AcaRevival Initiative

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

Read Manifesto →
NH

Nebal Abu Hussein

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Nebal Abu Hussein at Massachusetts Institute of Technology (MIT)

Nebal Abu Hussein is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Chronic Obstructive Pulmonary Disease (COPD) Research, Respiratory Support and Mechanisms, and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis. As an established researcher, their work has gained over 376 citations, reflecting growing recognition within the scientific community. Their H-index of 9 further reflects consistent scholarly impact.

Research Areas

Chronic Obstructive Pulmonary Disease (COPD) ResearchRespiratory Support and MechanismsInterstitial Lung Diseases and Idiopathic Pulmonary FibrosisChronic Disease Management StrategiesAsthma and respiratory diseases

Academic Impact Matrix

Research output metrics for Nebal Abu Hussein aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations752

Emerging researcher

Publications94

Selective publication record

h-index9

Developing track record

i10-index9

Early-stage portfolio

Lab Environment

No lab data yet for Nebal Abu Hussein

+ 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.