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Phytochemical AnalysisSCIE

国际简称：PHYTOCHEM ANALYSIS 参考译名：植物化学分析

中科院分区
3区
CiteScore分区
Q1
JCR分区
Q2

基本信息：: ISSN：0958-0344; E-ISSN：1099-1565; 是否OA：未开放; 是否预警：否; TOP期刊：否

出版信息：: 出版地区：ENGLAND; 出版商：John Wiley and Sons Ltd; 出版语言：English; 出版周期：Bimonthly; 出版年份：1990; 研究方向：分析化学-生物

评价信息：: 影响因子：3; H-index：63; CiteScore指数：6; SJR指数：0.508; SNIP指数：0.873

发文数据：: Gold OA文章占比：9.67%; 研究类文章占比：93.20%; 年发文量：103; 自引率：0.0606...; 开源占比：0.0613; 出版撤稿占比：0; 出版国人文章占比：0.21; OA被引用占比：0.0602...

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英文简介期刊介绍 CiteScore数据中科院SCI分区 JCR分区发文数据常见问题

英文简介Phytochemical Analysis期刊介绍

Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.

期刊简介Phytochemical Analysis期刊介绍

《Phytochemical Analysis》自1990出版以来，是一本生物学优秀杂志。致力于发表原创科学研究结果，并为生物学各个领域的原创研究提供一个展示平台，以促进生物学领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道生物学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

预计审稿时间：约3.0个月
生物学
BIOCHEMICAL RESEARCH METHODS
SCIE
中科院3区
非预警

Cite Score数据（2024年最新版）Phytochemical Analysis Cite Score数据

CiteScore：6
SJR：0.508
SNIP：0.873

学科类别	分区	排名	百分位
大类：Agricultural and Biological Sciences 小类：Plant Science	Q1	82 / 516	84%
大类：Agricultural and Biological Sciences 小类：Complementary and Alternative Medicine	Q1	19 / 105	82%
大类：Agricultural and Biological Sciences 小类：Food Science	Q1	92 / 389	76%
大类：Agricultural and Biological Sciences 小类：Analytical Chemistry	Q2	47 / 156	70%
大类：Agricultural and Biological Sciences 小类：Drug Discovery	Q2	67 / 157	57%
大类：Agricultural and Biological Sciences 小类：Biochemistry	Q2	194 / 438	55%
大类：Agricultural and Biological Sciences 小类：Molecular Medicine	Q3	90 / 178	49%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础，针对的是前四年发表的论文的引文。CiteScore的意义在于，它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法，而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Phytochemical Analysis 中科院分区

中科院 2023年12月升级版 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
生物学	3区	BIOCHEMICAL RESEARCH METHODS 生化研究方法 CHEMISTRY, ANALYTICAL 分析化学 PLANT SCIENCES 植物科学	3区 3区 3区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Phytochemical Analysis JCR分区

2023-2024 年最新版

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：BIOCHEMICAL RESEARCH METHODS	SCIE	Q2	30 / 85	65.3%
学科：CHEMISTRY, ANALYTICAL	SCIE	Q2	41 / 106	61.8%
学科：PLANT SCIENCES	SCIE	Q2	74 / 265	72.3%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：BIOCHEMICAL RESEARCH METHODS	SCIE	Q2	38 / 85	55.88%
学科：CHEMISTRY, ANALYTICAL	SCIE	Q2	42 / 106	60.85%
学科：PLANT SCIENCES	SCIE	Q2	91 / 265	65.85%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计

国家/地区数量
CHINA MAINLAND81
Brazil29
GERMANY (FED REP GER)20
Italy17
England16
USA15
France12
India11
Japan10
Iran9

本刊中国学者近年发表论文

1、Integrating serum pharmacochemistry and network pharmacology to identify chemical markers for quality control of Apocyni Veneti Folium
Author: Shi, Xi; Long, Fang; Wu, Cheng-Ying; Zhou, Jing; Shen, Hong; Zhou, Shan-Shan; Xu, Jin-Di; Zhang, Wei; Li, Song-Lin

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 56-66. DOI: 10.1002/pca.3179
2、Ligand fishing of monoamine oxidase B inhibitors from Platycodon grandiflorus (Jacq.) A.DC. roots by the enzyme functionalised magnetic nanoparticles
Author: Yuan, Hao; Bai, Xiao-Lin; Hu, Yi-Kao; Fan, Wen-Qin; Ayeni, Emmanuel Ayodeji; Liao, Xun

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 67-75. DOI: 10.1002/pca.3180
3、A multivariate curve resolution-alternating least squares (MCR-ALS) technology assisted H-1-NMR methodology for multi-component quantitation of Trichosanthis Pericarpium injection
Author: Yang, Jiayu; Li, Wenzhu; Ding, Jinguo; Dong, Ying; Xie, Xinyuan; Zhao, Fang; Pan, Jianyang; Qu, Haibin

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 40-47. DOI: 10.1002/pca.3177
4、Quality marker prediction in Trillium tschonoskii based on UHPLC-MS chemical characterisation and network pharmacology
Author: Wang, Zhixin; Fu, Rao; Zhu, Na; Wang, Junqi; Zhang, Xiaorui; Huang, Xiulan; Li, Zhiyong

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 76-91. DOI: 10.1002/pca.3181
5、Ultra-high-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry coupled with three-step data post-processing techniques for comprehensive profiling of the multiple components in Fufang Xianzhuli Ye
Author: Wang, Lanxin; Fu, Huizheng; Li, Junmao; Chen, Linan; Yang, Jiaxi; Zhong, Lan; Xiao, Xiaowu; Feng, Yulin; Luo, Yuehua

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 92-104. DOI: 10.1002/pca.3182
6、Study on the spatial distribution of coumarins in Angelica dahurica root by MALDI-TOF-MSI
Author: Gao, Hui; Li, Qian

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 139-148. DOI: 10.1002/pca.3186
7、Simultaneous quantitative analysis of 11 constituents in Viticis Fructus by HPLC-HRMS and HPLC-DAD combined with chemometric methods
Author: Wu, Tingfen; Ma, Zhiguo; Zhang, Ying; Wu, Menghua; Cao, Hui

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 2, pp. 163-174. DOI: 10.1002/pca.3190
8、Chromatographic and mass spectrometric technologies for chemical analysis of Euodiae fructus: A review
Author: Xia, Hongmin; Dai, Yanpeng; Zhao, Chengxin; Zhang, Huimin; Shi, Yusheng; Lou, Hongxiang

Journal: PHYTOCHEMICAL ANALYSIS. 2023; Vol. 34, Issue 1, pp. 5-29. DOI: 10.1002/pca.3187