Akshay Bareja
Impact in
Papers in
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- Muscle Physiology and Disorders 9
- Metabolism, Diabetes, and Cancer 2
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- Adipose Tissue and Metabolism 6
- Spaceflight effects on biology 2
- Co-authors
- Conrad P. Hodgkinson (5 shared papers)Victor J. Dzau (5 shared papers)José A. Gómez (1 shared paper)David E. Lee (8 shared papers)James P. White (9 shared papers)Rebecca J. Fairclough (2 shared papers)David B. Bartlett (3 shared papers)Andrew N. Billin (2 shared papers)
- Journals
- Nature Metabolism (2 papers)Frontiers in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)Nature Aging (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Akshay Bareja
21 papers receiving 791 citations
Peers
Comparison fields: 5 of 84
- Aging 43
- Genetics 133
- Rehabilitation 64
- Physiology 218
- Molecular Biology 490
Countries citing papers authored by Akshay Bareja
This map shows the geographic impact of Akshay Bareja'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 Akshay Bareja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Bareja more than expected).
Fields of papers citing papers by Akshay Bareja
This network shows the impact of papers produced by Akshay Bareja. 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 Akshay Bareja. The network helps show where Akshay Bareja may publish in the future.
Co-authors
The 25 scholars most cited alongside Akshay Bareja, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 213 | |
| 2 | 2020 | 127 | |
| 3 | 2010 | 75 | |
| 4 | 2014 | 68 | |
| 5 | 2023 | 56 | |
| 6 | 2019 | 48 | |
| 7 | 2011 | 48 | |
| 8 | 2019 | 35 | |
| 9 | 2022 | 28 | |
| 10 | 2013 | 26 | |
| 11 | 2017 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 2 | |
| 18 | Abstract 15731: Hypoxia and Akt Induced Stem Cell Factor Exerts Cardioprotective Effects via Specific Binding to the Insulin-Like Growth Factor-1 Receptor | 2014 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2021 | 1 |
About Akshay Bareja
Akshay Bareja is a scholar working on Molecular Biology, Physiology, Surgery, Aging and Genetics, having authored 21 papers that have together received 798 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Adipose Tissue and Metabolism (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Exercise and Physiological Responses (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Aging (43 citations), Genetics (133 citations), Rehabilitation (64 citations), Physiology (218 citations) and Molecular Biology (490 citations). Akshay Bareja has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Conrad P. Hodgkinson, Victor J. Dzau, José A. Gómez, David E. Lee, James P. White, Rebecca J. Fairclough, David B. Bartlett, Andrew N. Billin, Kay E. Davies and Gurpreet S. Baht. Their work appears in journals such as Nature Metabolism, Frontiers in Cell and Developmental Biology, Nature Communications, Nature Aging and Biochemical Journal.
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.