AcaRevival Initiative

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

Read Manifesto →
CH

Chia‐Suei Hung

Stanford University

No ratings yetBe the first to rate
Loading...

About Chia‐Suei Hung at Stanford University (Stanford)

Chia‐Suei Hung is a researcher based at Stanford University. They specialize in Escherichia coli research studies, Urinary Tract Infections Management, and Gut microbiota and health, with ongoing contributions to these areas. Their academic career is distinguished by over 5,712 citations, demonstrating their leading role in the global research community. With a formidable H-index of 29, Chia‐Suei Hung continues to drive innovation in their area of expertise.

Research Areas

Escherichia coli research studiesUrinary Tract Infections ManagementGut microbiota and healthBacterial biofilms and quorum sensingMicroplastics and Plastic Pollution

Academic Impact Matrix

Research output metrics for Chia‐Suei Hung aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations11,424

Above average

Publications138

Selective publication record

h-index29

Developing track record

i10-index40

Growing portfolio

Lab Environment

No lab data yet for Chia‐Suei Hung

+ 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.