank=56/301)], totalJcrAreaList=[GetImpactFactorCiteScoreGradeResponse(smallClass=TOXICOLOGY - SCIE , rank=24/92), GetImpactFactorCiteScoreGradeResponse(smallClass=PHARMACOLOGY & PHARMACY - SCIE , rank=84/270), GetImpactFactorCiteScoreGradeResponse(smallClass=BIOCHEMISTRY & MOLECULAR BIOLOGY - SCIE , rank=124/297)], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1742-5255[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=Expert Opinion on Drug Metabolism & Toxicology[ta], article_number=60, article_number_cn=3, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)