Németh Ákos

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2018-2024

2024

Kovács, B., Németh, Á., Daróczy, B., Karányi, Z., Maroda, L., Diószegi, Á., Páll, D., Harangi, M.: A lipidanyagcsere eltéréseinek vizsgálata felnőtt hypertoniás betegek esetén adatbányászati módszerrel.
Hyperton. nephrol. 28 (1), 13-18, 2024.

doi DEA

Németh, Á., Tóth, G., Fülöp, P., Paragh, G., Nádró, B., Karányi, Z., Paragh, G. J., Horváth, Z., Csernák, Z., Pintér, E., Sándor, D., Bagyó, G., Édes, I., Kappelmayer, J., Harangi, M., Daróczy, B.: Smart Medical Report SMR: efficient detection of common and rare diseases on common blood tests.
Front. Digit. Health. 6, 1-17, (article identifier: 1505483), 2024.

doi DEA

Journal metrics:

Q1 Biomedical Engineering

Q1 Computer Science Applications

Q1 Health Informatics

Q1 Medicine (miscellaneous)

2023

Kovács, B., Németh, Á., Daróczy, B., Karányi, Z., Maroda, L., Diószegi, Á., Harangi, M., Páll, D.: Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods.
J. Cardiovasc. Dev. Dis. 10 (8), 1-14, (article identifier: 345), 2023.

doi DEA WoS Scopus

Journal metrics:

Q2 Pharmacology (medical)

Q1 Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Kovács, B., Németh, Á., Daróczy, B., Karányi, Z., Maroda, L., Diószegi, Á., Nádró, B., Szabó, T., Harangi, M., Páll, D.: Determining the prevalence of childhood hypertension and its concomitant metabolic abnormalities using data mining methods in the Northeastern region of Hungary.
Front. Cardiovasc. Med. 9, 1-10, (article identifier: 1081986), 2023.

doi DEA WoS Scopus

Journal metrics:

Q2 Cardiology and Cardiovascular Medicine

Sturm, Á., Sharma, H., Bodnár, F., Aslam, M., Kovács, T., Németh, Á., Hotzi, B., Billes, V., Sigmond, T., Tátrai, K., Egyed, B., Téglás-Huszár, B., Schlosser, G., Charmpilas, N., Ploumi, C., Perczel, A., Tavernarakis, N., Vellai, T.: N6-Methyladenine Progressively Accumulates in Mitochondrial DNA during Aging.
Int. J. Mol. Sci. 24 (19), 1-19, (article identifier: 14858), 2023.

doi DEA WoS Scopus

Journal metrics:

Q2 Catalysis

Q1 Computer Science Applications

D1 Inorganic Chemistry

Q1 Medicine (miscellaneous)

Q2 Molecular Biology

D1 Organic Chemistry

Q1 Physical and Theoretical Chemistry

D1 Spectroscopy

Alimohammadi, S., Pénzes, Z., Horváth, D., Gyetvai, Á., Bácsi, A., Kis, G., Németh, Á., Arany, J., Oláh, A., Lisztes, E., Tóth, I. B., Bíró, T., Szöllősi, A. G.: TRPV4 activation increases the expression of CD207 (Langerin) of monocyte-derived Langerhans cells, without affecting their maturation.
J. Invest. Dermatol. 143 (5), 801-811, 2023.

doi DEA WoS Scopus

Journal metrics:

Q1 Biochemistry

Q2 Cell Biology

D1 Dermatology

Q1 Molecular Biology

2022

Németh, Á., Daróczy, B., Juhász, L., Fülöp, P., Harangi, M., Paragh, G.: Assessment of associations between serum lipoprotein (a) levels and atherosclerotic vascular diseases in Hungarian patients with familial hypercholesterolemia using data mining and machine learning.
Front. Genet. 13, 1-10, (article identifier: 849197), 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Genetics

Q2 Genetics (clinical)

Q2 Molecular Medicine

Paragh, G., Németh, Á., Harangi, M., Banach, M., Fülöp, P.: Causes, clinical findings and therapeutic options in chylomicronemia syndrome, a special form of hypertriglyceridemia.
Lipids Health Dis. 21 (1), 1-14, (article identifier: 21), 2022.

doi DEA WoS Scopus

Journal metrics:

Q1 Biochemistry (medical)

Q1 Clinical Biochemistry

Q2 Endocrinology

Q1 Endocrinology, Diabetes and Metabolism

Németh, Á., Harangi, M., Daróczy, B., Juhász, L., Paragh, G., Fülöp, P.: Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods.
J Clin Med. 11, 1-14, (article identifier: 4311), 2022.

doi DEA WoS Scopus

Journal metrics:

Q1 Medicine (miscellaneous)

2018

10.

Paragh, G., Harangi, M., Karányi, Z., Daróczy, B., Németh, Á., Fülöp, P.: Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.
Atherosclerosis. 277, 262-266, 2018.

doi DEA WoS Scopus

Journal metrics:

Q1 Cardiology and Cardiovascular Medicine