Enio Gjerga

About Enio Gjerga

Enio Gjerga, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Cell signalling, biological networks, omics data, systems biology, graphs and optimization methods.

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

Transverse Aortic COnstriction Multi-omics Analysis (TACOMA) uncovers pathophysiological cardiac molecular mechanisms

A machine learning and directed network optimization approach to uncover TP53 regulatory patterns

Adaptive sampling for nanopore direct RNA-sequencing

Characterizing alternative splicing effects on protein interaction networks with LINDA

Magnetique: an interactive web application to explore transcriptome signatures of heart failure

Adaptive Sampling as tool for Nanopore direct RNA-sequencing

Reconstructing the functional effect of TP53 somatic mutations on its regulon using causal signalling network modelling

Cancer-associated fibroblasts require proline synthesis by PYCR1 for the deposition of pro-tumorigenic extracellular matrix

Enio Gjerga Information

University

Position

Dr.-Ing.

Citations(all)

341

Citations(since 2020)

340

Cited By

46

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Enio Gjerga Skills & Research Interests

Cell signalling

biological networks

omics data

systems biology

graphs and optimization methods

Top articles of Enio Gjerga

Transverse Aortic COnstriction Multi-omics Analysis (TACOMA) uncovers pathophysiological cardiac molecular mechanisms

bioRxiv

2024

Enio Gjerga
Enio Gjerga

H-Index: 3

Thiago Britto-Borges
Thiago Britto-Borges

H-Index: 5

A machine learning and directed network optimization approach to uncover TP53 regulatory patterns

Iscience

2023/12/15

Adaptive sampling for nanopore direct RNA-sequencing

RNA

2023/12/1

Enio Gjerga
Enio Gjerga

H-Index: 3

Characterizing alternative splicing effects on protein interaction networks with LINDA

Bioinformatics

2023/6/1

Enio Gjerga
Enio Gjerga

H-Index: 3

Magnetique: an interactive web application to explore transcriptome signatures of heart failure

Journal of Translational Medicine

2022/11/7

Adaptive Sampling as tool for Nanopore direct RNA-sequencing

bioRxiv

2022/10/18

Enio Gjerga
Enio Gjerga

H-Index: 3

Reconstructing the functional effect of TP53 somatic mutations on its regulon using causal signalling network modelling

bioRxiv

2022/6/26

Cancer-associated fibroblasts require proline synthesis by PYCR1 for the deposition of pro-tumorigenic extracellular matrix

Nature metabolism

2022/6

Treatment with ribociclib shows favourable immunomodulatory effects in patients with hormone receptor-positive breast cancer—findings from the RIBECCA trial

European Journal of Cancer

2022/2/1

Enio Gjerga
Enio Gjerga

H-Index: 3

Ulrich Keller
Ulrich Keller

H-Index: 14

Systems approach reveals distinct and shared signaling networks of the four PGE2 receptors in T cells

Science Signaling

2021/10/5

Enio Gjerga
Enio Gjerga

H-Index: 3

PHONEMeS: efficient modeling of signaling networks derived from large-scale mass spectrometry data

Journal of Proteome Research

2021/3/8

Enio Gjerga
Enio Gjerga

H-Index: 3

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

Molecular Systems Biology

2021/1

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

Abstract B76: Pyruvate dehydrogenase: A key to epigenetic regulation in CAFs

Clinical Cancer Research

2020/7/1

Enio Gjerga
Enio Gjerga

H-Index: 3

Modelling and Analysis of Large-Scale Models of Signalling Networks

2020

Enio Gjerga
Enio Gjerga

H-Index: 3

Metabolic control of tumour extracellular matrix production in cancer-associated fibroblasts

BioRxiv

2020

Authentication of primary murine cell lines by a microfluidics-based lab-on-chip system

Biomedicines

2020/12/9

See List of Professors in Enio Gjerga University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

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