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personal data approved: 2023. I. 23.
Personal data
Attila Marcell Szász
name Attila Marcell Szász
name of institution
doctoral school
SE Doctoral School of Pathological Sciences
Council of the Doctoral School
the share of work in the different doctoral schools. SE Doctoral School of University Semmelweis 100%
accreditation statement submitted to: Semmelweis University, Budapest
Contact details
E-mail address szaszamgmail.com
phone number +36 1 215-7300/9684
Academic title
scientific degree, title Ph.D.
year degree was obtained 2012
discipline to which degree belongs theoretical medicine
institution granting the degree Semmelweis University
scientific degree, title Habilitation
year degree was obtained 2020
discipline to which degree belongs theoretical medicine
institution granting the degree Semmelweis University
Employment
2007 - Semmelweis University, Budapest
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 4
number of students who fulfilled course requirements 1
students who obtained their degrees:
Balázs Ács PhD 2018  DSPS2-SE

completed course requirement:
Beáta Szeitz (PhD) 2024/01  SEDI (to be translated)
Réka Mohácsi (PhD) 2021/08  DSPS2-SE
present PhD students:
Emese Ágoston (PhD) (2024/08)  SEDI (to be translated)
Gergő Lóránt (PhD) (2024/08)  SEDI (to be translated)
  Thesis topic proposals
Research
research area Biomarkers in solid tumors - biological basis and pathobiological consequences. Translational research, development and implementation of innovative diagnostic tests and effects on health economy.
research field in which current research is conducted clinical medicine
theoretical medicine
Publications
2021

Denes L, Horvath DG, Duran O, Ratkhjen PH, Kraft C, Acs B, Szasz AM, Rumenapf T, Papp M, Ladinig A, Balka G: In Situ Hybridization of PRRSV-1 Combined with Digital Image Analysis in Lung Tissues of Pigs Challenged with PRRSV-1, VETERINARY SCIENCES 8: (10) 235
type of document: Journal paper/Article
language: English
URL 
2020

Szász AM, Tóbiás B, Kósa J, Lakatos P: Molekuláris reziduális tumor meghatározása vérből szolid tumoros betegek esetében, KLINIKAI ONKOLÓGIA 7: (2) pp. 149-154.
type of document: Journal paper/Review paper
language: Hungarian
2020

Kim Tae Young, Ji Eun Sun, Lee Ju Yeon, Kim Jin Young, Yoo Jong Shin, Szasz A. Marcell, Dome Balazs, Marko-Varga Gyorgy, Kwon Ho Jeong: DNA Polymerase Alpha Subunit B Is a Binding Protein for Erlotinib Resistance in Non-Small Cell Lung Cancer, CANCERS 12: (9) 2613
type of document: Journal paper/Article
language: English
URL 
2019

Marcell Szasz A, Malm Johan, Rezeli Melinda, Sugihara Yutaka, Betancourt Lazaro H, Rivas Daniel, Gyorffy Balázs, Marko-Varga György: Challenging the heterogeneity of disease presentation in malignant melanoma-impact on patient treatment, CELL BIOLOGY AND TOXICOLOGY 35: (1) pp. 1-14.
type of document: Journal paper/Review paper
number of independent citations: 8
language: English
URL 
2018

Ács B, Madaras L, Kovács KA, Micsik T, Tőkes AM, Győrffy B, Kulka J, Szász AM: Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer., PATHOLOGY AND ONCOLOGY RESEARCH 24: (1) pp. 115-127.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL 
2017

Szekely B, Nagy ZI, Farago Z, Kiss O, Lotz G, Kovacs KA, Madaras L, Udvarhelyi N, Dank M, Szentmartoni G, Baranyai Z, Harsanyi L, Tokes AM, Timar J, Szasz AM, Kulka J: Comparison of immunophenotypes of primary breast carcinomas and multiple corresponding distant metastases: an autopsy study of 25 patients, CLINICAL & EXPERIMENTAL METASTASIS 34: (1) pp. 103-113.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2016

Szasz AM, Lanczky A, Nagy A, Forster S, Hark K, Green JE, Boussioutas A, Busuttil R, Szabo A, Gyorffy B: Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients., ONCOTARGET 7: (31) pp. 49322-49333.
type of document: Journal paper/Article
number of independent citations: 728
language: English
URL 
2016

Kulka J, Székely B, Lukács LV, Kiss O, Tőkés AM, Vincze E, Turányi E, Fillinger J, Hanzély Z, Arató G, Szendrői M, Győrffy B, Szász AM: Comparison of predictive immunohistochemical marker expression of primary breast cancer and paired distant metastasis using surgical material: A Practice-based study, JOURNAL OF HISTOCHEMISTRY & CYTOCHEMISTRY 64: (4) pp. 256-267.
type of document: Journal paper/Article
number of independent citations: 12
language: English
URL 
2013

Szász AM, Li Q, Eklund AC, Sztupinszki Z, Rowan A, Tőkés A, Székely B, Kiss A, Szendrői M, Győrffy B, Szállási Z, Swanton C, Kulka J: The CIN4 Chromosomal Instability qPCR Classifier Defines Tumor Aneuploidy and Stratifies Outcome in Grade 2 Breast Cancer, PLOS ONE 8: (2) e56707
type of document: Journal paper/Article
number of independent citations: 23
language: English
URL 
2013

A'Hern RP, Jamal-Hanjani M, Szasz AM, Johnston SR, Reis-Filho JS, Roylance R, Swanton C: Taxane benefit in breast cancer--a role for grade and chromosomal stability., NATURE REVIEWS CLINICAL ONCOLOGY 10: (6) pp. 357-364.
type of document: Journal paper/Review paper
number of independent citations: 22
language: English
URL 
Number of independent citations to these publications:806 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
226
number of scientific publications:
249
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
2775


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. )