COVID‐19 is an emergent disease of aging D Santesmasses, JP Castro, AA Zenin, AV Shindyapina, ... Aging cell 19 (10), e13230, 2020 | 205 | 2020 |
Biological age is increased by stress and restored upon recovery JR Poganik, B Zhang, GS Baht, A Tyshkovskiy, A Deik, C Kerepesi, ... Cell Metabolism 35 (5), 807-820. e5, 2023 | 133 | 2023 |
Profiling epigenetic age in single cells A Trapp, C Kerepesi, VN Gladyshev Nature Aging 1 (12), 1189-1201, 2021 | 120 | 2021 |
Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging C Kerepesi, B Zhang, SG Lee, A Trapp, VN Gladyshev Science Advances 7 (26), 2021 | 97 | 2021 |
AmphoraNet: the webserver implementation of the AMPHORA2 metagenomic workflow suite C Kerepesi, D Bánky, V Grolmusz Gene 533 (2), 538-540, 2014 | 94 | 2014 |
Parameterizable consensus connectomes from the human connectome project: the budapest reference connectome server v3. 0 B Szalkai, C Kerepesi, B Varga, V Grolmusz Cognitive neurodynamics 11, 113-116, 2017 | 69 | 2017 |
Prediction and characterization of human ageing-related proteins by using machine learning C Kerepesi, B Daróczy, Á Sturm, T Vellai, A Benczúr Scientific reports 8 (1), 4094, 2018 | 58 | 2018 |
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods A Nyéki, C Kerepesi, B Daróczy, A Benczúr, G Milics, J Nagy, E Harsányi, ... Precision Agriculture 22, 1397-1415, 2021 | 56 | 2021 |
Soda pans of the Pannonian steppe harbor unique bacterial communities adapted to multiple extreme conditions A Szabó, K Korponai, C Kerepesi, B Somogyi, L Vörös, D Bartha, ... Extremophiles 21 (3), 639-649, 2017 | 51 | 2017 |
The budapest reference connectome server v2. 0 B Szalkai, C Kerepesi, B Varga, V Grolmusz Neuroscience Letters 595, 60-62, 2015 | 46 | 2015 |
Multi-omic rejuvenation and lifespan extension on exposure to youthful circulation B Zhang, DE Lee, A Trapp, A Tyshkovskiy, AT Lu, A Bareja, C Kerepesi, ... Nature aging 3 (8), 948-964, 2023 | 43 | 2023 |
How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain C Kerepesi, B Szalkai, B Varga, V Grolmusz PLoS One 11 (6), e0158680, 2016 | 43 | 2016 |
Life without dUTPase C Kerepesi, JE Szabó, V Papp-Kádár, O Dobay, D Szabó, V Grolmusz, ... Frontiers in microbiology 7, 1768, 2016 | 41 | 2016 |
The “Giant Virus Finder” discovers an abundance of giant viruses in the Antarctic dry valleys C Kerepesi, V Grolmusz Archives of virology 162, 1671-1676, 2017 | 40 | 2017 |
The braingraph. org database of high resolution structural connectomes and the brain graph tools C Kerepesi, B Szalkai, B Varga, V Grolmusz Cognitive Neurodynamics 11, 483-486, 2017 | 37 | 2017 |
Epigenetic aging of the demographically non-aging naked mole-rat C Kerepesi, MV Meer, J Ablaeva, VG Amoroso, SG Lee, B Zhang, ... Nature Communications 13 (355), 2022 | 36 | 2022 |
Emerging rejuvenation strategies—Reducing the biological age B Zhang, A Trapp, C Kerepesi, VN Gladyshev Aging Cell 21 (1), e13538, 2022 | 32 | 2022 |
COVID-19 mortality rate in children is U-shaped N Khera, D Santesmasses, C Kerepesi, VN Gladyshev Aging (Albany NY) 13 (16), 19954, 2021 | 32 | 2021 |
High-resolution directed human connectomes and the consensus connectome dynamics B Szalkai, C Kerepesi, B Varga, V Grolmusz PLoS One 14 (4), e0215473, 2019 | 30 | 2019 |
Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain C Kerepesi, B Szalkai, B Varga, V Grolmusz Neuroscience Letters 662, 17-21, 2018 | 28 | 2018 |