AcaRevival Initiative

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

Read Manifesto →
YL

Yanyan Liu

Materials Science and Engineering

Shanghai Jiao Tong University

No ratings yetBe the first to rate
Loading...

About Yanyan Liu at Shanghai Jiao Tong University

Yanyan Liu is a materials scientist at Fudan University specializing in the development of nanoplatforms for cancer diagnosis and therapy. Representative publications include "Heterostructures with Built‐in Electric Fields for Long‐lasting Chemodynamic Therapy", and "Ultrasound‐Driven Non‐Metallic Fenton‐Active Center Construction for Extensive Chemodynamic Therapy", which reflect their ongoing engagement with the field.

Research Areas

nanomedicinecancer theranosticsnanoparticle drug deliveryadvanced nanomaterialscatalysisnanoplatformscancer therapymaterials chemistry
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations6,002

Emerging researcher

Publications76

Selective publication record

h-index33

Established scholar

i10-index54

Growing portfolio

Lab Environment

No lab data yet for Yanyan Liu

+ 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.