Fedor Galkin

925 total citations
17 papers, 498 citations indexed

About

Fedor Galkin is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Fedor Galkin has authored 17 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Fedor Galkin's work include Frailty in Older Adults (3 papers), Epigenetics and DNA Methylation (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Fedor Galkin is often cited by papers focused on Frailty in Older Adults (3 papers), Epigenetics and DNA Methylation (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Fedor Galkin collaborates with scholars based in United States, Hong Kong and United Kingdom. Fedor Galkin's co-authors include Alex Zhavoronkov, Polina Mamoshina, Vadim N. Gladyshev, Alex Aliper, Kirill Kochetov, João Pedro de Magalhães, Evgeny Putin, Evelyne Bischof, Olga Kovalchuk and Bohan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ageing Research Reviews and Experimental Gerontology.

In The Last Decade

Fedor Galkin

16 papers receiving 476 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fedor Galkin United States 8 259 144 117 65 41 17 498
Kirill Kochetov United States 6 144 0.6× 69 0.5× 78 0.7× 72 1.1× 25 0.6× 8 345
Sara Ahadi United States 9 228 0.9× 132 0.9× 53 0.5× 45 0.7× 13 0.3× 12 467
Melanie Ashland United States 7 152 0.6× 112 0.8× 49 0.4× 34 0.5× 74 1.8× 11 439
Michael Rae United Kingdom 7 90 0.3× 123 0.9× 80 0.7× 24 0.4× 17 0.4× 8 464
Francesca Marchegiani Italy 7 202 0.8× 182 1.3× 231 2.0× 18 0.3× 116 2.8× 8 597
C. Maubaret United Kingdom 13 239 0.9× 308 2.1× 83 0.7× 13 0.2× 43 1.0× 19 618
Anastasia Gurinovich United States 10 148 0.6× 139 1.0× 150 1.3× 22 0.3× 42 1.0× 25 371
Olivia Bagley United States 10 96 0.4× 125 0.9× 63 0.5× 29 0.4× 28 0.7× 24 312
Erin Joyce United States 6 214 0.8× 163 1.1× 348 3.0× 27 0.4× 171 4.2× 7 657
Monika Avina United States 2 104 0.4× 79 0.5× 48 0.4× 33 0.5× 8 0.2× 2 254

Countries citing papers authored by Fedor Galkin

Since Specialization
Citations

This map shows the geographic impact of Fedor Galkin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fedor Galkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fedor Galkin more than expected).

Fields of papers citing papers by Fedor Galkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fedor Galkin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fedor Galkin. The network helps show where Fedor Galkin may publish in the future.

Co-authorship network of co-authors of Fedor Galkin

This figure shows the co-authorship network connecting the top 25 collaborators of Fedor Galkin. A scholar is included among the top collaborators of Fedor Galkin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fedor Galkin. Fedor Galkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Galkin, Fedor, Shan Chen, Alexander Aliper, Alex Zhavoronkov, & Feng Ren. (2025). AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging. Aging. 17(8). 1999–2014. 2 indexed citations
2.
Galkin, Fedor, Feng Ren, & Alex Zhavoronkov. (2025). LLMs and AI Life Models for Traditional Chinese Medicine-derived Geroprotector Formulation. Aging and Disease. 17(2). 1155–1168. 1 indexed citations
3.
4.
Galkin, Fedor, Fadi E. Pulous, Yanyun Fu, et al.. (2024). Roles of hypoxia-inducible factor-prolyl hydroxylases in aging and disease. Ageing Research Reviews. 102. 102551–102551. 2 indexed citations
5.
Guan, Lihuan, Camilla S.L. Tuttle, Fedor Galkin, Alex Zhavoronkov, & Andrea B. Maier. (2024). Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT. Experimental Gerontology. 190. 112421–112421. 2 indexed citations
6.
Ganz, Ariel B., et al.. (2024). Psychogenic Aging: A Novel Prospect to Integrate Psychobiological Hallmarks of Aging. Translational Psychiatry. 14(1). 226–226. 6 indexed citations
7.
Galkin, Fedor, et al.. (2023). Stress, diet, exercise: Common environmental factors and their impact on epigenetic age. Ageing Research Reviews. 88. 101956–101956. 52 indexed citations
8.
Galkin, Fedor, et al.. (2022). Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults. Aging. 14(18). 7206–7222. 31 indexed citations
9.
Galkin, Fedor, Kirill Kochetov, Michelle S. Keller, Alex Zhavoronkov, & Nancy L. Etcoff. (2022). Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability. Aging. 14(12). 4935–4958. 7 indexed citations
10.
Galkin, Fedor, Kirill Kochetov, Polina Mamoshina, & Alex Zhavoronkov. (2021). Adapting Blood DNA Methylation Aging Clocks for Use in Saliva Samples With Cell-type Deconvolution. SHILAP Revista de lepidopterología. 2. 697254–697254. 4 indexed citations
11.
Galkin, Fedor, et al.. (2021). DeepMAge: A Methylation Aging Clock Developed with Deep Learning. Aging and Disease. 12(5). 1252–1252. 84 indexed citations
12.
Galkin, Fedor, et al.. (2021). Increased Pace of Aging in COVID-Related Mortality. Life. 11(8). 730–730. 8 indexed citations
13.
Galkin, Fedor, Polina Mamoshina, Alex Aliper, et al.. (2020). Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning. iScience. 23(6). 101199–101199. 135 indexed citations
14.
Galkin, Fedor, Polina Mamoshina, Alex Aliper, et al.. (2020). Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities. Ageing Research Reviews. 60. 101050–101050. 122 indexed citations
15.
Pevzner, Irina B., Ljubava D. Zorova, Fedor Galkin, Egor Y. Plotnikov, & Dmitry B. Zorov. (2019). Mitochondria-Associated Matrix Metalloproteinases 2 and 9 in Acute Renal Pathologies. Bulletin of Experimental Biology and Medicine. 166(3). 334–338. 5 indexed citations
16.
Galkin, Fedor, Bohan Zhang, Sergey E. Dmitriev, & Vadim N. Gladyshev. (2018). Reversibility of irreversible aging. Ageing Research Reviews. 49. 104–114. 34 indexed citations
17.
Galkin, Fedor, et al.. (2017). Localization of vascular endothelial growth factor and transforming growth factor-β in tissues in perifractural zone after fractures of long bones of limbs in humans. ORTHOPAEDICS TRAUMATOLOGY and PROSTHETICS. 0(2). 62–69. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026