Andrey A. Parkhitko
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 7
- Geriatrics and Gerontology top 2%
- Cancer Research top 10%
- Physiology top 5%
- Tuberous Sclerosis Complex Research 7
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 2
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- Autophagy in Disease and Therapy 5
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- Polyamine Metabolism and Applications 4
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- Cancer Research and Treatments 3
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- Eosinophilic Disorders and Syndromes 3
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- Circadian rhythm and melatonin 3
- Co-authors
- Norbert PerrimonElizabeth P. HenskeJane YuStephanie E. MohrPatrick JouandinTasha MorrisonChenggang LiJohn M. Asara
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS Genetics (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesRussiaChina
In The Last Decade
Andrey A. Parkhitko
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Aging 117
- Geriatrics and Gerontology 146
- Cancer Research 260
- Physiology 384
- Biochemistry 105
Countries citing papers authored by Andrey A. Parkhitko
This map shows the geographic impact of Andrey A. Parkhitko'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 Andrey A. Parkhitko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey A. Parkhitko more than expected).
Fields of papers citing papers by Andrey A. Parkhitko
This network shows the impact of papers produced by Andrey A. Parkhitko. 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 Andrey A. Parkhitko. The network helps show where Andrey A. Parkhitko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrey A. Parkhitko, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 50 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 49 | |
| 10 | 2019 | 190 | |
| 11 | 2018 | 32 | |
| 12 | 2015 | 132 | |
| 13 | 2014 | 21 | |
| 14 | 2014 | 32 | |
| 15 | 2014 | 45 | |
| 16 | 2013 | 50 | |
| 17 | 2013 | 33 | |
| 18 | 2011 | 154 | |
| 19 | 2010 | 41 | |
| 20 | 2003 | 36 |
About Andrey A. Parkhitko
Andrey A. Parkhitko is a scholar working on Aging, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Autophagy in Disease and Therapy (5 papers), Polyamine Metabolism and Applications (4 papers), Cancer Research and Treatments (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Circadian rhythm and melatonin (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Aging (117 citations), Geriatrics and Gerontology (146 citations) and Cancer Research (260 citations). Andrey A. Parkhitko has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Norbert Perrimon, Elizabeth P. Henske, Jane Yu, Stephanie E. Mohr, Patrick Jouandin, Tasha Morrison, Chenggang Li, John M. Asara, Andrew Y. Choo and George Poulogiannis. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Genetics, Science Advances, Aging Cell and Molecular Cancer Research.
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.