AcaRevival Initiative

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

Read Manifesto →
CH

Chenzhou Hao

Stanford University

No ratings yetBe the first to rate
Loading...

About Chenzhou Hao at Stanford University (Stanford)

Chenzhou Hao is an academic professional affiliated with Stanford University. Their primary research focus includes Protein Kinase Regulation and GTPase Signaling, Computational Drug Discovery Methods, and Cancer-related Molecular Pathways. As an established researcher, their work has gained over 749 citations, reflecting growing recognition within the scientific community. Their H-index of 17 further reflects consistent scholarly impact.

Research Areas

Protein Kinase Regulation and GTPase SignalingComputational Drug Discovery MethodsCancer-related Molecular PathwaysLipoproteins and Cardiovascular HealthMelanoma and MAPK Pathways

Academic Impact Matrix

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

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

Research Output

Total Citations749

Emerging researcher

Publications37

Selective publication record

h-index17

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

No lab data yet for Chenzhou Hao

+ 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.