| LUDB: a new open-access validation tool for electrocardiogram delineation algorithms AI Kalyakulina, II Yusipov, VA Moskalenko, AV Nikolskiy, KA Kosonogov, ... IEEE access 8, 186181-186190, 2020 | 110* | 2020 |
| Age-related DNA methylation changes are sex-specific: a comprehensive assessment I Yusipov, MG Bacalini, A Kalyakulina, M Krivonosov, C Pirazzini, ... Aging (Albany NY) 12 (23), 24057, 2020 | 96 | 2020 |
| A meta-analysis of brain DNA methylation across sex, age, and Alzheimer’s disease points for accelerated epigenetic aging in neurodegeneration. C Pellegrini, C Pirazzini, C Sala, L Sambati, I Yusipov, A Kalyakulina, ... Frontiers in Aging Neuroscience 13, 639428, 2021 | 73 | 2021 |
| Neuronal synchronization enhanced by neuron–astrocyte interaction EV Pankratova, AI Kalyakulina, SV Stasenko, SY Gordleeva, ... Nonlinear Dynamics 97, 647-662, 2019 | 62 | 2019 |
| Finding morphology points of electrocardiographic-signal waves using wavelet analysis AI Kalyakulina, II Yusipov, VA Moskalenko, AV Nikolskiy, AA Kozlov, ... Radiophysics and Quantum Electronics 61, 689-703, 2019 | 53 | 2019 |
| Lobachevsky university electrocardiography database A Kalyakulina, I Yusipov, V Moskalenko, A Nikolskiy, K Kosonogov, ... Type: Dataset. Available online: https://physionet. org/content/ludb/1.0. 0 …, 2020 | 39 | 2020 |
| Accelerated epigenetic aging and inflammatory/immunological profile (ipAGE) in patients with chronic kidney disease I Yusipov, E Kondakova, A Kalyakulina, M Krivonosov, N Lobanova, ... Geroscience 44 (2), 817-834, 2022 | 36* | 2022 |
| eXplainable Artificial Intelligence (XAI) in aging clock models A Kalyakulina, I Yusipov, A Moskalev, C Franceschi, M Ivanchenko Ageing Research Reviews 93, 102144, 2024 | 16 | 2024 |
| Environmentally induced amplitude death and firing provocation in large-scale networks of neuronal systems EV Pankratova, AI Kalyakulina Regular and chaotic dynamics 21, 840-848, 2016 | 14 | 2016 |
| Disease classification for whole-blood DNA methylation: Meta-analysis, missing values imputation, and XAI A Kalyakulina, I Yusipov, MG Bacalini, C Franceschi, M Vedunova, ... GigaScience 11, giac097, 2022 | 13 | 2022 |
| Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes RK Verma, A Kalyakulina, C Giuliani, P Shinde, AD Kachhvah, ... Scientific reports 11 (1), 133, 2021 | 12 | 2021 |
| Chemotactic drift speed for bacterial motility pattern with two alternating turning events EV Pankratova, AI Kalyakulina, MI Krivonosov, SV Denisov, KM Taute, ... PloS one 13 (1), e0190434, 2018 | 10 | 2018 |
| Cyberheart-diagnostics software package for automated electrocardiogram analysis based on machine learning techniques VA Moskalenko, AV Nikolskiy, NY Zolotykh, AA Kozlov, KA Kosonogov, ... Современные технологии в медицине 11 (2 (eng)), 86-90, 2019 | 8* | 2019 |
| Small immunological clocks identified by deep learning and gradient boosting A Kalyakulina, I Yusipov, E Kondakova, MG Bacalini, C Franceschi, ... Frontiers in Immunology 14, 1177611, 2023 | 7 | 2023 |
| Role of mitochondrial genetic interactions in determining adaptation to high altitude human population RK Verma, A Kalyakulina, A Mishra, M Ivanchenko, S Jalan Scientific Reports 12 (1), 2046, 2022 | 7 | 2022 |
| Lobachevsky University Electrocardiography Database (version 1.0. 1). PhysioNet A Kalyakulina, I Yusipov, V Moskalenko, A Nikolskiy, K Kosonogov, ... | 7 | 2021 |
| Map of epigenetic age acceleration: a worldwide analysis I Yusipov, A Kalyakulina, A Trukhanov, C Franceschi, M Ivanchenko Ageing Research Reviews, 102418, 2024 | 6* | 2024 |
| Epigenetics of the far northern Yakutian population A Kalyakulina, I Yusipov, E Kondakova, MG Bacalini, C Giuliani, ... Clinical Epigenetics 15 (1), 189, 2023 | 4 | 2023 |
| Investigating mitonuclear genetic interactions through machine learning: A case study on cold adaptation genes in human populations from different european climate regions A Kalyakulina, V Iannuzzi, M Sazzini, P Garagnani, S Jalan, C Franceschi, ... Frontiers in Physiology 11, 575968, 2020 | 4 | 2020 |
| Obtaining Longevity Footprints in DNA Methylation Data Using Different Machine Learning Approaches A Kalyakulina, I Yusipov, M Ivanchenko Artificial Intelligence for Healthy Longevity, 67-89, 2023 | 2 | 2023 |
Igor YusipovLobachevsky State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa itmm.unn.ru
