Department of Human Genetics

UNIVERSITY of DEBRECEN

Mária Csumita, Dr. Nagyné, M.Sc.

Mária Csumita, Dr. Nagyné, M.Sc.
Assistant research fellow
Phone: +36 52 512 900 /

E-mail: csumita.maria@med.unideb.hu
Personal information:

Mária Csumita M.Sc.
Assistant research fellow
csumita.maria@med.unideb.hu                    
 
Studies:

2007-2011 Chemical engineering BSc., University of Debrecen, Faculty of Science and Technology
2012-2014 Biochemical engineering MSc., University of Debrecen, Faculty of Science and Technology
2014-2017 Theoretical Medicine PhD, University of Debrecen, Doctoral School of Molecular Cellular and Immune Biology
2017 Laboratory Animal Science and Welfare – level B, University of Debrecen, Committee of Animal Welfare
2017-2018 Clinical research assistant (CRA), University of Miskolc, Faculty of Healthcare Kar
 
Scientific qualification / title: -
           
Language skills:

English (intermediate), Slovak (intermediate)         
                       
Work experience:

2018-2019 – assistant research fellow, Department of Biochemistry and Molecular Biology
2017-2019 – predoctoral fellow, Department of Biochemistry and Molecular Biology
2013-2015 – molecular biologist, UD-Genomed Medical Genomic Technologies Ltd.
 
Experience abroad:             

2012 Erasmus Scholarship: University of Eastern Finland, School of Pharmacy, Institute of Biopharmacy, Kuopio, Finland
2015 Campus Hungary Scholarship: QPCR and NGS Symposium - Technical University of Munich, Germany
2017 Campus Mundi Scholarship: Max Planck Institute of Biochemistry, Munich, Germany
 
Membership:                        

National Society of PhD Students
 
Awards/Medals:

2012 University of Debrecen – Conference of Students’ Research Society for Medical and Health Sciences
Csumita M.: Role of anandamid during differentiation of adipocytes (special award)
                                  
Fields of interest:

-investigating the efficacy of biological therapies in chronic inflammatory diseases
-investigation of immune responses at transcription level in TLR-activated dendritic cells
-identification of bacterial communities using next generation sequencing methods in both clinical and environmental samples
 
Scientometric data:              

Publications: English: 2
Number of citations: (without self-citations:) 2
Impact factor:
15.295
Hirsch index: 1
MTMT number: 10057535
Tudóstér

 

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