Satvik Mareedu
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
-
- Muscle Physiology and Disorders
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
Papers in
-
- Mitochondrial Function and Pathology 5
- Muscle Physiology and Disorders 5
- Surgery 3
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Gopal J. Babu (7 shared papers)Junichi Sadoshima (5 shared papers)Peiyong Zhai (6 shared papers)Dongsheng Duan (2 shared papers)Chun-Yang Huang (2 shared papers)Jihoon Nah (1 shared paper)Beth Levine (1 shared paper)Álvaro F. Fernández (1 shared paper)
- Journals
- Journal of Molecular and Cellular Cardiology (3 papers)Circulation Research (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Frontiers in Physiology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Satvik Mareedu
13 papers receiving 420 citations
Peers
Comparison fields: 5 of 60
- Physiology 26
- Molecular Biology 295
- Aging 7
- Cell Biology 57
- Cardiology and Cardiovascular Medicine 76
Countries citing papers authored by Satvik Mareedu
This map shows the geographic impact of Satvik Mareedu'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 Satvik Mareedu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satvik Mareedu more than expected).
Fields of papers citing papers by Satvik Mareedu
This network shows the impact of papers produced by Satvik Mareedu. 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 Satvik Mareedu. The network helps show where Satvik Mareedu may publish in the future.
Co-authors
The 25 scholars most cited alongside Satvik Mareedu, 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 | 2020 | 114 | |
| 2 | 2021 | 93 | |
| 3 | 2019 | 69 | |
| 4 | 2023 | 48 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 0 |
About Satvik Mareedu
Satvik Mareedu is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 14 papers that have together received 424 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Muscle Physiology and Disorders (5 papers), Tissue Engineering and Regenerative Medicine (2 papers), Adipose Tissue and Metabolism (2 papers), Genetic Neurodegenerative Diseases (2 papers), Autophagy in Disease and Therapy (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Physiology (26 citations), Molecular Biology (295 citations), Aging (7 citations), Cell Biology (57 citations) and Cardiology and Cardiovascular Medicine (76 citations). Satvik Mareedu has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Gopal J. Babu, Junichi Sadoshima, Peiyong Zhai, Dongsheng Duan, Chun-Yang Huang, Jihoon Nah, Beth Levine, Álvaro F. Fernández, Mingming Tong and Carolyn K. Suzuki. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, American Journal of Physiology-Cell Physiology, Frontiers in Physiology 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.