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

Parallel ant colony optimization for the training of cell signaling networks

Explainable multiview framework for dissecting spatial relationships from highly multiplexed data

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

Logic modelling of toxicology pathways

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

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 …

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

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

Toxicological Sciences

2024/3/1

Attila Gabor
Attila Gabor

H-Index: 9

Bob Van De Water
Bob Van De Water

H-Index: 40

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

bioRxiv

2023

Parallel ant colony optimization for the training of cell signaling networks

Expert Systems with Applications

2022/12/1

Explainable multiview framework for dissecting spatial relationships from highly multiplexed data

Genome biology

2022/4/14

Logic modelling of toxicology pathways

Toxicology Letters

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

2021/8

Attila Gabor
Attila Gabor

H-Index: 9

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

2021/8/1

Deciphering the signaling network of breast cancer improves drug sensitivity prediction

Cell Systems

2021/5/19

Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis

Molecular systems biology

2021/3

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

Molecular Systems Biology

2021/1

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

2020

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

Bioinformatics

2020/8/15

Enio Gjerga
Enio Gjerga

H-Index: 3

Attila Gabor
Attila Gabor

H-Index: 9

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

BioRxiv

2020/5/10

Bringing data from curated pathway resources to Cytoscape with OmniPath

Bioinformatics

2020/4/15

Francesco Ceccarelli
Francesco Ceccarelli

H-Index: 0

Attila Gabor
Attila Gabor

H-Index: 9

OmnipathR: utility functions to work with Omnipath in R

2020/3/26

Attila Gabor
Attila Gabor

H-Index: 9

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

biorxiv

2020/1/21

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

Co-Authors

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