AcaRevival Initiative

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

Read Manifesto →
HG

Hua Gao

Stanford University

No ratings yetBe the first to rate
Loading...

About Hua Gao at Stanford University (Stanford)

Hua Gao is a researcher based at Stanford University. They specialize in Pituitary Gland Disorders and Treatments, Advanced biosensing and bioanalysis techniques, and Glioma Diagnosis and Treatment, with ongoing contributions to these areas. Their academic career is distinguished by over 3,198 citations, demonstrating their leading role in the global research community. With a formidable H-index of 28, Hua Gao continues to drive innovation in their area of expertise.

Research Areas

Pituitary Gland Disorders and TreatmentsAdvanced biosensing and bioanalysis techniquesGlioma Diagnosis and TreatmentCRISPR and Genetic EngineeringNeuroblastoma Research and Treatments

Academic Impact Matrix

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

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

Research Output

Total Citations3,198

Emerging researcher

Publications117

Selective publication record

h-index28

Developing track record

i10-index42

Growing portfolio

Lab Environment

No lab data yet for Hua Gao

+ 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.