Madhu Gupta
- Molecular Biology top 5%
- Geriatrics and Gerontology top 0.2%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Mahesh P. GuptaNagalingam R. SundaresanSenthilkumar B. RajamohanGene KimAyman IsbatanPhilip CoffinoJyothish B. PillaiSadhana Samant
- Topics
- Cardiac Fibrosis and Remodeling (8 papers)Signaling Pathways in Disease (7 papers)RNA Research and Splicing (7 papers)
- 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
- Molecular Biology 1.8k
- Geriatrics and Gerontology 792
- Physiology 565
- Cardiology and Cardiovascular Medicine 554
- Epidemiology 420
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 of co-authors of Madhu Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Gupta. A scholar is included among the top collaborators of Madhu Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhu Gupta. Madhu Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | Sirt3 blocks the cardiac hypertrophic response by augmenting Foxo3a-dependent antioxidant defense mechanisms in micebreakdown → | 845 |
| 8 | Abstract 3603: SIRT1, a Stress-responsive Deacetylase is Required for Development of Compensatory Cardiac Hypertrophy | 1 |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 103 | |
| 12 | 61 | |
| 13 | Role of Purbeta in cardiac hypertrophy, heart failure and alpha-MHC gene regulation | 8 |
| 14 | 65 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 35 | |
| 18 | 22 | |
| 19 | 17 | |
| 20 | 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) and RNA Research and Splicing (7 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.