AcaRevival Initiative

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

Read Manifesto →
SF

Stephen Sai Folmsbee

Stanford University

No ratings yetBe the first to rate
Loading...

About Stephen Sai Folmsbee at Stanford University (Stanford)

Stephen Sai Folmsbee is an academic professional affiliated with Stanford University. Their primary research focus includes Asthma and respiratory diseases, Multiple Sclerosis Research Studies, and Wnt/β-catenin signaling in development and cancer. As an established researcher, their work has gained over 130 citations, reflecting growing recognition within the scientific community. Their H-index of 6 further reflects consistent scholarly impact.

Research Areas

Asthma and respiratory diseasesMultiple Sclerosis Research StudiesWnt/β-catenin signaling in development and cancerCellular Mechanics and InteractionsAutoimmune Neurological Disorders and Treatments

Academic Impact Matrix

Research output metrics for Stephen Sai Folmsbee aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations390

Emerging researcher

Publications39

Selective publication record

h-index6

Developing track record

i10-index6

Early-stage portfolio

Lab Environment

No lab data yet for Stephen Sai Folmsbee

+ 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.