AcaRevival Initiative

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

Read Manifesto →
LM

Liliana M. Massis

Stanford University

No ratings yetBe the first to rate
Loading...

About Liliana M. Massis at Stanford University (Stanford)

Liliana M. Massis is a researcher based at Stanford University. They specialize in Salmonella and Campylobacter epidemiology, Vibrio bacteria research studies, and Escherichia coli research studies, with ongoing contributions to these areas. Their academic career is distinguished by over 1,210 citations, demonstrating their leading role in the global research community. With a formidable H-index of 19, Liliana M. Massis continues to drive innovation in their area of expertise.

Research Areas

Salmonella and Campylobacter epidemiologyVibrio bacteria research studiesEscherichia coli research studiesViral gastroenteritis research and epidemiologyInflammasome and immune disorders

Academic Impact Matrix

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

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

Research Output

Total Citations1,210

Emerging researcher

Publications36

Selective publication record

h-index19

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

No lab data yet for Liliana M. Massis

+ 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.