AcaRevival Initiative

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

Read Manifesto →
JZ

Jean J. Zhao

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Jean J. Zhao at Massachusetts Institute of Technology (MIT)

Jean J. Zhao is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes PI3K/AKT/mTOR signaling in cancer, interferon and immune responses, and PARP inhibition in cancer therapy. As an established researcher, their work has gained over 621 citations, reflecting growing recognition within the scientific community. Their H-index of 5 further reflects consistent scholarly impact.

Research Areas

PI3K/AKT/mTOR signaling in cancerinterferon and immune responsesPARP inhibition in cancer therapyAxon Guidance and Neuronal SignalingAdvanced Breast Cancer Therapies

Academic Impact Matrix

Research output metrics for Jean J. Zhao aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations621

Emerging researcher

Publications25

Selective publication record

h-index5

Developing track record

i10-index3

Early-stage portfolio

Lab Environment

No lab data yet for Jean J. Zhao

+ 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.