ProfessorsProfessors of Ludwig-Maximilians-Universität MünchenBeate Vieth

Beate Vieth

Ludwig-Maximilians-Universität München

H-index: 11

Europe-Germany

About Beate Vieth

Beate Vieth, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of single cell RNA-seq, statistical power analysis, simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

The effect of background noise and its removal on the analysis of single-cell expression data

Regulatory and coding sequences of TRNP1 co-evolve with brain size and cortical folding in mammals

Prime-seq, efficient and powerful bulk RNA sequencing

Statistical power analysis for single-cell RNA-sequencing

Beate Vieth Information

University	Ludwig-Maximilians-Universität München
Position	___
Citations(all)	2736
Citations(since 2020)	2372
Cited By	1336
hIndex(all)	11
hIndex(since 2020)	11
i10Index(all)	11
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Ludwig-Maximilians-Universität München
Google Scholar	View Google Scholar Profile

Beate Vieth Skills & Research Interests

single cell RNA-seq

statistical power analysis

simulation

Top articles of Beate Vieth

Title	Journal	Author(s)	Publication Date
The effect of background noise and its removal on the analysis of single-cell expression data	Genome Biology	Philipp Janssen Zane Kliesmete Beate Vieth Xian Adiconis Sean Simmons ...	2023/6/19
Regulatory and coding sequences of TRNP1 co-evolve with brain size and cortical folding in mammals	Elife	Zane Kliesmete Lucas Esteban Wange Beate Vieth Miriam Esgleas Jessica Radmer ...	2023/3/22
Prime-seq, efficient and powerful bulk RNA sequencing	Genome Biology	Aleksandar Janjic Lucas E Wange Johannes W Bagnoli Johanna Geuder Phong Nguyen ...	2022/3/31
Statistical power analysis for single-cell RNA-sequencing		Beate Vieth	2020/1/20