Rajesh Movva
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cancer Research
- Co-authors
- Daniel J. RaderLeAnne T. BloedonRichard L. DunbarDanielle DuffyMohamad NavabAlan M. FogelmanD J RaderVincent M. Figueredo
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Lipoproteins and Cardiovascular Health (5 papers)Cardiac Valve Diseases and Treatments (2 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineCancer Research
- Journals
- Journal of the American College of CardiologyArteriosclerosis Thrombosis and Vascular BiologyJournal of Lipid Research
- Partner nations
- United StatesJapanCanada
In The Last Decade
Rajesh Movva
14 papers receiving 708 citations
Peers
Comparison fields: 5 of 77
- Surgery 362
- Endocrinology, Diabetes and Metabolism 294
- Cardiology and Cardiovascular Medicine 203
- Molecular Biology 154
- Cancer Research 133
Countries citing papers authored by Rajesh Movva
This map shows the geographic impact of Rajesh Movva'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 Rajesh Movva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Movva more than expected).
Fields of papers citing papers by Rajesh Movva
This network shows the impact of papers produced by Rajesh Movva. 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 Rajesh Movva. The network helps show where Rajesh Movva may publish in the future.
Co-authorship network of co-authors of Rajesh Movva
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Movva. A scholar is included among the top collaborators of Rajesh Movva 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 Rajesh Movva. Rajesh Movva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 25 | |
| 3 | 64 | |
| 4 | 25 | |
| 5 | Anakinra for myocarditis in juvenile idiopathic arthritis. | 11 |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Evaluación de la heterogeneidad y función de HDL por el laboratorio | 1 |
| 10 | 3 | |
| 11 | 58 | |
| 12 | 152 | |
| 13 | 250 | |
| 14 | 30 |
About Rajesh Movva
Rajesh Movva is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 14 papers that have together received 725 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (294 citations), Cardiology and Cardiovascular Medicine (203 citations) and Cancer Research (133 citations). Rajesh Movva has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Daniel J. Rader, LeAnne T. Bloedon, Richard L. Dunbar, Danielle Duffy, Mohamad Navab, Alan M. Fogelman, D J Rader, Vincent M. Figueredo, R. P. Norris and Gregg S. Pressman. Their work appears in journals such as Journal of the American College of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.
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.