OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Aspirin for Evidence-Based Preeclampsia Prevention trial: effect of aspirin on length of stay in the neonatal intensive care unit
D. Wright, Daniel L. Rolnik, Argyro Syngelaki, et al.
American Journal of Obstetrics and Gynecology (2018) Vol. 218, Iss. 6, pp. 612.e1-612.e6
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

The International Federation of Gynecology and Obstetrics (FIGO) initiative on pre‐eclampsia: A pragmatic guide for first‐trimester screening and prevention
Liona C. Poon, Andrew Shennan, Jonathan Hyett, et al.
International Journal of Gynecology & Obstetrics (2019) Vol. 145, Iss. S1, pp. 1-33
Open Access | Times Cited: 862

Screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation
Min Yi Tan, Argyro Syngelaki, Liona C. Poon, et al.
Ultrasound in Obstetrics and Gynecology (2018) Vol. 52, Iss. 2, pp. 186-195
Open Access | Times Cited: 338

Antiplatelet agents for preventing pre-eclampsia and its complications
Lelia Duley, Shireen Meher, Kylie E Hunter, et al.
Cochrane library (2019) Vol. 2019, Iss. 10
Open Access | Times Cited: 302

Prevention of preeclampsia with aspirin
Daniel L. Rolnik, K. H. Nicolaides, Liona C. Poon
American Journal of Obstetrics and Gynecology (2020) Vol. 226, Iss. 2, pp. S1108-S1119
Closed Access | Times Cited: 265

First trimester preeclampsia screening and prediction
Piya Chaemsaithong, Daljit Singh Sahota, Liona C. Poon
American Journal of Obstetrics and Gynecology (2020) Vol. 226, Iss. 2, pp. S1071-S1097.e2
Closed Access | Times Cited: 238

The competing risk approach for prediction of preeclampsia
D. Wright, A. Wright, K. H. Nicolaides
American Journal of Obstetrics and Gynecology (2019) Vol. 223, Iss. 1, pp. 12-23.e7
Closed Access | Times Cited: 222

Predictive performance of the competing risk model in screening for preeclampsia
D. Wright, Min Yi Tan, N. O’Gorman, et al.
American Journal of Obstetrics and Gynecology (2018) Vol. 220, Iss. 2, pp. 199.e1-199.e13
Open Access | Times Cited: 180

Role of oxidative stress in the dysfunction of the placental endothelial nitric oxide synthase in preeclampsia
Paul Guerby, Oriane Tasta, Audrey Swiader, et al.
Redox Biology (2021) Vol. 40, pp. 101861-101861
Open Access | Times Cited: 177

Clinical tools and biomarkers to predict preeclampsia
Teresa M. MacDonald, Susan P. Walker, Natalie J. Hannan, et al.
EBioMedicine (2021) Vol. 75, pp. 103780-103780
Open Access | Times Cited: 165

Hypertensive disorders of pregnancy
Pensée Wu, Marcus Green, Jenny Myers
BMJ (2023), pp. e071653-e071653
Closed Access | Times Cited: 59

Prospective evaluation of screening performance of first-trimester prediction models for preterm preeclampsia in an Asian population
Piya Chaemsaithong, Ritsuko Pooh, Mingming Zheng, et al.
American Journal of Obstetrics and Gynecology (2019) Vol. 221, Iss. 6, pp. 650.e1-650.e16
Closed Access | Times Cited: 127

The Prediction of Gestational Hypertension, Preeclampsia and Fetal Growth Restriction via the First Trimester Screening of Plasma Exosomal C19MC microRNAs
Ilona Hromadníková, Lenka Dvořáková, Kateřina Kotlabová, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 12, pp. 2972-2972
Open Access | Times Cited: 103

Prediction of small for gestational age neonates: screening by maternal factors, fetal biometry, and biomarkers at 35–37 weeks’ gestation
Anca Marina Ciobanu, Angeliki Rouvali, Argyro Syngelaki, et al.
American Journal of Obstetrics and Gynecology (2019) Vol. 220, Iss. 5, pp. 486.e1-486.e11
Open Access | Times Cited: 95

The first-trimester of pregnancy – A window of opportunity for prediction and prevention of pregnancy complications and future life
Liona C. Poon, David McIntyre, Jonathan Hyett, et al.
Diabetes Research and Clinical Practice (2018) Vol. 145, pp. 20-30
Open Access | Times Cited: 93

A new model for screening for early-onset preeclampsia
Bernat Serra, Manel Mendoza, E. Scazzocchio, et al.
American Journal of Obstetrics and Gynecology (2020) Vol. 222, Iss. 6, pp. 608.e1-608.e18
Open Access | Times Cited: 93

Perspectives on the Use of Placental Growth Factor (PlGF) in the Prediction and Diagnosis of Pre-Eclampsia: Recent Insights and Future Steps
L. Creswell, N. O’Gorman, Kirsten R. Palmer, et al.
International Journal of Women s Health (2023) Vol. Volume 15, pp. 255-271
Open Access | Times Cited: 25

Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies
Vesela Kovacheva, Braden W Eberhard, Raphael Y. Cohen, et al.
Hypertension (2023) Vol. 81, Iss. 2, pp. 264-272
Open Access | Times Cited: 24

Prevention of preeclampsia
Fiona Brownfoot, Daniel L. Rolnik
Best Practice & Research Clinical Obstetrics & Gynaecology (2024) Vol. 93, pp. 102481-102481
Open Access | Times Cited: 14

Two-stage screening for preterm preeclampsia at 11–13 weeks’ gestation
A. Wright, D. Wright, Argyro Syngelaki, et al.
American Journal of Obstetrics and Gynecology (2018) Vol. 220, Iss. 2, pp. 197.e1-197.e11
Open Access | Times Cited: 60

The diagnostic value of angiogenic and antiangiogenic factors in differential diagnosis of preeclampsia
Stefan Verlohren, L Dröge
American Journal of Obstetrics and Gynecology (2020) Vol. 226, Iss. 2, pp. S1048-S1058
Closed Access | Times Cited: 60

Does low-dose aspirin initiated before 11 weeks’ gestation reduce the rate of preeclampsia?
Piya Chaemsaithong, Diana Cuenca-Gómez, Nieves Plana, et al.
American Journal of Obstetrics and Gynecology (2019) Vol. 222, Iss. 5, pp. 437-450
Closed Access | Times Cited: 55

Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China
Mengyuan Liu, Xiaofeng Yang, Guolu Chen, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 30

Pre‐eclampsia screening in Denmark (PRESIDE): national validation study
I. Riishede, Line Rode, Lene Sperling, et al.
Ultrasound in Obstetrics and Gynecology (2023) Vol. 61, Iss. 6, pp. 682-690
Open Access | Times Cited: 17

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