AcaRevival Initiative

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

Read Manifesto →
TK

TaeHyun Kim

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About TaeHyun Kim at Massachusetts Institute of Technology (MIT)

TaeHyun Kim is a researcher based at Massachusetts Institute of Technology. They specialize in Neuroscience and Neuropharmacology Research, Neuroinflammation and Neurodegeneration Mechanisms, and Diverse Approaches in Healthcare and Education Studies, with ongoing contributions to these areas. Their academic career is distinguished by over 1,659 citations, demonstrating their leading role in the global research community. With a formidable H-index of 17, TaeHyun Kim continues to drive innovation in their area of expertise.

Research Areas

Neuroscience and Neuropharmacology ResearchNeuroinflammation and Neurodegeneration MechanismsDiverse Approaches in Healthcare and Education StudiesAdvanced Memory and Neural ComputingStress Responses and Cortisol

Academic Impact Matrix

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

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

Research Output

Total Citations3,318

Emerging researcher

Publications80

Selective publication record

h-index17

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

No lab data yet for TaeHyun 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.