AcaRevival Initiative

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

Read Manifesto →
JY

Jun’ichi Yokoyama

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Jun’ichi Yokoyama at Massachusetts Institute of Technology (MIT)

Jun’ichi Yokoyama is a researcher based at Massachusetts Institute of Technology. They specialize in Cosmology and Gravitation Theories, Black Holes and Theoretical Physics, and Galaxies: Formation, with ongoing contributions to these areas. Their academic career is distinguished by over 13,282 citations, demonstrating their leading role in the global research community. With a formidable H-index of 58, Jun’ichi Yokoyama continues to drive innovation in their area of expertise.

Research Areas

Cosmology and Gravitation TheoriesBlack Holes and Theoretical PhysicsGalaxies: FormationEvolutionPhenomenaPulsars and Gravitational Waves ResearchGeophysics and Gravity Measurements

Academic Impact Matrix

Research output metrics for Jun’ichi Yokoyama aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations13,282

Above average

Publications322

Highly prolific researcher

h-index58

Field leader

i10-index155

Exceptional breadth

Lab Environment

No lab data yet for Jun’ichi Yokoyama

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

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.