Bence Szalai

Semmelweis University — Hungary

Biochemistry, Genetics and Molecular Biology · Life Sciences

20h-index2.5kcitations61works5.92yr avg
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Research Topics

Bioinformatics and Genomic Networks(21), Single-cell and spatial transcriptomics(15), Computational Drug Discovery Methods(14), Receptor Mechanisms and Signaling(14), Gene Regulatory Network Analysis(10)

Publications60 total

RIDDEN: Data-driven inference of receptor activity from transcriptomic data
PLoS Computational Biology·2025· 3 citedOpen Access
Benchmarking foundation cell models for post-perturbation RNA-seq prediction
BMC Genomics·2025· 23 citedOpen Access
Abstract 5803: Computational modeling of immune cell phenotypes enhances prediction of clinical anti-cancer drug response
Cancer Research·2025
Abstract 3718: Characterization of chromosomal instability-related dependencies through cell-specific metric for gene dosage compensation potential
Cancer Research·2025
RIDDEN: Data-driven inference of receptor activity from transcriptomic data
2024· 1 citedOpen Access
Benchmarking a foundational cell model for post-perturbation RNAseq prediction
2024· 7 citedOpen Access
G protein–coupled receptor endocytosis generates spatiotemporal bias in β-arrestin signaling
Science Signaling·2024· 7 cited
The EFFECT benchmark suite: measuring cancer sensitivity prediction performance - without the bias
2023· 5 citedOpen Access
Cannabinoid receptor type 1 (CB1R) inhibits hypothalamic leptin signaling via β-arrestin1 in complex with TC-PTP and STAT3
iScience·2023· 7 citedOpen Access
Receptor endocytosis orchestrates the spatiotemporal bias of β-arrestin signaling
2023· 1 citedOpen Access
An Unexpected Enzyme in Vascular Smooth Muscle Cells: Angiotensin II Upregulates Cholesterol-25-Hydroxylase Gene Expression
International Journal of Molecular Sciences·2023· 5 citedOpen Access
Application of perturbation gene expression profiles in drug discovery—From mechanism of action to quantitative modelling
Frontiers in Systems Biology·2023· 13 citedOpen Access
Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets
Nature Communications·2022· 26 citedOpen Access
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
Nature Communications·2022· 511 citedOpen Access
Computational drug repurposing against SARS-CoV-2 reveals plasma membrane cholesterol depletion as key factor of antiviral drug activity
PLoS Computational Biology·2022· 12 citedOpen Access
Patient-specific Boolean models of signalling networks guide personalised treatments
eLife·2022· 94 citedOpen Access
Author response: Patient-specific Boolean models of signalling networks guide personalised treatments
2022Open Access
A community challenge for a pancancer drug mechanism of action inference from perturbational profile data
Cell Reports Medicine·2022· 65 citedOpen Access
Characterization of Type 1 Angiotensin II Receptor Activation Induced Dual-Specificity MAPK Phosphatase Gene Expression Changes in Rat Vascular Smooth Muscle Cells
Cells·2021· 12 citedOpen Access
Combi-Seq: Multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets
2021· 4 citedOpen Access
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Frequent Co-authors

Julio Sáez-Rodríguez(27), László Hunyady(18), Péter Várnai(13), Gábor Turu(10), Christian H. Holland(8), Justin Guinney(6), András Dávid Tóth(6), Szilvia Barsi(6), Daniel Dimitrov(5), Alberto Valdeolivas(5), Yuanfang Guan(5), Minji Jeon(5), Russ Wolfinger(5), Jovan Tanevski(5), Javier Perales-Patón(5), Jan Gleixner(5), Manu P. Kumar(5), Elisabetta Mereu(5), Brian A. Joughin(5), Oliver Stegle(5)