AcaRevival Initiative

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

Read Manifesto →
NS

Norah Simpson

Stanford University

No ratings yetBe the first to rate
Loading...

About Norah Simpson at Stanford University (Stanford)

Norah Simpson is an academic professional affiliated with Stanford University. Their primary research focus includes Sleep and related disorders, Maternal Mental Health During Pregnancy and Postpartum, and Sleep and Wakefulness Research. As a highly cited researcher, their work has accumulated over 1,990 citations, reflecting substantial influence across the academic community. Their H-index of 17 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Sleep and related disordersMaternal Mental Health During Pregnancy and PostpartumSleep and Wakefulness ResearchDigital Mental Health InterventionsCOVID-19 and Mental Health

Academic Impact Matrix

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

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

Research Output

Total Citations1,990

Emerging researcher

Publications75

Selective publication record

h-index17

Developing track record

i10-index25

Early-stage portfolio

Lab Environment

No lab data yet for Norah Simpson

+ 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.