Attila Gabor

About Attila Gabor

Attila Gabor, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Dynamical Models in Biology.

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

A network-based transcriptomic landscape of HepG2 cells uncovering causal gene-cytotoxicity interactions underlying drug-induced liver injury

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

Explainable multiview framework for dissecting spatial relationships from highly multiplexed data

Parallel ant colony optimization for the training of cell signaling networks

Deciphering the signaling network of breast cancer improves drug sensitivity prediction

Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Causal integration of multi‐omics data with prior knowledge to generate mechanistic hypotheses

Attila Gabor Information

University

Position

Computational Biomedicine

Citations(all)

1085

Citations(since 2020)

912

Cited By

423

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Attila Gabor Skills & Research Interests

Dynamical Models in Biology

Top articles of Attila Gabor

Title

Journal

Author(s)

Publication Date

A network-based transcriptomic landscape of HepG2 cells uncovering causal gene-cytotoxicity interactions underlying drug-induced liver injury

Toxicological Sciences

Lukas S Wijaya

Attila Gabor

Iris E Pot

Luca van de Have

Julio Saez-Rodriguez

...

2024/3/1

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

bioRxiv

Victor Paton

Attila Gabor

Ricardo Omar Ramirez Flores

Pau Badia-i-Mompel

Jovan Tanevski

...

2023

Explainable multiview framework for dissecting spatial relationships from highly multiplexed data

Genome biology

Jovan Tanevski

Ricardo Omar Ramirez Flores

Attila Gabor

Denis Schapiro

Julio Saez-Rodriguez

2022/4/14

Parallel ant colony optimization for the training of cell signaling networks

Expert Systems with Applications

Patricia González

Roberto Prado-Rodriguez

Attila Gábor

Julio Saez-Rodriguez

Julio R Banga

...

2022/12/1

Deciphering the signaling network of breast cancer improves drug sensitivity prediction

Cell Systems

Marco Tognetti

Attila Gabor

Mi Yang

Valentina Cappelletti

Jonas Windhager

...

2021/5/19

Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis

Molecular systems biology

Dénes Türei

Alberto Valdeolivas

Lejla Gul

Nicolàs Palacio‐Escat

Michal Klein

...

2021/3

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Molecular systems biology

Attila Gabor

Marco Tognetti

Alice Driessen

Jovan Tanevski

Baosen Guo

...

2021/10

Causal integration of multi‐omics data with prior knowledge to generate mechanistic hypotheses

Molecular Systems Biology

Aurelien Dugourd

Christoph Kuppe

Marco Sciacovelli

Enio Gjerga

Attila Gabor

...

2021/1

Logic modelling of toxicology pathways

Toxicology Letters

A Gabor

J Saez-Rodriguez

2021/9/1

New insights into the mechanisms underlying 5-fluorouracil-induced intestinal toxicity based on transcriptomic and metabolomic responses in human intestinal organoids

Archives of Toxicology

Daniela Rodrigues

Terezinha de Souza

Luke Coyle

Matteo Di Piazza

Bram Herpers

...

2021/8

Integration of temporal single cell cellular stress response activity with logic-ODE modeling reveals activation of ATF4-CHOP axis as a critical predictor of drug-induced liver …

Biochemical Pharmacology

Lukas Surya Wijaya

Panuwat Trairatphisan

Attila Gabor

Marije Niemeijer

Jason Keet

...

2021/8/1

Bringing data from curated pathway resources to Cytoscape with OmniPath

Bioinformatics

Francesco Ceccarelli

Denes Turei

Attila Gabor

Julio Saez-Rodriguez

2020/4/15

OmnipathR: utility functions to work with Omnipath in R

Alberto Valdeolivas

Attila Gabor

Denes Turei

Julio Saez-Rodriguez

2020/3/26

Deciphering the signaling network landscape of breast cancer improves drug sensitivity prediction

biorxiv

Marco Tognetti

Attila Gabor

Mi Yang

Valentina Cappelletti

Jonas Windhager

...

2020/1/21

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

Life Science Alliance

Jovan Tanevski

Thin Nguyen

Buu Truong

Nikos Karaiskos

Mehmet Eren Ahsen

...

2020/11/1

Integrated intra-and intercellular signaling knowledge for multicellular omics analysis (preprint)

Dénes Türei

Alberto Valdeolivas

Lejla Gul

Nicolàs Palacio-Escat

Olga Ivanova

...

2020

Converting networks to predictive logic models from perturbation signalling data with CellNOpt

Bioinformatics

Enio Gjerga

Panuwat Trairatphisan

Attila Gabor

Hermann Koch

Celine Chevalier

...

2020/8/15

Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data

BioRxiv

Jovan Tanevski

Ricardo Omar Ramirez Flores

Attila Gabor

Denis Schapiro

Julio Saez-Rodriguez

2020/5/10

See List of Professors in Attila Gabor University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

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