AcaRevival Initiative

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

Read Manifesto →
QT

Qi Tan

Medicine

Hebei Agricultural University

No ratings yetBe the first to rate
Loading...

About Qi Tan at Hebei Agricultural University

Based at the Medicine Department of Hebei Agricultural University, Qi Tan is an active contributor to academic research. Their scholarly work centers on Interstitial Lung Diseases, Idiopathic Pulmonary Fibrosis, and Neonatal Respiratory Health. With over 2,691 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 25 underscores the consistent quality and influence of their published research.

Research Areas

Interstitial Lung DiseasesIdiopathic Pulmonary FibrosisNeonatal Respiratory HealthTendon StructureTuberculosis EpidemiologyNeonatal Surgery OutcomesTumor Microenvironment

Academic Impact Matrix

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

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

Research Output

Total Citations2,691

Emerging researcher

Publications79

Selective publication record

h-index25

Developing track record

i10-index34

Growing portfolio

Lab Environment

No lab data yet for Qi Tan

+ 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.