AcaRevival Initiative

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

Read Manifesto →
JS

Julien Sage

Stanford University

No ratings yetBe the first to rate
Loading...

About Julien Sage at Stanford University (Stanford)

Julien Sage is an academic professional affiliated with Stanford University. Their primary research focus includes Lung Cancer Research Studies, Cancer-related Molecular Pathways, and Neuroendocrine Tumor Research Advances. As a highly cited researcher, their work has accumulated over 25,332 citations, reflecting substantial influence across the academic community. Their H-index of 80 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Lung Cancer Research StudiesCancer-related Molecular PathwaysNeuroendocrine Tumor Research AdvancesEpigenetics and DNA MethylationPeptidase Inhibition and Analysis

Academic Impact Matrix

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

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

Research Output

Total Citations101,328

Top 5% globally

Publications1836

Highly prolific researcher

h-index80

Nobel-level impact

i10-index142

Broad impact

Lab Environment

No lab data yet for Julien Sage

+ 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.