AcaRevival Initiative

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

Read Manifesto →
LS

Lorna Kwai Ping Suen

Nursing and Health Sciences

Hong Kong Polytechnic University

No ratings yetBe the first to rate
Loading...

About Lorna Kwai Ping Suen at Hong Kong Polytechnic University

Lorna Kwai Ping Suen is a researcher at Hong Kong Polytechnic University, where they contribute to the Nursing and Health Sciences Department. They specialize in acupuncture, complementary and alternative medicine, and infection control, with ongoing contributions to these areas. Their academic career is distinguished by over 5,262 citations, demonstrating their leading role in the global research community. With a formidable H-index of 41, Lorna Kwai Ping Suen continues to drive innovation in their area of expertise.

Research Areas

acupuncturecomplementary and alternative medicineinfection controlventilationfrailtypublic healthintegrative medicineantimicrobial resistance

Academic Impact Matrix

Research output metrics for Lorna Kwai Ping Suen aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations5,262

Emerging researcher

Publications223

Active researcher

h-index41

Established scholar

i10-index114

Broad impact

Lab Environment

No lab data yet for Lorna Kwai Ping Suen

+ 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.