AcaRevival Initiative

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

Read Manifesto →
SC

Shiyu Chen

Stanford University

No ratings yetBe the first to rate
Loading...

About Shiyu Chen at Stanford University (Stanford)

Shiyu Chen is a researcher based at Stanford University. They specialize in Chemical Synthesis and Analysis, Cancer-related molecular mechanisms research, and Monoclonal and Polyclonal Antibodies Research, with ongoing contributions to these areas. Their academic career is distinguished by over 5,340 citations, demonstrating their leading role in the global research community. With a formidable H-index of 40, Shiyu Chen continues to drive innovation in their area of expertise.

Research Areas

Chemical Synthesis and AnalysisCancer-related molecular mechanisms researchMonoclonal and Polyclonal Antibodies ResearchMicroRNA in disease regulationClick Chemistry and Applications

Academic Impact Matrix

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

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

Research Output

Total Citations5,340

Emerging researcher

Publications227

Active researcher

h-index40

Established scholar

i10-index103

Broad impact

Lab Environment

No lab data yet for Shiyu Chen

+ 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.