Zsolt Balázs

Zsolt Balázs

Universität Zürich

H-index: 18

Europe-Switzerland

About Zsolt Balázs

Zsolt Balázs, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of bioinformatics, virology, cancer genomics, long-read sequencing, cfDNA sequencing.

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

Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis

Predicting prime editing efficiency and product purity by deep learning

ROS induction targets persister cancer cells with low metabolic activity in NRAS-mutated melanoma

Memory Th1 cells modulate heterologous diseases through innate function

Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning

ROS induction as a strategy to target persister cancer cells with low metabolic activity in NRAS mutated melanoma

Abstract LB112: Liquid biopsy monitoring reveals high molecular weight cfDNA fragments associated with radiotherapy dose-intensity

A versatile computational pipeline for the preprocessing of cell-free DNA fragmentation data

Zsolt Balázs Information

University

Position

___

Citations(all)

918

Citations(since 2020)

815

Cited By

479

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Zsolt Balázs Skills & Research Interests

bioinformatics

virology

cancer genomics

long-read sequencing

cfDNA sequencing

Top articles of Zsolt Balázs

Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis

Bioinformatics

2024/1/1

Predicting prime editing efficiency and product purity by deep learning

Nature biotechnology

2023/8

ROS induction targets persister cancer cells with low metabolic activity in NRAS-mutated melanoma

Cancer Research

2023/4/4

Memory Th1 cells modulate heterologous diseases through innate function

bioRxiv

2023

Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning

bioRxiv

2023

ROS induction as a strategy to target persister cancer cells with low metabolic activity in NRAS mutated melanoma

bioRxiv

2022/10/21

Abstract LB112: Liquid biopsy monitoring reveals high molecular weight cfDNA fragments associated with radiotherapy dose-intensity

Cancer Research

2022/6/15

A versatile computational pipeline for the preprocessing of cell-free DNA fragmentation data

Cancer Research

2022/6/15

Live slow-frozen human tumor tissues viable for 2D, 3D, ex vivo cultures and single-cell RNAseq

Communications Biology

2022/10/28

Time-course transcriptome profiling of a poxvirus using long-read full-length assay

Pathogens

2021/7/21

Combined nanopore and single-molecule real-time sequencing survey of human betaherpesvirus 5 transcriptome

Scientific Reports

2021/7/14

Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach

BMC Research Notes

2021/6/24

Collection and preprocessing of fine needle aspirate patient samples for single cell profiling and data analysis

STAR protocols

2021/6/18

Oncolytic virotherapy-mediated anti-tumor response: a single-cell perspective

Cancer cell

2021/3/8

Long-read Assays Shed New Light on the Transcriptome Complexity of a Viral Pathogen and on Virus-Host Interaction

Scientific Reports

2020/8/14

See List of Professors in Zsolt Balázs University(Universität Zürich)