Mapping the genetic and genomic landscape of assisted reproductive technology outcomes: a bibliometric analysis (2014–2025)

Infertility is a major global health concern, and assisted reproductive technology (ART) is widely used to support conception. Genetic and genomic applications have increasingly been incorporated into ART to improve embryo selection and reproductive risk stratification; however, their impact on clinical outcomes such as live birth rates remains debated. This study aimed to evaluate global research trends and thematic development related to genetic and genomic applications in ART outcomes from 2014 to 2025. A bibliometric analysis was conducted using publications retrieved from Scopus, Web of Science, and PubMed. Following metadata harmonisation and duplicate removal using Bibliometrix in RStudio, 4876 unique publications were retained from 8533 records. Biblioshiny and VOSviewer were used to analyse publication trends, collaboration networks, thematic evolution, keyword co-occurrence, and citation patterns. Normalised citation indicators, including citations per year, were applied to minimise temporal bias. Publication output increased markedly after 2018, reflecting growing interest in genomic applications within ART. Research productivity was concentrated in high-income countries, particularly the USA, China, and Europe. Key research themes included embryo aneuploidy screening, preimplantation genetic testing, sequencing technologies, implantation outcomes, miscarriage reduction, and live birth prediction. Emerging themes included non-invasive embryo assessment, embryo mosaicism, and multi-omics integration. Genetic and genomic technologies have substantially influenced ART research, particularly in embryo assessment and reproductive outcome prediction. Future studies should prioritise clinical validation, standardised reporting, and broader international collaboration to determine the reproductive benefits of genomic innovations in ART.

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Publication Details

Journal
Journal of Assisted Reproduction and Genetics
Published
2026-06-29
DOI
https://doi.org/10.1007/s10815-026-03937-8
Primary Topic
Reproductive Health and Technologies
Type
article
Field-Weighted Citation Impact
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article

Mapping the genetic and genomic landscape of assisted reproductive technology outcomes: a bibliometric analysis (2014–2025)

Meghavi Soni, Shalaka Ramgir-Naidu
Journal of Assisted Reproduction and Genetics
Reproductive Health and Technologies
article

Mapping the genetic and genomic landscape of assisted reproductive technology outcomes: a bibliometric analysis (2014–2025)

Meghavi Soni, Shalaka Ramgir-Naidu
article en

Abstract

Infertility is a major global health concern, and assisted reproductive technology (ART) is widely used to support conception. Genetic and genomic applications have increasingly been incorporated into ART to improve embryo selection and reproductive risk stratification; however, their impact on clinical outcomes such as live birth rates remains debated. This study aimed to evaluate global research trends and thematic development related to genetic and genomic applications in ART outcomes from 2014 to 2025. A bibliometric analysis was conducted using publications retrieved from Scopus, Web of Science, and PubMed. Following metadata harmonisation and duplicate removal using Bibliometrix in RStudio, 4876 unique publications were retained from 8533 records. Biblioshiny and VOSviewer were used to analyse publication trends, collaboration networks, thematic evolution, keyword co-occurrence, and citation patterns. Normalised citation indicators, including citations per year, were applied to minimise temporal bias. Publication output increased markedly after 2018, reflecting growing interest in genomic applications within ART. Research productivity was concentrated in high-income countries, particularly the USA, China, and Europe. Key research themes included embryo aneuploidy screening, preimplantation genetic testing, sequencing technologies, implantation outcomes, miscarriage reduction, and live birth prediction. Emerging themes included non-invasive embryo assessment, embryo mosaicism, and multi-omics integration. Genetic and genomic technologies have substantially influenced ART research, particularly in embryo assessment and reproductive outcome prediction. Future studies should prioritise clinical validation, standardised reporting, and broader international collaboration to determine the reproductive benefits of genomic innovations in ART.

Journal of Assisted Reproduction and Genetics
Symbiosis International University (IN)
Openalex Percentile: Top 7%
Reproductive Health and Technologies
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