Konstantin G. Arbeev
- Physiology top 2%
- Geriatrics and Gerontology top 0.2%
- Aging top 0.2%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Svetlana UkraintsevaAlexander M. KulminskiAnatoli I. YashinIgor AkushevichAnatoliy I. YashinIrina CulminskayaKenneth C. LandLucy Akushevich
- Topics
- Genetic Associations and Epidemiology (41 papers)Genetics, Aging, and Longevity in Model Organisms (36 papers)Insurance, Mortality, Demography, Risk Management (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesDenmarkRussia
In The Last Decade
Konstantin G. Arbeev
149 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 140
- Physiology 1.1k
- Geriatrics and Gerontology 925
- Aging 627
- Molecular Biology 525
- Genetics 502
Countries citing papers authored by Konstantin G. Arbeev
This map shows the geographic impact of Konstantin G. Arbeev'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 Konstantin G. Arbeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantin G. Arbeev more than expected).
Fields of papers citing papers by Konstantin G. Arbeev
This network shows the impact of papers produced by Konstantin G. Arbeev. 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 Konstantin G. Arbeev. The network helps show where Konstantin G. Arbeev may publish in the future.
Co-authorship network of co-authors of Konstantin G. Arbeev
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin G. Arbeev. A scholar is included among the top collaborators of Konstantin G. Arbeev 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 Konstantin G. Arbeev. Konstantin G. Arbeev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 20 | |
| 10 | 26 | |
| 11 | 37 | |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 9 | |
| 15 | 56 | |
| 16 | 54 | |
| 17 | 17 | |
| 18 | 99 | |
| 19 | 97 | |
| 20 | 34 |
About Konstantin G. Arbeev
Konstantin G. Arbeev is a scholar working on Aging, Geriatrics and Gerontology and Health, having authored 155 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (41 papers), Genetics, Aging, and Longevity in Model Organisms (36 papers) and Insurance, Mortality, Demography, Risk Management (26 papers). The work is most often cited by research in Aging (627 citations), Geriatrics and Gerontology (925 citations) and Health (445 citations). Konstantin G. Arbeev has collaborated with scholars based in United States, Denmark and Russia. Frequent co-authors include Svetlana Ukraintseva, Alexander M. Kulminski, Anatoli I. Yashin, Igor Akushevich, Anatoliy I. Yashin, Irina Culminskaya, Kenneth C. Land, Lucy Akushevich, Irina Kulminskaya and Liubov Arbeeva. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics 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.