AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
JK

Jin Young Kim

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Jin Young Kim at Massachusetts Institute of Technology (MIT)

Jin Young Kim is a researcher based at Massachusetts Institute of Technology. They specialize in Healthcare Education and Workforce Issues, Education and Learning Interventions, and Simulation-Based Education in Healthcare, with ongoing contributions to these areas. Their research has drawn over 124 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 7 speaks to the quality and reach of their work.

Research Areas

Healthcare Education and Workforce IssuesEducation and Learning InterventionsSimulation-Based Education in HealthcareDiverse Approaches in Healthcare and Education StudiesBalanceGaitand Falls Prevention

Academic Impact Matrix

Research output metrics for Jin Young Kim aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations124

Emerging researcher

Publications36

Selective publication record

h-index7

Developing track record

i10-index4

Early-stage portfolio

Lab Environment

No lab data yet for Jin Young Kim

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Top Publications

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.