AcaRevival Initiative

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

Read Manifesto →
MM

Margaret Magendantz

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Margaret Magendantz at Massachusetts Institute of Technology (MIT)

Margaret Magendantz is a researcher based at Massachusetts Institute of Technology. They specialize in Microtubule and mitosis dynamics, Fungal and yeast genetics research, and Photosynthetic Processes and Mechanisms, with ongoing contributions to these areas. Their academic career is distinguished by over 1,675 citations, demonstrating their leading role in the global research community. With a formidable H-index of 15, Margaret Magendantz continues to drive innovation in their area of expertise.

Research Areas

Microtubule and mitosis dynamicsFungal and yeast genetics researchPhotosynthetic Processes and MechanismsGlycosylation and Glycoproteins ResearchPI3K/AKT/mTOR signaling in cancer

Academic Impact Matrix

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

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

Research Output

Total Citations1,675

Emerging researcher

Publications17

Selective publication record

h-index15

Developing track record

i10-index15

Early-stage portfolio

Lab Environment

No lab data yet for Margaret Magendantz

+ 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.