Dávid Fazekas

About Dávid Fazekas

Dávid Fazekas, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Eötvös Loránd Tudományegyetem, specializes in the field of bioinformatics, network biology.

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

AutophagyNet: High-resolution data source for the analysis of autophagy and its regulation

Multilayered Networks of SalmoNet2 Enable Strain Comparisons of the Salmonella Genus on a Molecular Level

A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in ulcerative colitis

SignaLink3: a multi-layered resource to uncover tissue-specific signaling networks

TFLink: an integrated gateway to access transcription factor–target gene interactions for multiple species

The gene regulation knowledge commons: the action area of GREEKC

DOP07 Ulcerative Colitis associated single nucleotide polymorphisms found in transcription factor binding sites effect key pathogenesis pathways and facilitate patient …

Sherlock: an open-source data platform to store, analyze and integrate Big Data for biology [version 1; peer review: 2

Dávid Fazekas Information

University

Position

Department of Genetics

Citations(all)

985

Citations(since 2020)

587

Cited By

622

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Dávid Fazekas Skills & Research Interests

bioinformatics

network biology

Top articles of Dávid Fazekas

AutophagyNet: High-resolution data source for the analysis of autophagy and its regulation

Autophagy

2024/1/2

Dávid Fazekas
Dávid Fazekas

H-Index: 10

Martina Poletti
Martina Poletti

H-Index: 14

Multilayered Networks of SalmoNet2 Enable Strain Comparisons of the Salmonella Genus on a Molecular Level

Msystems

2022/8/30

A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in ulcerative colitis

Nature Communications

2022/4/28

SignaLink3: a multi-layered resource to uncover tissue-specific signaling networks

Nucleic acids research

2022/1/7

TFLink: an integrated gateway to access transcription factor–target gene interactions for multiple species

Database

2022/1/1

Dávid Fazekas
Dávid Fazekas

H-Index: 10

The gene regulation knowledge commons: the action area of GREEKC

Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms

2022/1/1

DOP07 Ulcerative Colitis associated single nucleotide polymorphisms found in transcription factor binding sites effect key pathogenesis pathways and facilitate patient …

Journal of Crohn's and Colitis

2021/5/1

Sherlock: an open-source data platform to store, analyze and integrate Big Data for biology [version 1; peer review: 2

F1000Research

2021

INTEGRATED NETWORK ANALYSIS USING PATIENT-SPECIFIC SINGLE NUCLEOTIDE POLYMORPHISM PROFILES UNCOVERS NEW PATHWAYS INVOLVED IN ULCERATIVE COLITIS PATHOGENESIS

Gastroenterology

2020

See List of Professors in Dávid Fazekas University(Eötvös Loránd Tudományegyetem)