AcaRevival Initiative

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

Read Manifesto →
AW

Amanda Williams

Stanford University

No ratings yetBe the first to rate
Loading...

About Amanda Williams at Stanford University (Stanford)

Amanda Williams is an academic professional affiliated with Stanford University. Their primary research focus includes Tuberculosis Research and Epidemiology, SARS-CoV-2 and COVID-19 Research, and Infectious Diseases and Tuberculosis. As an established researcher, their work has gained over 117 citations, reflecting growing recognition within the scientific community. Their H-index of 3 further reflects consistent scholarly impact.

Research Areas

Tuberculosis Research and EpidemiologySARS-CoV-2 and COVID-19 ResearchInfectious Diseases and TuberculosisDiagnosis and treatment of tuberculosisT-cell and B-cell Immunology

Academic Impact Matrix

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

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

Research Output

Total Citations117

Emerging researcher

Publications7

Selective publication record

h-index3

Developing track record

i10-index3

Early-stage portfolio

Lab Environment

No lab data yet for Amanda Williams

+ 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.