Raphael Y. Cohen

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning”.

Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning

PLoS ONE(2025)10.1371/journal.pone.0323873

N/A

0.330DataRank · unranked

8 citations

Raphael Y. Cohen, N.J. Wheeler, Ricardo Kleinlein, John Rigoni, David W. Bates +3 more

Hemodynamic changes in patients with SARS-CoV-2 infection presenting for cesarean delivery under spinal anesthesia: a retrospective case-control study

International Journal of Obstetric Anesthesia(2022)10.1016/j.ijoa.2022.103624

N/A

0DataRank · unranked

2 citations

Kathryn J. Gray, Guang‐Biao Zhou, Raphael Y. Cohen, William Armero, Y K Chen +6 more

Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies

Hypertension(2023)10.1161/hypertensionaha.123.21053

N/A

0DataRank · unranked

46 citations

Braden W. Eberhard, Raphael Y. Cohen, Matthew Maher, Richa Saxena, Kathryn J. Gray +1 more

An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine Learning

medRxiv(2023)10.1101/2023.08.16.23293946

N/A

0DataRank · unranked

12 citations

Raphael Y. Cohen, John Rigoni, David W. Bates, Kathryn J. Gray, Vesela Kovacheva +1 more