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Personal data
name Zsófia Sztyéhlikné Bérces
name of institution
doctoral school  
Supervision
thesis supervisor Anita Pongrácz
co-supervisor Kristóf Iván
one supervisor or with co-supervisor co-supervisor
degree PhD
starting of doctoral studies 2013
date of final certificate (year,month) 2016/08
year in which degree was obtained 2018
diszertáció Main findings in the thesis (in English)The thesis
data of the public discussion defense
Publications
2016

Zs Bérces, K Tóth, G Márton, I Pál, B Kováts-Megyesi, Z Fekete, I Ulbert, A Pongrácz: Neurobiochemical changes in the vicinity of a nanostructured neural implant, SCIENTIFIC REPORTS 6: Paper 35944. p.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2016

Zsófia Sztyéhlikné Bérces: Bioactive properties of nanostructured surfaces, PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS 11: pp. 111-114.
type of document: Journal paper/Article
language: English
2016

Bérces Z, Csernyus B, Liliom H, Schlett K, Pinke D, Low P, Horváth Á, Fekete Z, Pongrácz A: Attachment of Primary Mouse Astroglial Cells on Neural Implant Surfaces, In: Procedia Engineering.Budapest, Magyarország, 2016.09.04-2016.09.07. (168) Amsterdam: Elsevier Science Ltd., pp. 172-175. Kiadvány: (168) Amsterdam: Elsevier Science Ltd., 2016. (168.)
type of document: Conference paper/Előadás vagy poszter cikke
language: English
DOI 
2016

Fekete Z, Pálfi E, Márton G, Handbauer M, Bérces Zs, Ulbert I, Pongrácz A, Négyessy L: Combined in vivo recording of neural signals and iontophoretic injection of pathway tracers using a hollow silicon microelectrode, SENSORS AND ACTUATORS B-CHEMICAL 236: pp. 815-824.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2015

Fekete Z, Pálfi E, Márton G, Handbauer M, Bérces Zs, Ulbert I, Pongrácz A, Négyessy L: In Vivo Iontophoretic BDA Injection through a Buried Microfluidic Channel of a Neural Multielectrode, PROCEDIA ENGINEERING 120: pp. 464-467.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 1
language: English
DOI 
2015

Zsófia Sztyéhlikné Bérces: Investigation of neural stem cells’ response to nanostructured biosensor surfaces, PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS 10: pp. 93-96.
type of document: Journal paper/Article
language: English
2014

Z Fekete, Á Horváth, Zs Bérces, A Pongrácz: Black poly-silicon: a nanostructured seed layer for sensor applications, SENSORS AND ACTUATORS A-PHYSICAL 216: pp. 277-286.
type of document: Journal paper/Article
number of independent citations: 3
language: English
DOI 
2014

Zsófia Bérces: Neural cell response to nanostructured biosensor surfaces, PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS 2014: (-) pp. 59-62.
type of document: Journal paper/Article
language: English
2014

Zs Bérces, Á Horváth, A Jády, A Pongrácz, E Madarász, Z Fekete: Neural Cell Response to Nanostructured Biosensor Surfaces, PROCEDIA ENGINEERING 87: pp. 971-974.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 3
language: English
URL 
2013

A Pongrácz, Z Fekete, G Márton, Zs Bérces, I Ulbert, P Fürjes: Deep-brain silicon multielectrodes for simultaneous in vivo neural recording and drug delivery, SENSORS AND ACTUATORS B-CHEMICAL 189: pp. 97-105.
type of document: Journal paper/Article
number of independent citations: 21
language: English
URL 
Number of independent citations to these publications:34 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
5
number of scientific publications:
5
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
11

 
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. )