AcaRevival Initiative

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

Read Manifesto →
SS

Sheng Shen

Radiology and Biomedical Engineering

Capital Medical University

No ratings yetBe the first to rate
Loading...

About Sheng Shen at Capital Medical University

Sheng Shen is a researcher at Harvard University specializing in advanced MRI techniques and viral hepatitis studies, with applications in liver disease diagnosis and treatment.

Research Areas

Advanced MRI techniquesHyperpolarized MRIHepatitis B virusHepatitis C virusLiver disease biomarkersGut microbiomeClinical hepatologyMagnetic resonance imaging
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations394

Emerging researcher

Publications15

Selective publication record

h-index5

Developing track record

i10-index5

Early-stage portfolio

Lab Environment

No lab data yet for Sheng Shen

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

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.