Ana Martin‐villalba - Nanotechnology

Author Information

Ana Martín-Villalba is a prominent researcher affiliated with the Division of Molecular Neurobiology at the German Cancer Research Center (DKFZ) in Heidelberg, Germany. Her work primarily focuses on the intersection of neurobiology and cancer research, exploring mechanisms related to stem cells, neural differentiation, and the cell cycle.

Research Contributions

Ana Martín-Villalba has significantly contributed to our understanding of neural stem cells, their regulation, and their role in both healthy and diseased states. Her recent publications cover topics such as the regulation of stem cell output by interferons, high-throughput screening of novel viral capsids for targeting neural stem cells, and the role of CD95 in maintaining stem cell-like properties in glioblastoma. Furthermore, her work extends into the development of computational tools for single-molecule localization microscopy data analysis and the exploration of VEGF/VEGFR2 signaling in hippocampal development.

Aliases

Ana Martín-Villalba is also known by various aliases in academic publications, including Ana Martín-villalba, A. Martin-villalba, A Martin-villalba, and Ana Martin-villalba.

Publication and Citation Metrics

Metric	Value
Number of Papers	108
Total Citations	6514
H-index	39

Publications:

Interferon adjusts stem cell output in the young and old brain to meet demand independently of its antiviral function

DOI: 10.1101/2022.02.03.478954

Year: 2022

Interferon regulates stem cell output via post-transcriptional repression of Sox2 independent of its antiviral function in the brain

DOI: 10.1101/2022.02.03.478954

Year: 2022

In vivo high-throughput screening of novel adeno-associated viral capsids targeting adult neural stem cells in the subventricular zone

DOI: 10.1101/2021.03.05.434064

Year: 2021

An efficient GUI-based clustering software for simulation and Bayesian cluster analysis of single-molecule localization microscopy data

DOI: 10.1101/2021.06.11.447933

Year: 2021

An Efficient GUI-Based Clustering Software for Simulation and Bayesian Cluster Analysis of Single-Molecule Localization Microscopy Data

DOI: 10.3389/fbinf.2021.723915

Year: 2021

High throughput screening of novel AAV capsids identifies variants for transduction of adult NSCs within the subventricular zone

DOI: 10.1016/j.omtm.2021.07.001

Year: 2021

Correction: CD95 maintains stem cell-like and non-classical EMT programs in primary human glioblastoma cells

DOI: 10.1038/s41419-020-2698-3

Year: 2020

Cdk4 and Cdk6 Couple the Cell-Cycle Machinery to Cell Growth via mTORC1.

DOI: 10.1016/j.celrep.2020.03.068

Year: 2020

Single cell 3’UTR analysis identifies changes in alternative polyadenylation throughout neuronal differentiation and in autism

DOI: 10.1101/2020.08.12.247627

Year: 2020

VEGF/VEGFR2 signaling regulates hippocampal axon branching during development

DOI: 10.7554/eLife.49818

Year: 2019

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