Connection

Co-Authors

This is a "connection" page, showing publications co-authored by JEFFREY KIM and DANIEL PENNY.
Connection Strength

0.428
  1. Amino acid-level signal-to-noise analysis of incidentally identified variants in genes associated with long QT syndrome during pediatric whole exome sequencing reflects background genetic noise. Heart Rhythm. 2018 07; 15(7):1042-1050.
    View in: PubMed
    Score: 0.139
  2. Interpreting Incidentally Identified Variants in Genes Associated With Catecholaminergic Polymorphic Ventricular Tachycardia in a Large Cohort of Clinical Whole-Exome Genetic Test Referrals. Circ Arrhythm Electrophysiol. 2017 Apr; 10(4).
    View in: PubMed
    Score: 0.130
  3. The congenital heart early-career exchange programme: collaboration to advance faculty development. Cardiol Young. 2026 Jun 18; 1-5.
    View in: PubMed
    Score: 0.062
  4. Multicenter validation of AI-enabled ECG for pediatric biological sex prediction. NPJ Digit Med. 2026 Feb 26; 9(1).
    View in: PubMed
    Score: 0.060
  5. Incidentally identified genetic variants in arrhythmogenic right ventricular cardiomyopathy-associated genes among children undergoing exome sequencing reflect healthy population variation. Mol Genet Genomic Med. 2019 06; 7(6):e593.
    View in: PubMed
    Score: 0.037
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.