AcaRevival Initiative

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

Read Manifesto →
HT

Hua Tang

Stanford University

No ratings yetBe the first to rate
Loading...

About Hua Tang at Stanford University (Stanford)

Hua Tang is an academic professional affiliated with Stanford University. Their primary research focus includes Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, and Genomics and Phylogenetic Studies. As a highly cited researcher, their work has accumulated over 4,445 citations, reflecting substantial influence across the academic community. Their H-index of 32 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Machine Learning in BioinformaticsRNA and protein synthesis mechanismsGenomics and Phylogenetic StudiesCancer-related molecular mechanisms researchRNA modifications and cancer

Academic Impact Matrix

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

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

Research Output

Total Citations4,445

Emerging researcher

Publications69

Selective publication record

h-index32

Established scholar

i10-index53

Growing portfolio

Lab Environment

No lab data yet for Hua Tang

+ 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.