629
Articles
19.5K
Citations
1.8
avg. Impact Factor
63
h-index

Most Cited Articles of Department of Obstetrics and Gynaecology in 2020

TitleJournalYearCitations
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trialsPLoS Medicine202010
External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysisBMC Medicine20204
Inherited susceptibility to miscarriage: a nested case-control study of 31,565 women from an intergenerational cohortAmerican Journal of Obstetrics and Gynecology20204
Efficacy and safety of expectant management in the treatment of tubal ectopic pregnancy: a systematic review and meta-analysisHuman Reproduction Open20201
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020
Induction of labour at 41 weeks or expectant management until 42 weeks: A systematic review and an individual participant data meta-analysis of randomised trials2020