OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Externally validated prediction models for pre‐eclampsia: systematic review and meta‐analysis
Sofonyas Abebaw Tiruneh, T. T. T. Vu, Lisa Moran, et al.
Ultrasound in Obstetrics and Gynecology (2023) Vol. 63, Iss. 5, pp. 592-604
Open Access | Times Cited: 13

Showing 13 citing articles:

Prognostic prediction model for chronic postsurgical pain among adult patients: a systematic review and meta-analysis
Yanjie Dong, Huolin Zeng, Lei Yang, et al.
Anesthesiology and Perioperative Science (2025) Vol. 3, Iss. 2
Open Access

Temporal validation of machine learning models for pre-eclampsia prediction using routinely collected maternal characteristics: A validation study
Sofonyas Abebaw Tiruneh, Daniel L. Rolnik, Helena Teede, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110183-110183
Open Access

Women should not die of pregnancy-related acute kidney injury (PRAKI): revealing the underwater iceberg of maternal health
Alejandra Orozco-Guillén, Rasha Samir Shemies, Ghada Ankawi, et al.
Journal of Nephrology (2024) Vol. 37, Iss. 3, pp. 543-546
Open Access | Times Cited: 2

Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data
Sofonyas Abebaw Tiruneh, Daniel L. Rolnik, Helena Teede, et al.
International Journal of Medical Informatics (2024) Vol. 192, pp. 105645-105645
Open Access | Times Cited: 2

Risk Assessment for Preeclampsia in the Preconception Period Based on Maternal Clinical History via Machine Learning Methods
Yeliz Kaya, Zafer Bütün, Özer Çelik, et al.
Journal of Clinical Medicine (2024) Vol. 14, Iss. 1, pp. 155-155
Open Access | Times Cited: 2

Early prediction of preeclampsia using the first trimester vaginal microbiome
William F. Kindschuh, George I. Austin, Yoli Meydan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Machine Learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research
Contessa A. Ricci, Benjamin Crysup, Nicole Phillips, et al.
AJP Heart and Circulatory Physiology (2024) Vol. 327, Iss. 2, pp. H417-H432
Closed Access

Transcriptomic profile assessment for preeclampsia prediction and early diagnostics
André Melnik, V. E. Solovyova, Yu. O. Yatsenko, et al.
Obstetrics Gynecology and Reproduction (2024)
Open Access

Nursing Care for Mrs. W P3A0 with Post Sectio Caesarea Indication Severe Pre-Eclampsia in the Rose Chamber: A Case Study
Umi Najihah, Nonok Karlina, Yulianingsih Yulianingsih, et al.
Asian Journal of Healthy and Science (2024) Vol. 3, Iss. 5, pp. 245-251
Open Access

Nutrigenetic Investigations in Preeclampsia
Zoltán Kukor
Nutrients (2024) Vol. 16, Iss. 19, pp. 3248-3248
Open Access

Page 1

Scroll to top