Andrei E. Tarkhov
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
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- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- П. О. Федичев (6 shared papers)L. I. Men’shikov (4 shared papers)Vadim N. Gladyshev (4 shared papers)Kejun Ying (3 shared papers)Mahdi Moqri (3 shared papers)Andrei V. Gudkov (2 shared papers)Timothy V. Pyrkov (1 shared paper)Steve Horvath (2 shared papers)
- Journals
- Nature Communications (3 papers)Nature Aging (2 papers)Physical review. B. (2 papers)Scientific Reports (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Andrei E. Tarkhov
12 papers receiving 269 citations
Andrei E. Tarkhov's Hit Papers
Peers
Comparison fields: 5 of 84
- Aging 112
- Endocrine and Autonomic Systems 26
- Geriatrics and Gerontology 13
- Neuropsychology and Physiological Psychology 5
- Biological Psychiatry 6
Countries citing papers authored by Andrei E. Tarkhov
This map shows the geographic impact of Andrei E. Tarkhov'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 Andrei E. Tarkhov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei E. Tarkhov more than expected).
Fields of papers citing papers by Andrei E. Tarkhov
This network shows the impact of papers produced by Andrei E. Tarkhov. 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 Andrei E. Tarkhov. The network helps show where Andrei E. Tarkhov may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrei E. Tarkhov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Causality-enriched epigenetic age uncouples damage and adaptation Hit paper breakdown → | 2024 | 72 |
| 2 | 2021 | 51 | |
| 3 | 2019 | 38 | |
| 4 | 2024 | 28 | |
| 5 | 2017 | 24 | |
| 6 | 2024 | 22 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 3 |
About Andrei E. Tarkhov
Andrei E. Tarkhov is a scholar working on Aging, Molecular Biology, Atomic and Molecular Physics, and Optics, Genetics and Condensed Matter Physics, having authored 12 papers that have together received 282 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Epigenetics and DNA Methylation (4 papers), Genetic Associations and Epidemiology (2 papers), Physics of Superconductivity and Magnetism (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Genomics and Chromatin Dynamics (2 papers), Health, Environment, Cognitive Aging (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Aging (112 citations), Endocrine and Autonomic Systems (26 citations), Geriatrics and Gerontology (13 citations), Neuropsychology and Physiological Psychology (5 citations) and Biological Psychiatry (6 citations). Andrei E. Tarkhov has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include П. О. Федичев, L. I. Men’shikov, Vadim N. Gladyshev, Kejun Ying, Mahdi Moqri, Andrei V. Gudkov, Timothy V. Pyrkov, Steve Horvath, Ake T. Lu and Zoltán Kutalik. Their work appears in journals such as Nature Communications, Nature Aging, Physical review. B., Scientific Reports and Journal of Theoretical Biology.
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.