Russell J. Everett

Medicine

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 2 papers. Top paper: “A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity”.

A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.03.020

N/A

0.675DataRank · unranked

89 citations

Sirish Shrestha, Nobuyuki Kagiyama, Yasmin S. Hamirani, Hemant Kulkarni, Naveena Yanamala +35 more

18F-fluoride PET/MR in cardiac amyloid: A comparison study with aortic stenosis and age- and sex-matched controls

Journal of Nuclear Cardiology(2020)10.1007/s12350-020-02356-1

N/A

0DataRank · unranked

23 citations

Maria G. Trivieri, Russell J. Everett, Nicholas Spath, Gillian Macnaught, Alastair J. Moss +9 more