The library will operate on a duty schedule between 22 December 2025 and 4 January 2026. During this period, it will be possible to upload publications, but all other services will be suspended.
Nagy, D. T.,
Fülesdi, B.,
Kozma, B.,
Páll, D.,
Szatmári, S.,
Hupuczi, P.:
Assessment of Cerebral Hemodynamic Changes During Roll-Over Test in Healthy Pregnant Women and Those with Mild and Severe Preeclampsia.
J Clin Med. 14 (4), 1-9, (article identifier: 1182), 2025.
Hermenean, A.,
Dossi, E.,
Hamilton, A.,
Trotta, M. C.,
Russo, M.,
Lepre, C. C.,
Sajtos, C.,
Rusznyák, Á.,
Váradi, J.,
Bácskay, I.,
Budai, I.,
D'Amico,, M.,
Fenyvesi, F.:
Chrysin Directing an Enhanced Solubility through the Formation of a Supramolecular Cyclodextrin-Calixarene Drug Delivery System: A Potential Strategy in Antifibrotic Diabetes Therapeutics.
Pharmaceuticals (Basel). 17 (1), 1-20, (article identifier: 107), 2024.
Berta, E.,
Lengyel, I.,
Hegedűs, L.,
Papini, E.,
Perros, P.,
Negro, R.,
Attanasio, R.,
Nagy, E. V.,
Bodor, M.:
Pajzsmirigyhormon-kezelési szokások Magyarországon.
Orv. hetil. 163 (12), 463-472, 2022.
Q1
Biochemistry, Genetics and Molecular Biology (miscellaneous)
D1
Medicine (miscellaneous)
16.
Tóth, H.,
Fésüs, A.,
Kungler-Gorácz, O.,
Balázs, B.,
Majoros, L.,
Szarka, K.,
Kardos, G.:
Utilization of vector autoregressive and linear transfer models to follow up the antibiotic resistance spiral in Gram-negative bacteria from cephalosporin consumption to colistin resistance.
Clin. Infect. Dis. 69 (8), 1410-1421, 2019.
Bodor, M.:
Bizonyos gyógyszerek hatása az endokrin rendszerre.
In: Az endokrin és anyagcsere-betegségek gyakorlati kézikönyve (2. bővített kiadás). Szerk.: Leövey A., Nagy V. E., Paragh Gy., Rácz K, Medicina Könyvkiadó Zrt., Budapest, 710-713, 2016. ISBN: 9789632266121
Klionsky, D. J.,
Fésüs, L.,
Lekli, I.:
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Autophagy. 12 (1), 1-222, 2016.
Zsuga, J.,
Bíró, K.,
Papp, C.,
Tajti, G.,
Gesztelyi, R.:
The "proactive" model of learning: integrative framework for model-free and model-based reinforcement learning utilizing the associative learning-based proactive brain concept.
Behav. Neurosci. 130 (1), 6-18, 2016.