AcaRevival Initiative

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

Read Manifesto →
MM

Marcel A. Mller

Virology

Heidelberg University

No ratings yetBe the first to rate
Loading...

About Marcel A. Mller at Heidelberg University

Based at the Virology Department of Heidelberg University, Marcel A. Mller is an active contributor to academic research. Their scholarly work centers on SARS-CoV-2, COVID-19, and MERS-CoV. With over 6,123 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 34 underscores the consistent quality and influence of their published research.

Research Areas

SARS-CoV-2COVID-19MERS-CoVzoonotic virusesbat virologyviral pathogenesiscoronavirus evolutionanimal reservoirs
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 Marcel A. Mller aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations6,123

Emerging researcher

Publications312

Highly prolific researcher

h-index34

Established scholar

i10-index108

Broad impact

Lab Environment

No lab data yet for Marcel A. Mller

+ 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.