AcaRevival Initiative

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

Read Manifesto →
SA

Samuel Aronson

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Samuel Aronson at Massachusetts Institute of Technology (MIT)

Samuel Aronson is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Genomics and Rare Diseases, Prostate Cancer Diagnosis and Treatment, and Biomedical Text Mining and Ontologies. As a highly cited researcher, their work has accumulated over 2,873 citations, reflecting substantial influence across the academic community. Their H-index of 26 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Genomics and Rare DiseasesProstate Cancer Diagnosis and TreatmentBiomedical Text Mining and OntologiesBRCA gene mutations in cancerCancer Genomics and Diagnostics

Academic Impact Matrix

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

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

Research Output

Total Citations2,873

Emerging researcher

Publications102

Selective publication record

h-index26

Developing track record

i10-index39

Growing portfolio

Lab Environment

No lab data yet for Samuel Aronson

+ 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.