INTEGRATION METHODS FOR MULTI-OMICS DATA: A BIBLIOMETRIC ANALYSIS

Authors : Ahu Cephe

Pages : 274-284

Doi:10.34108/eujhs.1585598

View : 74 | Download : 62

Publication Date : 2025-08-15

Article Type : Research Paper

Abstract :The primary objective of this study is to conduct a bibliometric analysis of multi-omics publications from 2013 to 2023 in the Web of Science database, utilizing visual mapping techniques. Network maps were generated using Biblioshiny and VOS viewer software to illustrate the published trends over the investigated period. A comprehensive examination of 714 articles from 298 journals aimed to unveil the intellectual structure and emerging trends in the multi-omics field. For this purpose, co-authorship, bibliographic coupling, and co-occurrence analyses were conducted for country, institution, source, author, and keyword productivity. During the study period, China emerged as the leading contributor to multi-omics publications, while the USA secured the highest number of multi-omics citations. The most frequently occurring terms in the author\\\'s keywords were identified as \\\"multi-omics,\\\" \\\"data-integration,\\\" and \\\"metabolomics.\\\" The study also determined \\\"Bioinformatics Briefings\\\" as both the most relevant source and the most cited. Temporal analysis indicated a noteworthy increase in publications from 2013 to 2022. This observation suggests a significant rise in interest and research activity in the multi-omics field during the specified period.
Keywords : Bibliyometrik analiz, ortak yazarlık, veri entegrasyonu, gen ifadesi, çoklu-omikler

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