AcaRevival Initiative

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

Read Manifesto →
HM

Hansruedi Mathys

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Hansruedi Mathys at Massachusetts Institute of Technology (MIT)

Hansruedi Mathys is a researcher based at Massachusetts Institute of Technology. They specialize in Neuroinflammation and Neurodegeneration Mechanisms, Single-cell and spatial transcriptomics, and Alzheimer's disease research and treatments, with ongoing contributions to these areas. Their academic career is distinguished by over 5,177 citations, demonstrating their leading role in the global research community. With a formidable H-index of 15, Hansruedi Mathys continues to drive innovation in their area of expertise.

Research Areas

Neuroinflammation and Neurodegeneration MechanismsSingle-cell and spatial transcriptomicsAlzheimer's disease research and treatmentsBioinformatics and Genomic NetworksTryptophan and brain disorders

Academic Impact Matrix

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

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

Research Output

Total Citations5,177

Emerging researcher

Publications27

Selective publication record

h-index15

Developing track record

i10-index15

Early-stage portfolio

Lab Environment

No lab data yet for Hansruedi Mathys

+ 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.