AcaRevival Initiative

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

Read Manifesto →
YS

Yang Shao‐Horn

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Yang Shao‐Horn at Massachusetts Institute of Technology (MIT)

Yang Shao‐Horn is a researcher based at Massachusetts Institute of Technology. They specialize in Advancements in Battery Materials, Electrocatalysts for Energy Conversion, and Advanced Battery Materials and Technologies, with ongoing contributions to these areas. Their academic career is distinguished by over 85,878 citations, demonstrating their leading role in the global research community. With a formidable H-index of 137, Yang Shao‐Horn continues to drive innovation in their area of expertise.

Research Areas

Advancements in Battery MaterialsElectrocatalysts for Energy ConversionAdvanced Battery Materials and TechnologiesFuel Cells and Related MaterialsAdvanced battery technologies research
Stop Acting Like a Student.

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

sponsored · disclosure
The Professor Is In
#1 PhD Survival GuideAcademic Discount Available
The Hidden Rules of Grad School — What Your Advisor Won't Tell You
View Peer Reviews on Amazon →
Logitech MX Master 3S
Lab Standard ConfigAcademic Discount Available
Your Wrist Will Thank You After Year Two
Access Toolkit Specs →

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

Academic Impact Matrix

Research output metrics for Yang Shao‐Horn aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations171,756

Top 5% globally

Publications1570

Highly prolific researcher

h-index137

Nobel-level impact

i10-index418

Exceptional breadth

Lab Environment

No lab data yet for Yang Shao‐Horn

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

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.