AcaRevival Initiative

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

Read Manifesto →
KK

Kevin Kalinsky

Oncology

Emory University

No ratings yetBe the first to rate
Loading...

About Kevin Kalinsky at Emory University (Emory)

Kevin Kalinsky is a leading oncologist at Emory University specializing in advanced breast cancer therapies and precision oncology. Representative publications include "LBA2 Datopotamab deruxtecan (Dato-DXd) vs chemotherapy (CT) in pretreated, inoperable/metastatic HR+/HER2– breast cancer (BC): Additional safety analysis from TROPION-Breast01", and "Understanding first-line treatment patterns and survival outcomes across sociodemographic groups of women with metastatic triple-negative breast cancer in the United States: a real-world study", which reflect their ongoing engagement with the field.

Research Areas

Advanced Breast CancerHER2/EGFRCancer PharmacologyEndocrine TherapyESR1 MutationsPI3K InhibitorsPrecision Oncology

Academic Impact Matrix

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

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

Research Output

Total Citations75

Emerging researcher

Publications8

Selective publication record

h-index3

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Kevin Kalinsky

+ 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.