Alexander Polinsky
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Lipid Membrane Structure and Behavior 2
- Chemical Synthesis and Analysis 2
- Protein purification and stability 1
-
- Neuropeptides and Animal Physiology 2
- Co-authors
- Andrei V. Gudkov (3 shared papers)Olga Chernova (2 shared papers)Murray Goodman (3 shared papers)Brandon M. Hall (1 shared paper)Evguenia Strom (1 shared paper)Ilya Gitlin (1 shared paper)Slavoljub Vujcic (1 shared paper)Vitaly Balan (1 shared paper)
- Journals
- Aging (2 papers)Journal of the American Chemical Society (1 paper)FEBS Letters (1 paper)Biopolymers (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Alexander Polinsky
9 papers receiving 568 citations
Peers
Comparison fields: 5 of 88
- Aging 73
- Physiology 190
- Endocrine and Autonomic Systems 41
- Immunology 119
- Molecular Biology 305
Countries citing papers authored by Alexander Polinsky
This map shows the geographic impact of Alexander Polinsky'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 Polinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Polinsky more than expected).
Fields of papers citing papers by Alexander Polinsky
This network shows the impact of papers produced by Alexander Polinsky. 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 Polinsky. The network helps show where Alexander Polinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Polinsky, 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 | 2016 | 271 | |
| 2 | 2012 | 96 | |
| 3 | 1992 | 60 | |
| 4 | 2014 | 58 | |
| 5 | 1994 | 38 | |
| 6 | 1992 | 31 | |
| 7 | 1991 | 15 | |
| 8 | 1993 | 3 | |
| 9 | 1989 | 2 |
About Alexander Polinsky
Alexander Polinsky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Nutrition and Dietetics and Immunology, having authored 9 papers that have together received 574 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (2 papers), Neuropeptides and Animal Physiology (2 papers), Chemical Synthesis and Analysis (2 papers), Microtubule and mitosis dynamics (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Trace Elements in Health (1 paper), Molecular spectroscopy and chirality (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Aging (73 citations), Physiology (190 citations), Endocrine and Autonomic Systems (41 citations), Immunology (119 citations) and Molecular Biology (305 citations). Alexander Polinsky has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Andrei V. Gudkov, Olga Chernova, Murray Goodman, Brandon M. Hall, Evguenia Strom, Ilya Gitlin, Slavoljub Vujcic, Vitaly Balan, Lauren P. Virtuoso and Elena Rydkina. Their work appears in journals such as Aging, Journal of the American Chemical Society, FEBS Letters, Biopolymers and Journal of Medicinal Chemistry.
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.