Yan Wang , Liang Guo , Qifang Yu , Jie Hu , Yu Deng
{"title":"Commercial fish genomics: A bibliometric and visualized study","authors":"Yan Wang , Liang Guo , Qifang Yu , Jie Hu , Yu Deng","doi":"10.1016/j.repbre.2025.04.001","DOIUrl":null,"url":null,"abstract":"<div><div>Bibliometric analysis is a scientific computer-assisted review methodology that can visualize the knowledge base and associated trends and patterns in a given topic or scientific field based on a quantitative review of the corresponding literature. This study aimed to explore the publication trends and growth potential of commercial fish genomics. The Web of Science Core Collection database was used to collect the literature associated with commercial fish genomics from the period between 2000 and 2023. The visualization analysis was then achieved by using Microsoft Excel 2019, VOSviewer and CiteSpace V. This study offers a fresh perspective and clear roadmap regarding global trends and hotspots in the field of commercial fish genomics, which could also lay a foundation for researchers to guide further research interests.</div></div>","PeriodicalId":74667,"journal":{"name":"Reproduction and breeding","volume":"5 2","pages":"Pages 69-78"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reproduction and breeding","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667071225000195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Bibliometric analysis is a scientific computer-assisted review methodology that can visualize the knowledge base and associated trends and patterns in a given topic or scientific field based on a quantitative review of the corresponding literature. This study aimed to explore the publication trends and growth potential of commercial fish genomics. The Web of Science Core Collection database was used to collect the literature associated with commercial fish genomics from the period between 2000 and 2023. The visualization analysis was then achieved by using Microsoft Excel 2019, VOSviewer and CiteSpace V. This study offers a fresh perspective and clear roadmap regarding global trends and hotspots in the field of commercial fish genomics, which could also lay a foundation for researchers to guide further research interests.