Lilia Alberghina

About Lilia Alberghina

Lilia Alberghina, With an exceptional h-index of 60 and a recent h-index of 28 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of Systems Biology.

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

Fusion–fission–mitophagy cycling and metabolic reprogramming coordinate nerve growth factor (NGF)‐dependent neuronal differentiation

The Warburg effect explained: integration of enhanced glycolysis with heterogeneous mitochondria to promote cancer cell proliferation

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity

A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations

INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation

CDK12 promotes tumorigenesis but induces vulnerability to therapies inhibiting folate one-carbon metabolism in breast cancer

A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

Transcriptomics and metabolomics integration reveals redox-dependent metabolic rewiring in breast cancer cells

Lilia Alberghina Information

University

Position

Emeritus Professor of Biochemistry

Citations(all)

13839

Citations(since 2020)

3068

Cited By

11917

hIndex(all)

60

hIndex(since 2020)

28

i10Index(all)

224

i10Index(since 2020)

83

Email

University Profile Page

Università degli Studi di Milano-Bicocca

Google Scholar

View Google Scholar Profile

Lilia Alberghina Skills & Research Interests

Systems Biology

Top articles of Lilia Alberghina

Title

Journal

Author(s)

Publication Date

Fusion–fission–mitophagy cycling and metabolic reprogramming coordinate nerve growth factor (NGF)‐dependent neuronal differentiation

The FEBS Journal

Ilaria Goglia

Ewelina Węglarz‐Tomczak

Claudio Gioia

Yanhua Liu

Assunta Virtuoso

...

2024/2/16

The Warburg effect explained: integration of enhanced glycolysis with heterogeneous mitochondria to promote cancer cell proliferation

Lilia Alberghina

2023/10/31

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity

Bruno G Galuzzi

Stefano Izzo

Fabio Giampaolo

Salvatore Cuomo

Marco E Vanoni

...

2023/3/1

A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations

bioRxiv

Marco Vanoni

Pasquale Palumbo

Federico Papa

Stefano Busti

Laura Gotti

...

2023

INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation

PLoS computational biology

Marzia Di Filippo

Dario Pescini

Bruno Giovanni Galuzzi

Marcella Bonanomi

Daniela Gaglio

...

2022/2/7

CDK12 promotes tumorigenesis but induces vulnerability to therapies inhibiting folate one-carbon metabolism in breast cancer

Nature communications

MG Filippone

D Gaglio

R Bonfanti

FA Tucci

E Ceccacci

...

2022/5/12

A framework for validating AI in precision medicine: considerations from the European ITFoC consortium

BMC medical informatics and decision making

Rosy Tsopra

Xose Fernandez

Claudio Luchinat

Lilia Alberghina

Hans Lehrach

...

2021/12

Transcriptomics and metabolomics integration reveals redox-dependent metabolic rewiring in breast cancer cells

Cancers

Marcella Bonanomi

Noemi Salmistraro

Giulia Fiscon

Federica Conte

Paola Paci

...

2021/10/9

Methotrexate inhibits SARS‐CoV‐2 virus replication “in vitro”

Journal of medical virology

Arnaldo Caruso

Francesca Caccuri

Antonella Bugatti

Alberto Zani

Marco Vanoni

...

2021/3

ROS networks: designs, aging, Parkinson’s disease and precision therapies

NPJ systems biology and applications

Alexey N. Kolodkin

Raju Prasad Sharma

Anna Maria Colangelo

Andrew Ignatenko

Francesca Martorana

...

2020/10/26

G. Appendix III

Dr. Thomas Bruhn, Science Officer at EMRC, who coordinated and oversaw the editing of the report.

June Uri Alon

Darren James Wilkinson

Sylvia Nagl

Zoltan Szallasi

Joerg Stelling

...

2020

Use of Protein Distribution to Analyze Budding Yeast Population Structure and Cell Cycle Progression

Danilo Porro

Lilia Alberghina

2020/7/24

Systems metabolomics: From metabolomic snapshots to design principles

Chiara Damiani

Daniela Gaglio

Elena Sacco

Lilia Alberghina

Marco Vanoni

2020/6/1

Single-cell digital twins for cancer preclinical investigation

Metabolic Flux Analysis in Eukaryotic Cells: Methods and Protocols

Marzia Di Filippo

Chiara Damiani

Marco Vanoni

Davide Maspero

Giancarlo Mauri

...

2020

Nicotinamide, nicotinamide riboside and nicotinic acid—emerging roles in replicative and chronological aging in yeast

Ivan Orlandi

Lilia Alberghina

Marina Vai

2020/4/15

From computational genomics to systems metabolomics for precision cancer medicine and drug discovery

Pharmacological research

Lilia Alberghina

Gennaro Piccialli

2020

Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells

Bioinformatics

Marco S Nobile

Giuseppina Votta

Roberta Palorini

Simone Spolaor

Humberto De Vitto

...

2020/4/1

Disruption of redox homeostasis for combinatorial drug efficacy in K-Ras tumors as revealed by metabolic connectivity profiling

Cancer & metabolism

Daniela Gaglio

Marcella Bonanomi

Silvia Valtorta

Rohit Bharat

Marilena Ripamonti

...

2020/12

Neurons, glia, extracellular matrix and neurovascular unit: a systems biology approach to the complexity of synaptic plasticity in health and disease

Ciro De Luca

Anna Maria Colangelo

Assunta Virtuoso

Lilia Alberghina

Michele Papa

2020/2/24

See List of Professors in Lilia Alberghina University(Università degli Studi di Milano-Bicocca)