AcaRevival Initiative

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

Read Manifesto →
EM

Ebrahim Mostafavi

Stanford University

No ratings yetBe the first to rate
Loading...

About Ebrahim Mostafavi at Stanford University (Stanford)

Ebrahim Mostafavi is an academic professional affiliated with Stanford University. Their primary research focus includes Graphene and Nanomaterials Applications, Nanoparticle-Based Drug Delivery, and Nanoparticles: synthesis and applications. As a highly cited researcher, their work has accumulated over 21,265 citations, reflecting substantial influence across the academic community. Their H-index of 66 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Graphene and Nanomaterials ApplicationsNanoparticle-Based Drug DeliveryNanoparticles: synthesis and applicationsElectrospun Nanofibers in Biomedical ApplicationsAdvanced biosensing and bioanalysis techniques

Academic Impact Matrix

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

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

Research Output

Total Citations21,265

Top 5% globally

Publications254

Highly prolific researcher

h-index66

Field leader

i10-index167

Exceptional breadth

Lab Environment

No lab data yet for Ebrahim Mostafavi

+ 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.