Akshay Bareja

1.2k citations
22 papers · 832 · h-index 13

Impact in

Papers in

    • Muscle Physiology and Disorders 9
    • Congenital heart defects research 2
    • Metabolism, Diabetes, and Cancer 2
    • Adipose Tissue and Metabolism 6

Akshay Bareja

22 papers receiving 825 citations

Peers

Akshay Bareja
Comparison fields: 5 of 83
  • Aging 43
  • Genetics 120
  • Rehabilitation 55
  • Physiology 210
  • Molecular Biology 482
Replace Marie‐Claude Sincennes with:
Marie‐Claude Sincennes Canada
Robert W. Arpke United States
Valeria Morbidoni Italy
Yefei Wen United States
Sophie Liot France
James S. Novak United States
Sajedah M. Hindi United States
Lorenzo Giordani France
Viola F. Gnocchi United Kingdom
Valentina Saccone Italy
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Citations per field
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Marie‐Claude Sincennes · 1×
Citations per year

Countries citing papers authored by Akshay Bareja

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Akshay Bareja Line = papers co-authored together Akshay Bareja links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016216
2 2020137
3 201078
4 201468
5 202361
6 201949
7 201148
8 201935
9 202235
10 201327
11 201714
12 202214
13 201813
14 202111
15 201810
16 20219
17 20202
18 20251
19 20251
20 20211

About Akshay Bareja

Akshay Bareja is a scholar working on Molecular Biology, Physiology, Surgery, Aging and Genetics, having authored 22 papers that have together received 832 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), Tissue Engineering and Regenerative Medicine (3 papers), Mesenchymal stem cell research (3 papers), Exercise and Physiological Responses (3 papers), Congenital heart defects research (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Aging (43 citations), Genetics (120 citations), Rehabilitation (55 citations), Physiology (210 citations) and Molecular Biology (482 citations). Akshay Bareja has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Victor J. Dzau, Conrad P. Hodgkinson, José A. Gómez, David E. Lee, James P. White, Rebecca J. Fairclough, David B. Bartlett, Andrew N. Billin, Gurpreet S. Baht and Kay E. Davies. Their work appears in journals such as Nature Metabolism, Nature Communications, Clinical Chemistry, PLoS ONE and Frontiers in Cell and Developmental Biology.

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.

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