Alexander Vaiserman
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 2%
Papers in
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- Epigenetics and DNA Methylation 23
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- Birth, Development, and Health 40
- Co-authors
- Alexander Koliada (40 shared papers)Oleh Lushchak (41 shared papers)Dmytro Krasnienkov (7 shared papers)Francesco Marotta (2 shared papers)Mariana Romanenko (5 shared papers)E. G. Pasyukova (6 shared papers)Kenneth B. Storey (13 shared papers)Mykola Khalangot (14 shared papers)
In The Last Decade
Alexander Vaiserman
133 papers receiving 5.0k citations
Alexander Vaiserman's Hit Papers
Peers
Comparison fields: 5 of 167
- Aging 622
- Biological Psychiatry 175
- Physiology 1.4k
- Geriatrics and Gerontology 140
- Pediatrics, Perinatology and Child Health 618
Countries citing papers authored by Alexander Vaiserman
This map shows the geographic impact of Alexander Vaiserman'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 Alexander Vaiserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Vaiserman more than expected).
Fields of papers citing papers by Alexander Vaiserman
This network shows the impact of papers produced by Alexander Vaiserman. 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 Alexander Vaiserman. The network helps show where Alexander Vaiserman may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Vaiserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association between body mass index and Firmicutes/Bacteroidetes ratio in an adult Ukrainian population Hit paper breakdown → | 2017 | 798 |
| 2 | Gut microbiota: A player in aging and a target for anti-aging intervention Hit paper breakdown → | 2017 | 373 |
| 3 | Telomere Length as a Marker of Biological Age: State-of-the-Art, Open Issues, and Future Perspectives Hit paper breakdown → | 2021 | 288 |
| 4 | 2018 | 167 | |
| 5 | 2020 | 161 | |
| 6 | 2015 | 158 | |
| 7 | 2020 | 151 | |
| 8 | 2014 | 124 | |
| 9 | 2016 | 116 | |
| 10 | 2014 | 99 | |
| 11 | 2018 | 88 | |
| 12 | 2010 | 86 | |
| 13 | 2017 | 82 | |
| 14 | 2015 | 81 | |
| 15 | 2011 | 76 | |
| 16 | 2017 | 70 | |
| 17 | 2021 | 67 | |
| 18 | 2015 | 66 | |
| 19 | 2018 | 64 | |
| 20 | 2017 | 61 |
About Alexander Vaiserman
Alexander Vaiserman is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Aging, Physiology and Genetics, having authored 137 papers that have together received 5.1k indexed citations. Recurring topics across this work include Birth, Development, and Health (40 papers), Genetics, Aging, and Longevity in Model Organisms (39 papers), Epigenetics and DNA Methylation (23 papers), Neurobiology and Insect Physiology Research (8 papers), Circadian rhythm and melatonin (8 papers), Telomeres, Telomerase, and Senescence (8 papers), Effects of Radiation Exposure (8 papers) and Diet and metabolism studies (8 papers). The work is most often cited by research in Aging (622 citations), Biological Psychiatry (175 citations), Physiology (1.4k citations), Geriatrics and Gerontology (140 citations) and Pediatrics, Perinatology and Child Health (618 citations). Alexander Vaiserman has collaborated with scholars based in Ukraine, Canada and Germany. Frequent co-authors include Alexander Koliada, Oleh Lushchak, Dmytro Krasnienkov, Francesco Marotta, Mariana Romanenko, E. G. Pasyukova, Kenneth B. Storey, Mykola Khalangot, A. E. Dorofeyev and S.M. Tkach. Their work appears in journals such as Biogerontology, Ageing Research Reviews, Frontiers in Genetics, BMC Microbiology and Dose-Response.
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.