AcaRevival Initiative

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

Read Manifesto →
DL

David Liang

Stanford University

No ratings yetBe the first to rate
Loading...

About David Liang at Stanford University (Stanford)

David Liang is an academic professional affiliated with Stanford University. Their primary research focus includes Cardiac Valve Diseases and Treatments, Cardiovascular Function and Risk Factors, and Cardiac Structural Anomalies and Repair. As a highly cited researcher, their work has accumulated over 8,073 citations, reflecting substantial influence across the academic community. Their H-index of 47 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Cardiac Valve Diseases and TreatmentsCardiovascular Function and Risk FactorsCardiac Structural Anomalies and RepairAortic Disease and Treatment ApproachesCardiac Imaging and Diagnostics

Academic Impact Matrix

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

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

Research Output

Total Citations8,073

Above average

Publications244

Highly prolific researcher

h-index47

Established scholar

i10-index116

Broad impact

Lab Environment

No lab data yet for David Liang

+ 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.