S
Sergio Oehninger
Researcher at Eastern Virginia Medical School
Publications - 336
Citations - 16723
Sergio Oehninger is an academic researcher from Eastern Virginia Medical School. The author has contributed to research in topics: Sperm & Zona pellucida. The author has an hindex of 67, co-authored 334 publications receiving 16026 citations. Previous affiliations of Sergio Oehninger include Medical Research Council & Tygerberg Hospital.
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Journal ArticleDOI
Predictive value of abnormal sperm morphology in in vitro fertilization
Thinus F. Kruger,Anibal A. Acosta,Anibal A. Acosta,K.F. Simmons,K.F. Simmons,R.J. Swanson,R.J. Swanson,J.F. Matta,J.F. Matta,Sergio Oehninger,Sergio Oehninger +10 more
TL;DR: By evaluating sperm morphology with the proposed strict criteria, its predictive value in in vitro fertilization is enhanced.
Journal ArticleDOI
Follicle-stimulating hormone levels on cycle day 3 are predictive of in vitro fertilization outcome
Richard T. Scott,James P. Toner,Suheil J. Muasher,Sergio Oehninger,Shirley M. Robinson,Zev Rosenwaks +5 more
TL;DR: Cycle day 3 FSH levels are predictive of pregnancy outcome and stimulation characteristics in IVF, and may be useful in counseling patients.
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A revised structure for fucoidan may explain some of its biological activities
TL;DR: The revised average structure for fucoidan is consistent with previous studies suggesting a branched random coil as the best model for this polysaccharide and the proposed model is a closer structural analogue of the sulfated carbohydrate ligands that bind to selectins.
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Analysis of DNA fragmentation, plasma membrane translocation of phosphatidylserine and oxidative stress in human spermatozoa
TL;DR: Spermatozoa from infertile men display translocation of membrane phosphatidylserine as diagnosed by annexin V positive staining, and there is a relationship between DNA damage and oxidative stress.
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Sperm DNA quality predicts intrauterine insemination outcome: a prospective cohort study
TL;DR: The number of follicles, age of the woman/man and sperm DNA quality may predict IUI outcome, and the percentage of sperm with acid- + heat-resistant DNA were the parameters that predicted IUI outcomes in most of these data subsets.