Jyothi Mula
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Rehabilitation top 1%
- Exercise and Physiological Responses
Papers in
-
- Muscle Physiology and Disorders 11
-
- Nutrition and Health in Aging 6
- Adipose Tissue and Metabolism 3
- Body Composition Measurement Techniques 2
- Co-authors
- Charlotte A. Peterson (12 shared papers)Esther E. Dupont‐Versteegden (5 shared papers)John J. McCarthy (5 shared papers)Christopher S. Fry (8 shared papers)Jonah D. Lee (6 shared papers)Janna R. Jackson (5 shared papers)Tyler J. Kirby (4 shared papers)Kenneth S. Campbell (2 shared papers)
- Journals
- The Journal of Physiology (2 papers)Journal of Applied Physiology (2 papers)Nature Medicine (1 paper)The FASEB Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Jyothi Mula
15 papers receiving 1.6k citations
Jyothi Mula's Hit Papers
Peers
Comparison fields: 5 of 83
- Aging 121
- Rehabilitation 248
- Physiology 550
- Genetics 200
- Molecular Biology 1.2k
Countries citing papers authored by Jyothi Mula
This map shows the geographic impact of Jyothi Mula'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 Jyothi Mula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyothi Mula more than expected).
Fields of papers citing papers by Jyothi Mula
This network shows the impact of papers produced by Jyothi Mula. 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 Jyothi Mula. The network helps show where Jyothi Mula may publish in the future.
Co-authors
The 25 scholars most cited alongside Jyothi Mula, 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 | Effective fiber hypertrophy in satellite cell-depleted skeletal muscle Hit paper breakdown → | 2011 | 497 |
| 2 | 2014 | 340 | |
| 3 | 2016 | 129 | |
| 4 | 2012 | 119 | |
| 5 | 2015 | 116 | |
| 6 | 2014 | 108 | |
| 7 | 2019 | 80 | |
| 8 | 2018 | 63 | |
| 9 | 2012 | 53 | |
| 10 | 2015 | 44 | |
| 11 | 2013 | 32 | |
| 12 | 2015 | 24 | |
| 13 | 2019 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2013 | 1 |
About Jyothi Mula
Jyothi Mula is a scholar working on Molecular Biology, Physiology, Rehabilitation, Cell Biology and Surgery, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Nutrition and Health in Aging (6 papers), Exercise and Physiological Responses (4 papers), Muscle metabolism and nutrition (3 papers), Adipose Tissue and Metabolism (3 papers), Body Composition Measurement Techniques (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Aging (121 citations), Rehabilitation (248 citations), Physiology (550 citations), Genetics (200 citations) and Molecular Biology (1.2k citations). Jyothi Mula has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Charlotte A. Peterson, Esther E. Dupont‐Versteegden, John J. McCarthy, Christopher S. Fry, Jonah D. Lee, Janna R. Jackson, Tyler J. Kirby, Kenneth S. Campbell, Ratchakrit Srikuea and Karyn A. Esser. Their work appears in journals such as The Journal of Physiology, Journal of Applied Physiology, Nature Medicine, The FASEB Journal and Cell Reports.
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.