AcaRevival Initiative

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

Read Manifesto →
JW

Jacob Wainer

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Jacob Wainer at Massachusetts Institute of Technology (MIT)

Jacob Wainer is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Advanced Drug Delivery Systems, Advancements in Transdermal Drug Delivery, and Drug Solubulity and Delivery Systems. As a highly cited researcher, their work has accumulated over 1,043 citations, reflecting substantial influence across the academic community. Their H-index of 9 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Advanced Drug Delivery SystemsAdvancements in Transdermal Drug DeliveryDrug Solubulity and Delivery SystemsDiabetes Treatment and ManagementLipid Membrane Structure and Behavior

Academic Impact Matrix

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

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

Research Output

Total Citations1,043

Emerging researcher

Publications14

Selective publication record

h-index9

Developing track record

i10-index9

Early-stage portfolio

Lab Environment

No lab data yet for Jacob Wainer

+ 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.