Exploring “Talent” in Medical Education: A Scoping Review

Although 47 papers contained the term "talent", there was a paucity of papers that defined talent within medical education or applied a framework/theory. Interdisciplinary research may be a way to better introduce this concept to our field.

Authors

Institutions

Publication Details

Journal
Perspectives on Medical Education
Published
2026-02-04
DOI
https://doi.org/10.5334/pme.1859
Primary Topic
Medical Education and Admissions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring “Talent” in Medical Education: A Scoping Review

Sandra Monteiro, Teresa M. Chan, Amy Keuhl, Elizabeth M. Wooster et al.
Perspectives on Medical Education
Medical Education and Admissions
article

Exploring “Talent” in Medical Education: A Scoping Review

Sandra Monteiro, Teresa M. Chan, Amy Keuhl, Elizabeth M. Wooster, Rebecca Preyra, Alexander Peever, Michael Gottlieb, Shreya Saha, Sujata Mishra, Heba Khan, Armaanpreet Dhillon
article en

Abstract

Although 47 papers contained the term "talent", there was a paucity of papers that defined talent within medical education or applied a framework/theory. Interdisciplinary research may be a way to better introduce this concept to our field.

Perspectives on Medical EducationVol. 15(1)
Rush University Medical Center (US), University of Alberta (CA), University of Toronto (CA), York University (CA), Metropolitan University (RS), McMaster University (CA)
Reduced inequalities
Openalex Percentile: Top 69%
Medical Education and Admissions
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.