基于CiteSpace的植物遗传转化研究热点与趋势分析

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中图分类号Q943.2 文献标识码A 文章编号 1007-7731（2025）16-0076-06

DOI号 10.16377/j.cnki.issn1007-7731.2025.16.017

AbstractTo explore the research hotspotsand trends in plant genetic transformation，this studyanalyzed 413 relevantarticles fromtheCNKIdatabase from January1，1982，toOctober 21，2O24，using CiteSpace software.The analysis included visual representationsof publicationvolume，sources，research institutions，authors，and keywords. The results showed that the period from1982 to 1996 was an exploratory phase，with an average annual output of 1.6 articles;1996 to 2010 markedagrowth phase，withanaverageof15.7articles peryear;and 2010to 2024sawadecline， with an average of 12.2 articles annually.Journals with higher publication volumes included Molecular Plant Breeding， BiotechnologyBuletin，and Anhui Agricultural Sciences.The institutions with the most publications were theCollgeof Horticulture at Northwest A&F University and the State Key Laboratory of Tree Genetics and Breding at Northeast ForestryUniversity，with8and6articles，respectively.Liu Caixia from NortheastForestry Universityhadthehighest number of publications，totaling 6articles.The network density of institutionalandauthor collaboration networks was 0.002 4 andO.Oo3 3，respectively，indicating aned forstronger communicationand cooperationamong institutions and researchers.Research hotspots primarilyfocusedon plant expression vectors，Agrobacterium，and plants.Keywords were clustered into two majorcategories： one labeled plants，including tomato，medicinal plants，corn，tobacco，potato，and Arabidopsis;and theotherlabeled biotechnologyencompassing plant expresionvectors，plant genetic transformation， tisue culture，andantibiotics.From l995to 2O06，burst keywords included gene gun and plants，among 6others;from 2006 to 020，burstkeywords included plant expresionvectorsand8others; in2021，theburst keyword planthormones emerged，which may representafuture research focus.This study providesareference forrelated research and practices inplant genetic transformation. Keywords plant genetic transformation; CiteSpace; bibliometrics; visual analysis

植物遗传转化技术是利用基因工程手段将外源基因导入植物基因组并获得新性状的完整植株。（剩余6550字）