AcaRevival Initiative

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

Read Manifesto →
LZ

Lawrence Zukerberg

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Lawrence Zukerberg at Massachusetts Institute of Technology (MIT)

Lawrence Zukerberg is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Gastric Cancer Management and Outcomes, Lymphoma Diagnosis and Treatment, and Esophageal Cancer Research and Treatment. As a highly cited researcher, their work has accumulated over 13,438 citations, reflecting substantial influence across the academic community. Their H-index of 59 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Gastric Cancer Management and OutcomesLymphoma Diagnosis and TreatmentEsophageal Cancer Research and TreatmentLung Cancer Treatments and MutationsGenetic factors in colorectal cancer

Academic Impact Matrix

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

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

Research Output

Total Citations13,438

Above average

Publications272

Highly prolific researcher

h-index59

Field leader

i10-index135

Broad impact

Lab Environment

No lab data yet for Lawrence Zukerberg

+ 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.