AcaRevival Initiative

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

Read Manifesto →
MB

Mary Brindle

Surgery

Harvard University

No ratings yetBe the first to rate
Loading...

About Mary Brindle at Harvard University (Harvard)

Based at the Surgery Department of Harvard University, Mary Brindle is an active contributor to academic research. Their scholarly work centers on Enhanced Recovery After Surgery, Patient Safety, and Surgical Outcomes. With over 5,144 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 36 underscores the consistent quality and influence of their published research.

Research Areas

Enhanced Recovery After SurgeryPatient SafetySurgical OutcomesPerioperative CareMedication ErrorsAnesthesiaImplementation ScienceQuality Improvement
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations5,144

Emerging researcher

Publications224

Active researcher

h-index36

Established scholar

i10-index93

Broad impact

Lab Environment

No lab data yet for Mary Brindle

+ 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.