AcaRevival Initiative

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

Read Manifesto →
ZG

Zixian Guan

Stanford University

No ratings yetBe the first to rate
Loading...

About Zixian Guan at Stanford University (Stanford)

Zixian Guan is an academic professional affiliated with Stanford University. Their primary research focus includes Polymer crystallization and properties, biodegradable polymer synthesis and properties, and Polymer Nanocomposites and Properties. As an established researcher, their work has gained over 240 citations, reflecting growing recognition within the scientific community. Their H-index of 10 further reflects consistent scholarly impact.

Research Areas

Polymer crystallization and propertiesbiodegradable polymer synthesis and propertiesPolymer Nanocomposites and PropertiesNatural Fiber Reinforced CompositesAdvanced Cellulose Research Studies

Academic Impact Matrix

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

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

Research Output

Total Citations240

Emerging researcher

Publications18

Selective publication record

h-index10

Developing track record

i10-index10

Early-stage portfolio

Lab Environment

No lab data yet for Zixian Guan

+ 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.