AcaRevival Initiative

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

Read Manifesto →
XH

Xiaoyi Hu

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Xiaoyi Hu at Massachusetts Institute of Technology (MIT)

Xiaoyi Hu is a researcher based at Massachusetts Institute of Technology. They specialize in Nutrition and Health in Aging, Pulmonary Hypertension Research and Treatments, and Frailty in Older Adults, with ongoing contributions to these areas. Their academic career is distinguished by over 2,007 citations, demonstrating their leading role in the global research community. With a formidable H-index of 23, Xiaoyi Hu continues to drive innovation in their area of expertise.

Research Areas

Nutrition and Health in AgingPulmonary Hypertension Research and TreatmentsFrailty in Older AdultsMicroRNA in disease regulationCircular RNAs in diseases

Academic Impact Matrix

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

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

Research Output

Total Citations2,007

Emerging researcher

Publications72

Selective publication record

h-index23

Developing track record

i10-index38

Growing portfolio

Lab Environment

No lab data yet for Xiaoyi Hu

+ 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.