AcaRevival Initiative

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

Read Manifesto →
ZT

Zefang Tang

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Zefang Tang at Massachusetts Institute of Technology (MIT)

Zefang Tang is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Molecular Biology Techniques and Applications, Single-cell and spatial transcriptomics, and Gene expression and cancer classification. As a highly cited researcher, their work has accumulated over 18,309 citations, reflecting substantial influence across the academic community. Their H-index of 18 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Molecular Biology Techniques and ApplicationsSingle-cell and spatial transcriptomicsGene expression and cancer classificationBioinformatics and Genomic NetworksCancer-related molecular mechanisms research

Academic Impact Matrix

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

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

Research Output

Total Citations36,618

Top 5% globally

Publications148

Selective publication record

h-index18

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

No lab data yet for Zefang Tang

+ 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.