Publications

Peer-reviewed Journal Articles

An * indicates equal contribution or joint correspondence

2024



  • J. Krummeich, L. Nardi, C. Caliendo, D. Aschauer, V. Engelhardt, A. Arlt, J. Maier, F. Bicker, M. D. Kwiatkowski, K. Rolski, K. Vincze, R. Schneider, S. Rumpel, S. Gerber, M. J. Schmeisser, S. Schweiger: Premature cognitive decline in a mouse model of tuberous sclerosis. https://doi.org/10.1111/acel.14318 Aging Cell, e14318 (2024)

IF: 8.0


IF: 5.8

IF: 6.1


IF: 3,6

IF: 12.8


  • Mohit Navandar, Constance Vennin, Beat Lutz and Susanne Gerber: lncRNA expression and regulation across different brain regions in primates. Nature Scientific Data, 11, 545 (2024)

    IF: 10.8


  • Tamer Butto, Stefan Pastore, Max Müller, Kaushik Viswanathan Iyer, Stefan Mündnich, Anna Wierczeiko, Kristina Friedland, Mark Helm, Marie-Luise Winz and Susanne Gerber Real-time transcriptomic profiling in distinct experimental conditions.  eLife (2024)
    IF: 8,7


  • Nicolas Ruffini*, Saleh Altahini*, Stephan Weißbach*, Nico Weber, Jonas Milkovits, Anna Wierczeiko, Hendrik Backhaus, Albrecht Stroh, ViNe-Seg: Deep-Learning assisted segmentation of visible neurons and subsequent analysis embedded in a graphical user interface, Bioinformatics, 2024, btae177, https://doi.org/10.1093/bioinformatics/btae177

IF: 5.8

IF: 9.8

2023

IF: 4.7


  • Illia Horenko, Edoardo Vecchi, Juraj Kardos, Olaf Schenk, Andreas Wachter,  Terence O’Kane, Patrick Gagliardini and Susanne Gerber: On cheap entropy-sparsified regression learning.  Proceedings of the National Academy of Sciences of the United States of America  (PNAS), 120 (1) e2214972120, https://doi.org/10.1073/pnas.22149721, (2023).

    IF: 12.8

2022

 

2021




2020


2019

2018

2017

2016

2015

2014

2011 and before

Books and Book-Chapter

Theses: