Tea Shavlakadze
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 3
- Physiology top 2%
- Nutrition and Health in Aging 8
- Adipose Tissue and Metabolism 7
- Geriatrics and Gerontology top 5%
- Molecular Biology top 5%
- Muscle Physiology and Disorders 23
- Mitochondrial Function and Pathology 2
- Rehabilitation top 5%
- Exercise and Physiological Responses 4
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- Muscle metabolism and nutrition 11
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- Muscle activation and electromyography studies 3
- Co-authors
- Miranda D. GroundsDavid J. GlassHannah G. Radley‐CrabbWeihua ZhouAvan Aihie SayerMelody K. MorrisGuglielmo RomaSiân Robinson
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Molecular and Cellular Biology (2 papers)Cell Metabolism (1 paper)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Tea Shavlakadze
39 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 272
- Physiology 944
- Geriatrics and Gerontology 100
- Molecular Biology 1.3k
- Rehabilitation 130
Countries citing papers authored by Tea Shavlakadze
This map shows the geographic impact of Tea Shavlakadze'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 Tea Shavlakadze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tea Shavlakadze more than expected).
Fields of papers citing papers by Tea Shavlakadze
This network shows the impact of papers produced by Tea Shavlakadze. 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 Tea Shavlakadze. The network helps show where Tea Shavlakadze may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tea Shavlakadze, 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 | 2026 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2023 | 35 | |
| 4 | 2023 | 26 | |
| 5 | 2021 | 8 | |
| 6 | 2019 | 106 | |
| 7 | 2018 | 11 | |
| 8 | 2016 | 52 | |
| 9 | 2016 | 34 | |
| 10 | 2016 | 92 | |
| 11 | 2016 | 27 | |
| 12 | 2015 | 51 | |
| 13 | 2014 | 71 | |
| 14 | 2014 | 69 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 22 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 137 | |
| 19 | 2013 | 18 | |
| 20 | 2012 | 134 |
About Tea Shavlakadze
Tea Shavlakadze is a scholar working on Aging, Cell Biology and Rehabilitation, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (23 papers), Muscle metabolism and nutrition (11 papers), Nutrition and Health in Aging (8 papers), Adipose Tissue and Metabolism (7 papers), Exercise and Physiological Responses (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Muscle activation and electromyography studies (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (272 citations), Physiology (944 citations) and Geriatrics and Gerontology (100 citations). Tea Shavlakadze has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Miranda D. Grounds, David J. Glass, Hannah G. Radley‐Crabb, Weihua Zhou, Avan Aihie Sayer, Melody K. Morris, Guglielmo Roma, Siân Robinson, Cyrus Cooper and Harnish P. Patel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cell Metabolism.
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.