Krishna G. Aragam
- Genetics top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Pradeep NatarajanAmit V. KheraSekar KathiresanMary E. HaasPatrick T. EllinorMark ChaffinEric S. LanderSteven A. Lubitz
- Topics
- Genetic Associations and Epidemiology (19 papers)Cardiovascular Function and Risk Factors (10 papers)Cardiac Imaging and Diagnostics (6 papers)
- Journals
- CellJAMACirculation
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Krishna G. Aragam
44 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 1.7k
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 685
- Surgery 594
- Public Health, Environmental and Occupational Health 490
Countries citing papers authored by Krishna G. Aragam
This map shows the geographic impact of Krishna G. Aragam'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 Krishna G. Aragam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna G. Aragam more than expected).
Fields of papers citing papers by Krishna G. Aragam
This network shows the impact of papers produced by Krishna G. Aragam. 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 Krishna G. Aragam. The network helps show where Krishna G. Aragam may publish in the future.
Co-authorship network of co-authors of Krishna G. Aragam
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna G. Aragam. A scholar is included among the top collaborators of Krishna G. Aragam 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 Krishna G. Aragam. Krishna G. Aragam 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | A multi-ancestry polygenic risk score improves risk prediction for coronary artery diseasebreakdown → | 98 |
| 7 | 23 | |
| 8 | 32 | |
| 9 | 11 | |
| 10 | 24 | |
| 11 | 129 | |
| 12 | 20 | |
| 13 | 27 | |
| 14 | Abstract 16565: Integration Of A Genome-wide Polygenic Score With ACC/AHA Pooled Cohorts Equation In Prediction Of Coronary Artery Disease Events In >285,000 Participants | 3 |
| 15 | 167 | |
| 16 | 3 | |
| 17 | 172 | |
| 18 | Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthoodbreakdown → | 432 |
| 19 | Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutationsbreakdown → | 1631 |
| 20 | 59 |
About Krishna G. Aragam
Krishna G. Aragam is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Complementary and alternative medicine, having authored 49 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (19 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Genetics (1.7k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Endocrinology, Diabetes and Metabolism (426 citations). Krishna G. Aragam has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Pradeep Natarajan, Amit V. Khera, Sekar Kathiresan, Mary E. Haas, Patrick T. Ellinor, Mark Chaffin, Eric S. Lander, Steven A. Lubitz, Seung Hoan Choi and Carolina Roselli. Their work appears in journals such as Cell, 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.