Journal of Assisted Reproduction and Genetics

Papers
(The H4-Index of Journal of Assisted Reproduction and Genetics is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Perspectives on the development and future of oocyte IVM in clinical practice105
A brief insight into the etiology, genetics, and immunology of polycystic ovarian syndrome (PCOS)63
Genetic factors as potential molecular markers of human oocyte and embryo quality62
A narrative review of platelet-rich plasma (PRP) in reproductive medicine61
The impact of the female genital tract microbiome in women health and reproduction: a review60
Embryo selection with artificial intelligence: how to evaluate and compare methods?54
PGT-A: who and when? Α systematic review and network meta-analysis of RCTs54
Endometrial preparation for frozen–thawed embryo transfer cycles: a systematic review and network meta-analysis46
Psychological distress and postponed fertility care during the COVID-19 pandemic44
Oxidative stress markers in the follicular fluid of patients with polycystic ovary syndrome correlate with a decrease in embryo quality44
Thoughts on the popularity of ICSI38
Uterus transplantation: state of the art in 202134
A View from the past into our collective future: the oncofertility consortium vision statement34
Fertility preservation for genetic diseases leading to premature ovarian insufficiency (POI)33
Effects of COVID-19 vaccination status, vaccine type, and vaccination interval on IVF pregnancy outcomes in infertile couples32
A cohort study of men infected with COVID-19 for presence of SARS-CoV-2 virus in their semen32
Utilization of preimplantation genetic testing in the USA32
Epigenetics of pregnancy: looking beyond the DNA code31
Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–201831
Should there be an “AI” in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm30
The process of ovarian aging: it is not just about oocytes and granulosa cells29
Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF29
Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory28
SARS-CoV-2 effects on sperm parameters: a meta-analysis study28
Lack of trusted diagnostic tools for undetermined male infertility27
The changing world of IVF: the pros and cons of new business models offering assisted reproductive technologies26
In vivo and in vitro postovulatory aging: when time works against oocyte quality?26
Trophectoderm biopsy protocols may impact the rate of mosaic blastocysts in cycles with pre-implantation genetic testing for aneuploidy26
Ovarian response to intraovarian platelet-rich plasma (PRP) administration: hypotheses and potential mechanisms of action26
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