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personal data approved: 2024. I. 05.
Personal data
Dániel Veres
name Dániel Veres
name of institution
doctoral school
SE Doctoral School of Molecular Medicine (Academic staff member)
SE Doctoral School of University Semmelweis (Supervisor)
the share of work in the different doctoral schools. SE Doctoral School of University Semmelweis 100%
Contact details
E-mail address daniel.veresturbine.ai
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2018
discipline to which degree belongs biology
institution granting the degree Semmelweis University
Employment
2017 - Semmelweis University, Budapest
other (not specified) (önkéntes tudományos munkatárs)
2015 - Turbine Kft (research institute, not university)
other (not specified) (Tudományos Főigazgató)
Thesis topic supervisor
number of doctoral students supervised until now 1.5
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
(50%) Péter Mendik PhD 2023  DSMM-SE

present PhD students:
(50%) Klára Schulc (PhD) (2025/01)  SEDI (to be translated)
(50%) Andrea Zsuzsanna Császár (PhD) (2024/08)  SEDI (to be translated)
  Thesis topic proposals
Research
research area Molecular Oncology
research field in which current research is conducted biology
pharmaceutics
Publications
2022

Mendik Péter, Kerestély Márk, Kamp Sebestyén, Deritei Dávid, Kunšič Nina, Vassy Zsolt, Csermely Péter, Veres Daniel V.: Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model, NPJ SYSTEMS BIOLOGY AND APPLICATIONS 8: (1) 19
type of document: Journal paper/Article
language: English
URL 
2021

Schulc Klára, Nagy Zsolt T., Kamp Sebestyén, Molnár János, Veres Daniel V., Csermely Peter, Kovács Borbála M.: Modular Reorganization of Signaling Networks during the Development of Colon Adenoma and Carcinoma, JOURNAL OF PHYSICAL CHEMISTRY B 125: (7) pp. 1716-1726.
type of document: Journal paper/Article
language: English
URL 
2020

Csermely P., Kunsic N., Mendik P., Kerestély M., Faragó T., Veres D.V., Tompa P.: Learning of Signaling Networks: Molecular Mechanisms, TRENDS IN BIOCHEMICAL SCIENCES 45: (4) pp. 284-294.
type of document: Journal paper/Review paper
number of independent citations: 16
language: English
URL 
2019

Mendik Peter, Dobronyi Levente, Hari Ferenc, Kerepesi Csaba, Maia-Moco Leonardo, Buszlai Donat, Csermely Peter, Veres Daniel V.: Translocatome: a novel resource for the analysis of protein translocation between cellular organelles, NUCLEIC ACIDS RESEARCH 47: (D1) pp. D495-D505.
type of document: Journal paper/Article
number of independent citations: 9
language: English
URL 
2017

Adami H-O, Csermely P, Veres DV, Emilsson L, Løberg M, Bretthauer M, Kalager M: Are rapidly growing cancers more lethal?, EUROPEAN JOURNAL OF CANCER 72: pp. 210-214.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2015

Csermely P, Hodsagi J, Korcsmaros T, Modos D, Perez-Lopez AR, Szalay K, Veres DV, Lenti K, Wu LY, Zhang XS: Cancer stem cells display extremely large evolvability alternating plastic and rigid networks as a potential mechanism Network models, novel therapeutic target strategies, and the contributions of hypoxia, inflammation and cellular senescence, SEMINARS IN CANCER BIOLOGY 30: pp. 42-51.
type of document: Journal paper/Review paper
number of independent citations: 42
language: English
URL 
2015

Veres D, Gyurko D, Thaler B, Szalay K, Fazekas D, Korcsmaros T, Csermely P: ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis, NUCLEIC ACIDS RESEARCH 43: (D1) pp. D485-D493.
type of document: Journal paper/Article
number of independent citations: 72
language: English
URL 
2013

Gyurko DM, Veres DV, Modos D, Lenti K, Korcsmaros T, Csermely P: Adaptation and learning of molecular networks as a description of cancer development at the systems-level: potential use in anti-cancer therapies, SEMINARS IN CANCER BIOLOGY 23: (4) pp. 262-269.
type of document: Journal paper/Review paper
number of independent citations: 22
language: English
Full text 
2012

Csermely P, Sandhu KS, Hazai E, Hoksza Z, Kiss HJM, Miozzo F, Veres DV, Piazza F, Nussinov R: Disordered Proteins and Network Disorder in Network Descriptions of Protein Structure, Dynamics and Function: Hypotheses and a Comprehensive Review, CURRENT PROTEIN AND PEPTIDE SCIENCE 13: (1) pp. 19-33.
type of document: Journal paper/Review paper
number of independent citations: 43
language: English
URL 
2009

Simkó G I, Gyurkó D, Veres D V, Nánási T, Csermely P: Network strategies to understand the aging process and help age-related drug design, GENOME MEDICINE 1: (9) 90
type of document: Journal paper/Review paper
number of independent citations: 30
language: English
URL 
Number of independent citations to these publications:238 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
20
number of scientific publications:
20
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
277


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )