Prospective evaluation of plasma proteins in relation to surgical endometriosis diagnosis in the Nurses’ Health Study II

This study was supported by the Department of Defence, the 2017 Boston Center for Endometriosis Trainee Award. Investigators were supported by Aspira Women's Health and NIH which were not directly related to this project.

Authors

Institutions

Publication Details

Journal
EBioMedicine
Published
2025-04-11
DOI
https://doi.org/10.1016/j.ebiom.2025.105688
Citations
2
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
3.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prospective evaluation of plasma proteins in relation to surgical endometriosis diagnosis in the Nurses’ Health Study II

Simon T. Dillon, Stacey A. Missmer, Amy L. Shafrir, Kathryn L. Terry et al.
2 citations
EBioMedicine
Endometriosis Research and Treatment
3.40
article

Prospective evaluation of plasma proteins in relation to surgical endometriosis diagnosis in the Nurses’ Health Study II

Simon T. Dillon, Stacey A. Missmer, Amy L. Shafrir, Kathryn L. Terry, Naoko Sasamoto, Maryam Aziz, Towia Aron Libermann, Long Ngo, Allison F. Vitonis
article en
2 citations

Abstract

This study was supported by the Department of Defence, the 2017 Boston Center for Endometriosis Trainee Award. Investigators were supported by Aspira Women's Health and NIH which were not directly related to this project.

EBioMedicineVol. 115
Brigham and Women's Hospital (US), Boston Children's Hospital (US), Beth Israel Deaconess Medical Center (US), Duke University (US)
Openalex Percentile: Top 9%
Endometriosis Research and Treatment
3.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.