| Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities F Galkin, P Mamoshina, A Aliper, JP de Magalhães, VN Gladyshev, ... Ageing Research Reviews 60, 101050, 2020 | 128 | 2020 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... Iscience 23 (6), 2020 | 104 | 2020 |
| DeepMAge: a methylation aging clock developed with deep learning F Galkin, P Mamoshina, K Kochetov, D Sidorenko, A Zhavoronkov Aging and disease 12 (5), 1252, 2021 | 81 | 2021 |
| Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects F Galkin, A Aliper, E Putin, I Kuznetsov, VN Gladyshev, A Zhavoronkov BioRxiv, 507780, 2018 | 78 | 2018 |
| Reversibility of irreversible aging F Galkin, B Zhang, SE Dmitriev, VN Gladyshev Ageing research reviews 49, 104-114, 2019 | 45 | 2019 |
| Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults F Galkin, K Kochetov, D Koldasbayeva, M Faria, HH Fung, AX Chen, ... Aging (Albany NY) 14 (18), 7206, 2022 | 21 | 2022 |
| Increased pace of aging in COVID-related mortality F Galkin, A Parish, E Bischof, J Zhang, P Mamoshina, A Zhavoronkov Life 11 (8), 730, 2021 | 13 | 2021 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning. iScience. 2020; 23: 101199 F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... DOI PubMed PMC, 2020 | 13 | 2020 |
| Stress, diet, exercise: common environmental factors and their impact on epigenetic age F Galkin, O Kovalchuk, D Koldasbayeva, A Zhavoronkov, E Bischof Ageing Research Reviews, 101956, 2023 | 10 | 2023 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning. iScience 23 F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... Article, 2020 | 9 | 2020 |
| Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability F Galkin, K Kochetov, M Keller, A Zhavoronkov, N Etcoff Aging (Albany NY) 14 (12), 4935, 2022 | 8 | 2022 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning. iScience 23 (6): 101199 F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... Advance online publication. doi 10, 2020 | 8 | 2020 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning. iScience 23: 101199 F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... | 8 | 2020 |
| COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity V Naumov, E Putin, S Pushkov, E Kozlova, K Romantsov, A Kalashnikov, ... PLoS Computational Biology 17 (7), e1009183, 2021 | 7 | 2021 |
| Methylation data signatures of aging and methods of determining a methylation aging clock F Galkin, KS Kochetov, P Mamoshina, A Zavoronkovs US Patent App. 17/479,892, 2022 | 6 | 2022 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning. Iscience. 2020; 23 (6): 101199 F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev | 5 | |
| Aging markers of human microbiome and microbiomic aging clock AM Aliper, F Galkin, A Zavoronkovs | 4 | 2020 |
| Adapting Blood DNA Methylation Aging Clocks for Use in Saliva Samples With Cell-type Deconvolution F Galkin, K Kochetov, P Mamoshina, A Zhavoronkov Frontiers in Aging 2, 697254, 2021 | 3 | 2021 |
| AI in Longevity F Galkin, A Zhavoronkov Artificial Intelligence for Healthy Longevity, 3-13, 2023 | 1 | 2023 |
| Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT L Guan, CSL Tuttle, F Galkin, A Zhavoronkov, AB Maier Experimental Gerontology 190, 112421, 2024 | | 2024 |
Alex Zhavoronkov (Aleksandrs Zavoro...Insilico MedicineVerified email at insilico.com
