Anna Vainshtein
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Aging top 5%
Papers in
- Physiology 14
- Adipose Tissue and Metabolism 13
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- Mitochondrial Function and Pathology 7
- Muscle Physiology and Disorders 4
- Co-authors
- David A. Hood (13 shared papers)Marco Sandri (5 shared papers)Liam D. Tryon (4 shared papers)Marion Pauly (3 shared papers)Michael F. N. O′Leary (3 shared papers)Andrea Armani (2 shared papers)Elior Peles (7 shared papers)Paolo Grumati (3 shared papers)
- Journals
- Journal of Applied Physiology (4 papers)American Journal of Physiology-Cell Physiology (3 papers)eLife (3 papers)Comprehensive physiology (2 papers)Nature Communications (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Anna Vainshtein
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Physiology 759
- Aging 47
- Geriatrics and Gerontology 80
- Rehabilitation 137
- Epidemiology 556
Countries citing papers authored by Anna Vainshtein
This map shows the geographic impact of Anna Vainshtein'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 Anna Vainshtein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Vainshtein more than expected).
Fields of papers citing papers by Anna Vainshtein
This network shows the impact of papers produced by Anna Vainshtein. 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 Anna Vainshtein. The network helps show where Anna Vainshtein may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Vainshtein, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 231 | |
| 2 | 2020 | 151 | |
| 3 | 2015 | 150 | |
| 4 | 2012 | 139 | |
| 5 | 2014 | 122 | |
| 6 | 2016 | 120 | |
| 7 | 2017 | 113 | |
| 8 | 2015 | 101 | |
| 9 | 2012 | 82 | |
| 10 | 2011 | 81 | |
| 11 | 2013 | 73 | |
| 12 | 2019 | 64 | |
| 13 | 2017 | 61 | |
| 14 | 2019 | 50 | |
| 15 | 2020 | 36 | |
| 16 | 2015 | 35 | |
| 17 | 2011 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2012 | 25 | |
| 20 | 2021 | 21 |
About Anna Vainshtein
Anna Vainshtein is a scholar working on Physiology, Molecular Biology, Epidemiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Autophagy in Disease and Therapy (12 papers), Mitochondrial Function and Pathology (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Muscle Physiology and Disorders (4 papers), Cellular Mechanics and Interactions (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Physiology (759 citations), Aging (47 citations), Geriatrics and Gerontology (80 citations), Rehabilitation (137 citations) and Epidemiology (556 citations). Anna Vainshtein has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include David A. Hood, Marco Sandri, Liam D. Tryon, Marion Pauly, Michael F. N. O′Leary, Andrea Armani, Elior Peles, Paolo Grumati, Silvia Carnio and Eric M. Desjardins. Their work appears in journals such as Journal of Applied Physiology, American Journal of Physiology-Cell Physiology, eLife, Comprehensive physiology and Nature Communications.
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.