AcaRevival Initiative

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

Read Manifesto →
MI

Masaki Ito

Stanford University

No ratings yetBe the first to rate
Loading...

About Masaki Ito at Stanford University (Stanford)

Masaki Ito is a researcher based at Stanford University. They specialize in Moyamoya disease diagnosis and treatment, Intracranial Aneurysms: Treatment and Complications, and Cerebrovascular and Carotid Artery Diseases, with ongoing contributions to these areas. Their academic career is distinguished by over 4,249 citations, demonstrating their leading role in the global research community. With a formidable H-index of 35, Masaki Ito continues to drive innovation in their area of expertise.

Research Areas

Moyamoya disease diagnosis and treatmentIntracranial Aneurysms: Treatment and ComplicationsCerebrovascular and Carotid Artery DiseasesHuman Mobility and Location-Based AnalysisNeurological Complications and Syndromes

Academic Impact Matrix

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

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

Research Output

Total Citations4,249

Emerging researcher

Publications323

Highly prolific researcher

h-index35

Established scholar

i10-index106

Broad impact

Lab Environment

No lab data yet for Masaki Ito

+ 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.