AcaRevival Initiative

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

Read Manifesto →
SS

Sabine Schanzer

Pharmacy and Pharmaceutical Sciences

Humboldt-Universität zu Berlin

No ratings yetBe the first to rate
Loading...

About Sabine Schanzer at Humboldt-Universität zu Berlin

Sabine Schanzer is a pharmaceutical scientist at Freie Universität Berlin specializing in skin protection, transdermal drug delivery, and cosmetic formulation development. Their research directions are illustrated by key works including "Follicular Delivery of Caffeine from a Shampoo for Hair Retention", and "Follicular Delivery of Caffeine from a Shampoo for Hair Retention".

Research Areas

skin protectiontransdermal drug deliverycosmetic sciencephotoprotectionskin agingbee productsformulation developmentpenetration enhancement
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations2,136

Emerging researcher

Publications89

Selective publication record

h-index26

Developing track record

i10-index54

Growing portfolio

Lab Environment

No lab data yet for Sabine Schanzer

+ 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.