AcaRevival Initiative

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

Read Manifesto →
RJ

Rafael Jaimes

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Rafael Jaimes at Massachusetts Institute of Technology (MIT)

Rafael Jaimes is a researcher based at Massachusetts Institute of Technology. They specialize in Cardiac electrophysiology and arrhythmias, Effects and risks of endocrine disrupting chemicals, and Cardiovascular Function and Risk Factors, with ongoing contributions to these areas. Their academic career is distinguished by over 1,129 citations, demonstrating their leading role in the global research community. With a formidable H-index of 19, Rafael Jaimes continues to drive innovation in their area of expertise.

Research Areas

Cardiac electrophysiology and arrhythmiasEffects and risks of endocrine disrupting chemicalsCardiovascular Function and Risk FactorsAnimal testing and alternativesAdvanced MRI Techniques and Applications

Academic Impact Matrix

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

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

Research Output

Total Citations1,129

Emerging researcher

Publications57

Selective publication record

h-index19

Developing track record

i10-index25

Early-stage portfolio

Lab Environment

No lab data yet for Rafael Jaimes

+ 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.