Madhu Gupta
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine 6
- Physiology top 2%
- Aging top 5%
- Biochemistry top 2%
- Molecular Biology top 5%
- Signaling Pathways in Disease 7
- RNA Research and Splicing 7
- RNA and protein synthesis mechanisms 5
- Mitochondrial Function and Pathology 5
- Congenital heart defects research 4
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- Cardiac Fibrosis and Remodeling 8
- Cardiomyopathy and Myosin Studies 6
- Co-authors
- Mahesh P. GuptaNagalingam R. SundaresanSenthilkumar B. RajamohanGene KimAyman IsbatanPhilip CoffinoJyothish B. PillaiSadhana Samant
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Madhu Gupta
65 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Geriatrics and Gerontology 792
- Physiology 181
- Aging 64
- Biochemistry 251
- Molecular Biology 1.8k
Countries citing papers authored by Madhu Gupta
This map shows the geographic impact of Madhu Gupta'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 Madhu Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Gupta more than expected).
Fields of papers citing papers by Madhu Gupta
This network shows the impact of papers produced by Madhu Gupta. 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 Madhu Gupta. The network helps show where Madhu Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Madhu Gupta, 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 | 2023 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2020 | 2 | |
| 4 | 2015 | 28 | |
| 5 | 2014 | 1 | |
| 6 | 2014 | 0 | |
| 7 | Sirt3 blocks the cardiac hypertrophic response by augmenting Foxo3a-dependent antioxidant defense mechanisms in micebreakdown → | 2009 | 845 |
| 8 | Abstract 3603: SIRT1, a Stress-responsive Deacetylase is Required for Development of Compensatory Cardiac Hypertrophy | 2009 | 1 |
| 9 | 2008 | 16 | |
| 10 | 2007 | 4 | |
| 11 | 2003 | 103 | |
| 12 | 2003 | 61 | |
| 13 | Role of Purbeta in cardiac hypertrophy, heart failure and alpha-MHC gene regulation | 2002 | 8 |
| 14 | 2001 | 65 | |
| 15 | 2000 | 6 | |
| 16 | 1998 | 1 | |
| 17 | 1998 | 35 | |
| 18 | 1991 | 22 | |
| 19 | 1991 | 17 | |
| 20 | 1988 | 3 |
About Madhu Gupta
Madhu Gupta is a scholar working on Geriatrics and Gerontology, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (8 papers), Signaling Pathways in Disease (7 papers), RNA Research and Splicing (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Sirtuins and Resveratrol in Medicine (6 papers), RNA and protein synthesis mechanisms (5 papers), Mitochondrial Function and Pathology (5 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Geriatrics and Gerontology (792 citations), Physiology (181 citations) and Aging (64 citations). Madhu Gupta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Mahesh P. Gupta, Nagalingam R. Sundaresan, Senthilkumar B. Rajamohan, Gene Kim, Ayman Isbatan, Philip Coffino, Jyothish B. Pillai, Sadhana Samant, Vinodkumar B. Pillai and Francesca Davis.
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.