AcaRevival Initiative

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

Read Manifesto →
DL

Douglas A. Lauffenburger

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Douglas A. Lauffenburger at Massachusetts Institute of Technology (MIT)

Douglas A. Lauffenburger is a researcher based at Massachusetts Institute of Technology. They specialize in Cellular Mechanics and Interactions, Monoclonal and Polyclonal Antibodies Research, and Cell Adhesion Molecules Research, with ongoing contributions to these areas. Their academic career is distinguished by over 61,245 citations, demonstrating their leading role in the global research community. With a formidable H-index of 126, Douglas A. Lauffenburger continues to drive innovation in their area of expertise.

Research Areas

Cellular Mechanics and InteractionsMonoclonal and Polyclonal Antibodies ResearchCell Adhesion Molecules ResearchGene Regulatory Network AnalysisComputational Drug Discovery Methods

Academic Impact Matrix

Research output metrics for Douglas A. Lauffenburger aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations61,245

Top 5% globally

Publications1093

Highly prolific researcher

h-index126

Nobel-level impact

i10-index522

Exceptional breadth

Lab Environment

No lab data yet for Douglas A. Lauffenburger

+ 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.