AcaRevival Initiative

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

Read Manifesto →
JL

Julia Lin

Stanford University

No ratings yetBe the first to rate
Loading...

About Julia Lin at Stanford University (Stanford)

Julia Lin holds an academic position at Stanford University. Their scholarly work centers on Child and Adolescent Psychosocial and Emotional Development, Mental Health Treatment and Access, and Advanced Causal Inference Techniques. With over 2,721 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 24 underscores the consistent quality and influence of their published research.

Research Areas

Child and Adolescent Psychosocial and Emotional DevelopmentMental Health Treatment and AccessAdvanced Causal Inference TechniquesStatistical Methods and Bayesian InferenceHealthcare Policy and Management

Academic Impact Matrix

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

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

Research Output

Total Citations2,721

Emerging researcher

Publications51

Selective publication record

h-index24

Developing track record

i10-index31

Growing portfolio

Lab Environment

No lab data yet for Julia Lin

+ 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.