M. Vinayaga Moorthy
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- I‐Min LeeJulie E. BuringNancy R. CookSamia MoraPaul M. RidkerChristine M. AlbertJoAnn E. MansonShumin M. Zhang
- Topics
- Cardiovascular Function and Risk Factors (8 papers)Lipoproteins and Cardiovascular Health (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCancer ResearchEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
M. Vinayaga Moorthy
46 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 649
- Surgery 310
- Physiology 279
- Public Health, Environmental and Occupational Health 274
- Endocrinology, Diabetes and Metabolism 253
Countries citing papers authored by M. Vinayaga Moorthy
This map shows the geographic impact of M. Vinayaga Moorthy'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 M. Vinayaga Moorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vinayaga Moorthy more than expected).
Fields of papers citing papers by M. Vinayaga Moorthy
This network shows the impact of papers produced by M. Vinayaga Moorthy. 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 M. Vinayaga Moorthy. The network helps show where M. Vinayaga Moorthy may publish in the future.
Co-authorship network of co-authors of M. Vinayaga Moorthy
This figure shows the co-authorship network connecting the top 25 collaborators of M. Vinayaga Moorthy. A scholar is included among the top collaborators of M. Vinayaga Moorthy 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 M. Vinayaga Moorthy. M. Vinayaga Moorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 58 | |
| 6 | 101 | |
| 7 | 30 | |
| 8 | 17 | |
| 9 | 87 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 45 | |
| 13 | 56 | |
| 14 | 43 | |
| 15 | Abstract 18032: Psychological Stressors and Atrial Fibrillation in Middle-Aged and Older Women | 1 |
| 16 | 10 | |
| 17 | 118 | |
| 18 | 27 | |
| 19 | 13 | |
| 20 | 62 |
About M. Vinayaga Moorthy
M. Vinayaga Moorthy is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Lipoproteins and Cardiovascular Health (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (649 citations), Cancer Research (245 citations) and Endocrinology, Diabetes and Metabolism (253 citations). M. Vinayaga Moorthy has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include I‐Min Lee, Julie E. Buring, Nancy R. Cook, Samia Mora, Paul M. Ridker, Christine M. Albert, JoAnn E. Manson, Shumin M. Zhang, Howard D. Sesso and Olga Demler. Their work appears in journals such as New England Journal of Medicine, JAMA 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.