Lorenz Hexemer

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Transforming Growth Factor

Induced Apoptosis

Epithelial Mesenchymal Transition

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

PLoS computational biology

This page only lists publications with an associated author ORCID identifier.

Publications

Stefan Bohn, Lorenz Hexemer, Zixin Huang, Laura Strohmaier, Sonja Lenhardt, Stefan Legewie, Alexander Löwer
State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences of the United States of America 120 (10) (2023)
Stefan Bohn, Lorenz Hexemer, Zixin Huang, Laura Strohmaier, Sonja Lenhardt, Stefan Legewie, Alexander Löwer
State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences of the United States of America 120 (10) (2023)
Stefan Bohn, Lorenz Hexemer, Zixin Huang, Laura Strohmaier, Sonja Lenhardt, Stefan Legewie, Alexander Löwer
State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences of the United States of America 120 (10) (2023)
Stefan Bohn, Lorenz Hexemer, Zixin Huang, Laura Strohmaier, Sonja Lenhardt, Stefan Legewie, Alexander Löwer
State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences of the United States of America 120 (10) (2023)
Stefan Bohn, Lorenz Hexemer, Zixin Huang, Laura Strohmaier, Sonja Lenhardt, Stefan Legewie, Alexander Löwer
State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences of the United States of America 120 (10) (2023)
Niklas Kolbe, Lorenz Hexemer, Lukas-Malte Bammert, Alexander Löwer, Mária Lukáčová-Medvid'ová, Stefan Legewie
Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling. PLoS computational biology 18 (6) (2022)