AcaRevival Initiative

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

Read Manifesto →
KL

Kerstin Lindblad‐Toh

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Kerstin Lindblad‐Toh at Massachusetts Institute of Technology (MIT)

Kerstin Lindblad‐Toh is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Genomics and Phylogenetic Studies, Veterinary Oncology Research, and Virus-based gene therapy research. As a highly cited researcher, their work has accumulated over 79,475 citations, reflecting substantial influence across the academic community. Their H-index of 102 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Genomics and Phylogenetic StudiesVeterinary Oncology ResearchVirus-based gene therapy researchChromosomal and Genetic VariationsCancer Genomics and Diagnostics

Academic Impact Matrix

Research output metrics for Kerstin Lindblad‐Toh aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations79,475

Top 5% globally

Publications472

Highly prolific researcher

h-index102

Nobel-level impact

i10-index243

Exceptional breadth

Lab Environment

No lab data yet for Kerstin Lindblad‐Toh

+ 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.