AcaRevival Initiative

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

Read Manifesto →
TB

Tonya Bliss

Stanford University

No ratings yetBe the first to rate
Loading...

About Tonya Bliss at Stanford University (Stanford)

Tonya Bliss is a researcher based at Stanford University. They specialize in Neuroinflammation and Neurodegeneration Mechanisms, Neurogenesis and neuroplasticity mechanisms, and Neurological Disease Mechanisms and Treatments, with ongoing contributions to these areas. Their academic career is distinguished by over 3,902 citations, demonstrating their leading role in the global research community. With a formidable H-index of 27, Tonya Bliss continues to drive innovation in their area of expertise.

Research Areas

Neuroinflammation and Neurodegeneration MechanismsNeurogenesis and neuroplasticity mechanismsNeurological Disease Mechanisms and TreatmentsMesenchymal stem cell researchNeuroscience and Neuropharmacology Research

Academic Impact Matrix

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

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

Research Output

Total Citations3,902

Emerging researcher

Publications73

Selective publication record

h-index27

Developing track record

i10-index30

Growing portfolio

Lab Environment

No lab data yet for Tonya Bliss

+ 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.