Alex Bokov
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 18
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- Circadian rhythm and melatonin 7
- Physiology top 2%
- Adipose Tissue and Metabolism 6
- Biological Psychiatry top 5%
- Geriatrics and Gerontology top 5%
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- Mitochondrial Function and Pathology 7
- Genomics, phytochemicals, and oxidative stress 4
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- Birth, Development, and Health 4
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- Endoplasmic Reticulum Stress and Disease 3
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- Health disparities and outcomes 3
- Co-authors
- Arlan RichardsonAsish R. ChaudhuriViviana PérezHolly Van RemmenYuji IkenoJames MeleQitao RanCharles J. Epstein
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Alex Bokov
35 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Aging 1.0k
- Endocrine and Autonomic Systems 341
- Physiology 1.0k
- Biological Psychiatry 83
- Geriatrics and Gerontology 116
Countries citing papers authored by Alex Bokov
This map shows the geographic impact of Alex Bokov'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 Alex Bokov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Bokov more than expected).
Fields of papers citing papers by Alex Bokov
This network shows the impact of papers produced by Alex Bokov. 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 Alex Bokov. The network helps show where Alex Bokov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Bokov, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2017 | 3 | |
| 4 | 2016 | 33 | |
| 5 | 2015 | 56 | |
| 6 | 2015 | 49 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 16 | |
| 9 | 2014 | 108 | |
| 10 | 2013 | 28 | |
| 11 | 2013 | 219 | |
| 12 | 2012 | 10 | |
| 13 | 2012 | 27 | |
| 14 | 2012 | 7 | |
| 15 | 2011 | 130 | |
| 16 | 2011 | 45 | |
| 17 | 2011 | 60 | |
| 18 | 2009 | 71 | |
| 19 | 2009 | 462 | |
| 20 | 2009 | 24 |
About Alex Bokov
Alex Bokov is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 38 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Mitochondrial Function and Pathology (7 papers), Circadian rhythm and melatonin (7 papers), Adipose Tissue and Metabolism (6 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Birth, Development, and Health (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Aging (1.0k citations), Endocrine and Autonomic Systems (341 citations) and Physiology (1.0k citations). Alex Bokov has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include Arlan Richardson, Asish R. Chaudhuri, Viviana Pérez, Holly Van Remmen, Yuji Ikeno, Arlan Richardson, James Mele, Qitao Ran, Charles J. Epstein and Jan Vijg. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.