INTRODUCTION: Genomic data analysis is a field that deals with the processing and interpretation of large amounts of genetic data. Studies in this field offer researchers the opportunity to work in many fields. In addition, bibliometric analyses are an important tool in identifying publications and trends in the field of genomic data analysis. The purpose of this bibliometric review is to analyse the current status and trends to identify trends and prevalence of worldwide research in the field of genomic data analysis and to guide the advancement of research in this field.
METHODS: In this bibliometric study, genomic data analysis studies conducted globally between 1993-2023 were examined. As a result of the searches made using the keyword "genomic data analysis", 258 studies were found and 173 articles were used by eliminating the unsuitable and non-article studies. The articles in the database were analyzed using information such as title, author names, publication year, journal name and number of citations. Web of Science and Scopus databases was used for systematic data collection and all text data of the publications included in the study were evaluated with VOSviewer software. These analyses were performed using text mining and data visualization methods (bubble maps and other graphical) to ensure the accuracy and reliability of the study.
RESULTS: In this article, information is given about 173 articles taken from the WOS and Scopus databases and 8706 citations to these articles. The average number of citations per article was calculated as 51 and the H index as 28. Since 2013, both the number of articles and the number of citations have increased. Most of the articles (60%) are devoted to mathematical biology, biochemical, genetic inheritance. The United States of America is the country that publishes the most (47%) articles on this subject. Most of the articles (59%) were published by publishers such as Springer Nature, Oxford University Press, Elsevier, Wiley. Most of the articles (91%) are in SCI-Expanded category.
DISCUSSION AND CONCLUSION: The findings of our study show that many researchers are active in the field of genomic data analysis and that the researches in this field are increasing. This bibliometric analysis reveals global trends and important work in the field of genomic data analysis and provides important insights into the future directions of research in this field. Since this analysis only aims to identify trends and trends in the literature, it is not intended to evaluate the applicability of this topic.