AcaRevival Initiative

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

Read Manifesto →
SL

Stanley Yung‐Chuan Liu

Stanford University

No ratings yetBe the first to rate
Loading...

About Stanley Yung‐Chuan Liu at Stanford University (Stanford)

Stanley Yung‐Chuan Liu is a researcher based at Stanford University. They specialize in Obstructive Sleep Apnea Research, Neuroscience of respiration and sleep, and Tracheal and airway disorders, with ongoing contributions to these areas. Their academic career is distinguished by over 6,195 citations, demonstrating their leading role in the global research community. With a formidable H-index of 38, Stanley Yung‐Chuan Liu continues to drive innovation in their area of expertise.

Research Areas

Obstructive Sleep Apnea ResearchNeuroscience of respiration and sleepTracheal and airway disordersCleft Lip and Palate ResearchCraniofacial Disorders and Treatments

Academic Impact Matrix

Research output metrics for Stanley Yung‐Chuan Liu aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations6,195

Emerging researcher

Publications160

Active researcher

h-index38

Established scholar

i10-index76

Growing portfolio

Lab Environment

No lab data yet for Stanley Yung‐Chuan Liu

+ 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.