Juergen Zanghellini

About Juergen Zanghellini

Juergen Zanghellini, With an exceptional h-index of 32 and a recent h-index of 22 (since 2020), a distinguished researcher at Universität Wien, specializes in the field of Systems Biology, Computational Biology, Metabolic Engineering, Constraint-based modelling.

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

PyCoMo: a python package for community metabolic model creation and analysis

Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate

Characterising the metabolic rewiring of extremely slow growing Komagataella phaffii

Beyond exponential phase: Metabolic phenotypes in the stationary phase of CHO cell cultures

Tailored mass spectral data exploration using the specXplore interactive dashboard

Optimizing VLP production in gene therapy: Opportunities and challenges for in silico modeling

ecmtool: fast and memory-efficient enumeration of elementary conversion modes

MeXpose-A modular imaging pipeline for the quantitative assessment of cellular metal bioaccumulation

Juergen Zanghellini Information

University

Position

Department of Analytical Chemistry @

Citations(all)

3940

Citations(since 2020)

1871

Cited By

2890

hIndex(all)

32

hIndex(since 2020)

22

i10Index(all)

55

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Juergen Zanghellini Skills & Research Interests

Systems Biology

Computational Biology

Metabolic Engineering

Constraint-based modelling

Top articles of Juergen Zanghellini

Title

Journal

Author(s)

Publication Date

PyCoMo: a python package for community metabolic model creation and analysis

Bioinformatics

Michael Predl

Marianne Mießkes

Thomas Rattei

Jürgen Zanghellini

2024/4/1

Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate

Communications Biology

Diana Széliová

Stefan Müller

Jürgen Zanghellini

2024/2/17

Characterising the metabolic rewiring of extremely slow growing Komagataella phaffii

Microbial Biotechnology

Benjamin Luke Coltman

Corinna Rebnegger

Brigitte Gasser

Jürgen Zanghellini

2024/1

Beyond exponential phase: Metabolic phenotypes in the stationary phase of CHO cell cultures

Jerneja Štor

David Ruckerbauer

Diana Széliová

Sarah Sacco

Jamey Young

...

2023

Tailored mass spectral data exploration using the specXplore interactive dashboard

bioRxiv

Kevin Mildau

Henry Ehlers

Ian Oesterle

Manuel Pristner

Benedikt Warth

...

2023/10/5

Optimizing VLP production in gene therapy: Opportunities and challenges for in silico modeling

Leopold Zehetner

Diana Széliová

Barbara Kraus

Michael Graninger

Jürgen Zanghellini

...

2023/7

ecmtool: fast and memory-efficient enumeration of elementary conversion modes

Bioinformatics

Bianca Buchner

Tom J Clement

Daan H de Groot

Jürgen Zanghellini

2023/3

MeXpose-A modular imaging pipeline for the quantitative assessment of cellular metal bioaccumulation

bioRxiv

Gabriel Braun

Martin Schaier

Paulina Werner

Sarah Theiner

Juergen Zanghellini

...

2023

Differential logistic PCA for large-scale comparison of GSMMs and pathway analysis

bioRxiv

Leopold Zehetner

Diana Szeliova

Barbara Kraus

Juan Hernandez Bort

Juergen Zanghellini

2023

Sulfate limitation increases specific plasmid DNA yield and productivity in E. coli fed-batch processes

Microbial Cell Factories

Mathias Gotsmy

Florian Strobl

Florian Weiß

Petra Gruber

Barbara Kraus

...

2023/11/28

Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth

PLoS computational biology

Stefan Müller

Diana Széliová

Jürgen Zanghellini

2022/2/1

Homologue series detection and management in LC-MS data with homologueDiscoverer

Bioinformatics

Kevin Mildau

Justin JJ van der Hooft

Mira Flasch

Benedikt Warth

Yasin El Abiead

...

2022/11/15

Heterogeneous multimeric metabolite ion species observed in LC-MS based metabolomics data sets

Analytica Chimica Acta

Yasin El Abiead

Christoph Bueschl

Lisa Panzenboeck

Mingxun Wang

Maria Doppler

...

2022/10/9

Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements

BMC Bioinformatics

Mathias Gotsmy

Julia Brunmair

Christoph Bueschl

Christopher Gerner

Zanghellini

...

2022/9/16

PeakBot: machine-learning-based chromatographic peak picking

Bioinformatics

Christoph Bueschl

Maria Doppler

Elisabeth Varga

Bernhard Seidl

Mira Flasch

...

2022/7/1

Inclusion of maintenance energy improves the intracellular flux predictions of CHO

PLoS Computational Biology

Diana Széliová

Jerneja Štor

Isabella Thiel

Marcus Weinguny

Michael Hanscho

...

2021/6/11

Error propagation in constraint‐based modeling of Chinese hamster ovary cells

Biotechnology Journal

Diana Széliová

Dmytro Iurashev

David E Ruckerbauer

Gunda Koellensperger

Nicole Borth

...

2021/4

EFMlrs: a Python package for elementary flux mode enumeration via lexicographic reverse search

BMC bioinformatics

Bianca A Buchner

Jürgen Zanghellini

2021/12

Finger sweat analysis enables short interval metabolic biomonitoring in humans

Nature Communications

Julia Brunmair

Mathias Gotsmy

Laura Niederstaetter

Benjamin Neuditschko

Andrea Bileck

...

2021/10/13

Towards rational glyco-engineering in CHO: from data to predictive models

Jerneja Štor

David E Ruckerbauer

Diana Széliová

Jürgen Zanghellini

Nicole Borth

2021/10/1

See List of Professors in Juergen Zanghellini University(Universität Wien)

Co-Authors

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