Constance Angell-James

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 3 papers. Top paper: “Machine Learning to Stratify Risk in Low-Gradient Aortic Stenosis Among Medicare Beneficiaries”.

Machine Learning to Stratify Risk in Low-Gradient Aortic Stenosis Among Medicare Beneficiaries

Journal of the American Society of Echocardiography(2024)10.1016/j.echo.2024.10.010

N/A

0DataRank · unranked

0 citations

Naveena Yanamala, Nora Al-Roub, Nicholas Spetko, Madeline Cassidy, Constance Angell-James +3 more

External validation of artificial intelligence for detection of heart failure with preserved ejection fraction

Nature Communications(2025)10.1038/s41467-025-58283-7

N/A

0DataRank · unranked

26 citations

Nora Al-Roub, Constance Angell-James, Madeline Cassidy, Rasheed Thompson, Lorenzo Bosque +9 more

Evaluating the J Wave as a Marker of Diastolic Dysfunction in Heart Failure With Preserved Ejection Fraction

Journal of the American Society of Echocardiography(2025)10.1016/j.echo.2025.05.015

N/A

0DataRank · unranked

0 citations

Ashley P. Akerman, Nora Al-Roub, Constance Angell-James, Madeline Cassidy, Rasheed Thompson +10 more