AcaRevival Initiative

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

Read Manifesto →
DA

David Amar

Stanford University

No ratings yetBe the first to rate
Loading...

About David Amar at Stanford University (Stanford)

David Amar is an academic professional affiliated with Stanford University. Their primary research focus includes Gene expression and cancer classification, Bioinformatics and Genomic Networks, and Genetic Associations and Epidemiology. As a highly cited researcher, their work has accumulated over 4,501 citations, reflecting substantial influence across the academic community. Their H-index of 26 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Gene expression and cancer classificationBioinformatics and Genomic NetworksGenetic Associations and EpidemiologySkin Protection and AgingAdipose Tissue and Metabolism

Academic Impact Matrix

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

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

Research Output

Total Citations4,501

Emerging researcher

Publications94

Selective publication record

h-index26

Developing track record

i10-index42

Growing portfolio

Lab Environment

No lab data yet for David Amar

+ 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.