Immediate Impact
1 standout
Citing Papers
Preeclampsia pathophysiology and adverse outcomes during pregnancy and postpartum
2023 Standout
Works of J. Rieger being referenced
A machine-learning–based algorithm improves prediction of preeclampsia-associated adverse outcomes
2022
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| J. Rieger | 28 | 22 | 2 | 4 | 3 | 34 | |
| Jonathan Snyder | 30 | 16 | 3 | 2 | 33 | ||
| S Baloyi | 27 | 26 | 3 | 35 | |||
| Emma Siragher | 16 | 13 | 2 | 27 | |||
| Vladimiras Petrenko | 25 | 9 | 2 | 3 | 27 | ||
| Afshan Batool | 25 | 25 | 3 | 33 | |||
| Asta Zavackienė | 19 | 14 | 2 | 2 | 25 | ||
| Mikuláš Redecha | 21 | 10 | 4 | 26 | |||
| Karen Daniells | 24 | 25 | 1 | 2 | 27 | ||
| Costanza Pizzi | 21 | 21 | 5 | 3 | 32 | ||
| Claire Sutton | 23 | 21 | 3 | 36 |
All Works
Loading papers...