AcaRevival Initiative

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

Read Manifesto →
CG

Caixia Gao

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Caixia Gao at Massachusetts Institute of Technology (MIT)

Caixia Gao is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes CRISPR and Genetic Engineering, Plant Virus Research Studies, and Chromosomal and Genetic Variations. As a highly cited researcher, their work has accumulated over 33,992 citations, reflecting substantial influence across the academic community. Their H-index of 78 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

CRISPR and Genetic EngineeringPlant Virus Research StudiesChromosomal and Genetic VariationsPlant tissue culture and regenerationRNA and protein synthesis mechanisms

Academic Impact Matrix

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

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

Research Output

Total Citations33,992

Top 5% globally

Publications287

Highly prolific researcher

h-index78

Nobel-level impact

i10-index184

Exceptional breadth

Lab Environment

No lab data yet for Caixia Gao

+ 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.