AcaRevival Initiative

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

Read Manifesto →
LS

Lyndsay M. Stapleton

Stanford University

No ratings yetBe the first to rate
Loading...

About Lyndsay M. Stapleton at Stanford University (Stanford)

Lyndsay M. Stapleton holds an academic position at Stanford University. Their scholarly work centers on Tissue Engineering and Regenerative Medicine, Electrospun Nanofibers in Biomedical Applications, and Cardiac Structural Anomalies and Repair. With over 2,106 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 18 underscores the consistent quality and influence of their published research.

Research Areas

Tissue Engineering and Regenerative MedicineElectrospun Nanofibers in Biomedical ApplicationsCardiac Structural Anomalies and RepairHydrogels: synthesispropertiesapplications3D Printing in Biomedical Research

Academic Impact Matrix

Research output metrics for Lyndsay M. Stapleton aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations2,106

Emerging researcher

Publications37

Selective publication record

h-index18

Developing track record

i10-index21

Early-stage portfolio

Lab Environment

No lab data yet for Lyndsay M. Stapleton

+ 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.