Manu V. Chakravarthy
- Physiology top 1%
- Diet and metabolism studies 7
- Adipose Tissue and Metabolism 6
- Telomeres, Telomerase, and Senescence 5
- Biochemistry top 1%
- Aging top 5%
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- Diabetes Treatment and Management 7
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 15
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- Muscle Physiology and Disorders 9
- Peroxisome Proliferator-Activated Receptors 6
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- Pharmacology and Obesity Treatment 6
- Co-authors
- Frank W. BoothClay F. SemenkovichEspen E. SpangenburgJohn TurkTrey ColemanJochen G. SchneiderMichael J. JoynerLi Yin
- Cited by
- PhysiologyBiochemistryAging
- Journals
- Cell (1 paper)Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Manu V. Chakravarthy
50 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 138
- Physiology 1.6k
- Biochemistry 368
- Aging 81
- Endocrinology, Diabetes and Metabolism 713
- Epidemiology 1.1k
Countries citing papers authored by Manu V. Chakravarthy
This map shows the geographic impact of Manu V. Chakravarthy'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 Manu V. Chakravarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manu V. Chakravarthy more than expected).
Fields of papers citing papers by Manu V. Chakravarthy
This network shows the impact of papers produced by Manu V. Chakravarthy. 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 Manu V. Chakravarthy. The network helps show where Manu V. Chakravarthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manu V. Chakravarthy, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 67 | |
| 6 | 2020 | 68 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2017 | 314 | |
| 11 | 2017 | 15 | |
| 12 | 2011 | 37 | |
| 13 | 2009 | 420 | |
| 14 | 2008 | 39 | |
| 15 | 2007 | 94 | |
| 16 | 2005 | 436 | |
| 17 | 2002 | 17 | |
| 18 | 2002 | 180 | |
| 19 | 2002 | 133 | |
| 20 | 2001 | 19 |
About Manu V. Chakravarthy
Manu V. Chakravarthy is a scholar working on Aging, Physiology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 4.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Muscle Physiology and Disorders (9 papers), Diet and metabolism studies (7 papers), Diabetes Treatment and Management (7 papers), Pharmacology and Obesity Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Adipose Tissue and Metabolism (6 papers) and Telomeres, Telomerase, and Senescence (5 papers). The work is most often cited by research in Physiology (1.6k citations), Biochemistry (368 citations) and Aging (81 citations). Manu V. Chakravarthy has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Frank W. Booth, Clay F. Semenkovich, Espen E. Spangenburg, John Turk, Trey Coleman, Jochen G. Schneider, Michael J. Joyner, Frank W. Booth, Li Yin and Yimin Zhu. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.