Rahul Aggarwal
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Rishi K. WadheraRobert W. YehMuthiah VaduganathanJohn W. OstrominskiKaren E. Joynt MaddoxNicholas ChiuDeepak L. BhattFátima Rodríguez
- Topics
- Blood Pressure and Hypertension Studies (11 papers)Healthcare Policy and Management (9 papers)Diabetes Treatment and Management (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Rahul Aggarwal
52 papers receiving 906 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cardiology and Cardiovascular Medicine 335
- Surgery 177
- Endocrinology, Diabetes and Metabolism 163
- Epidemiology 136
- Molecular Biology 102
Countries citing papers authored by Rahul Aggarwal
This map shows the geographic impact of Rahul Aggarwal'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 Rahul Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Aggarwal more than expected).
Fields of papers citing papers by Rahul Aggarwal
This network shows the impact of papers produced by Rahul Aggarwal. 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 Rahul Aggarwal. The network helps show where Rahul Aggarwal may publish in the future.
Co-authorship network of co-authors of Rahul Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Aggarwal. A scholar is included among the top collaborators of Rahul Aggarwal 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 Rahul Aggarwal. Rahul Aggarwal 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | Prevalence of Cardiovascular-Kidney-Metabolic Syndrome Stages in US Adults, 2011-2020breakdown → | 157 |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Cardiovascular Risk Factor Prevalence, Treatment, and Control in US Adults Aged 20 to 44 Years, 2009 to March 2020breakdown → | 145 |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 53 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 4 |
About Rahul Aggarwal
Rahul Aggarwal is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 57 papers that have together received 925 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (11 papers), Healthcare Policy and Management (9 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (335 citations), Endocrinology, Diabetes and Metabolism (163 citations) and Nephrology (60 citations). Rahul Aggarwal has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rishi K. Wadhera, Robert W. Yeh, Muthiah Vaduganathan, John W. Ostrominski, Karen E. Joynt Maddox, Nicholas Chiu, Deepak L. Bhatt, Fátima Rodríguez, Leonard Chiu and Julia Hammond. Their work appears in journals such as JAMA, Circulation and Annals of Internal Medicine.
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.