AcaRevival Initiative

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

Read Manifesto →
JO

Jianping Ouyang

Materials Science and Engineering

Harvard University

No ratings yetBe the first to rate
Loading...

About Jianping Ouyang at Harvard University (Harvard)

Jianping Ouyang is an academic professional affiliated with the Materials Science and Engineering Department at Harvard University. Their primary research focus includes nanoplatforms for cancer theranostics, advanced nanomaterials in catalysis, and graphene applications. As a highly cited researcher, their work has accumulated over 1,794 citations, reflecting substantial influence across the academic community. Their H-index of 21 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

nanoplatforms for cancer theranosticsadvanced nanomaterials in catalysisgraphene applicationstumor photoimmunotherapyoral drug deliverybiocompatible nanomaterialsspinal cord injury treatmentpostoperative infection prevention

Academic Impact Matrix

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

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

Research Output

Total Citations1,794

Emerging researcher

Publications187

Active researcher

h-index21

Developing track record

i10-index38

Growing portfolio

Lab Environment

No lab data yet for Jianping Ouyang

+ 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.