Login
 Forum
 
 
Data sheet of PhD student
 Print preview
Personal data
name Attila Gáspár
name of institution Semmelweis University, Budapest
doctoral school SE János Szentágothai Doctoral School of Neurosciences
Supervision
thesis supervisor István Gyertyán
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2018/09
date of final certificate (year,month) 2022/08
Publications
2022

Varga Bence Tamás, Gáspár Attila, Ernyey Aliz Judit, Hutka Barbara, Tajti Brigitta Tekla, Zádori Zoltán Sándor, Gyertyán István: Introduction of a pharmacological neurovascular uncoupling model in rats based on results of mice, PHYSIOLOGY INTERNATIONAL 109: (3) pp. 405-418.
type of document: Journal paper/Article
language: English
URL 
2022

Gáspár Attila, Hutka Barbara, Ernyey Aliz Judit, Tajti Brigitta Tekla, Varga Bence Tamás, Zádori Zoltán Sándor, Gyertyán István: Performance of the intracerebroventricularly injected streptozotocin Alzheimer’s disease model in a translationally relevant, aged and experienced rat population, SCIENTIFIC REPORTS 12: (1) 20247
type of document: Journal paper/Article
language: English
URL 
2021

Gáspár Attila, Hutka Barbara, Ernyey Aliz Judit, Tajti Brigitta Tekla, Varga Bence Tamás, Zádori Zoltán Sándor, Gyertyán István: Intracerebroventricularly Injected Streptozotocin Exerts Subtle Effects on the Cognitive Performance of Long-Evans Rats, FRONTIERS IN PHARMACOLOGY 12: 662173
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
 
number of scientific publications:
 
monographs and professional books:
 
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
 

 
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. )