Ananya Hooda
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Epidemiology
- Co-authors
- Anurag MehtaLaurence SperlingDevinder S. DhindsaArshed A. QuyyumiYi‐An KoShivang DesaiAyman AlkhoderChang Liu
- Topics
- Lipoproteins and Cardiovascular Health (4 papers)Acute Myocardial Infarction Research (3 papers)Cardiovascular Disease and Adiposity (2 papers)
- Journals
- Journal of the American College of CardiologyArteriosclerosis Thrombosis and Vascular BiologyThe American Journal of Cardiology
- Partner nations
- United StatesIndia
In The Last Decade
Ananya Hooda
11 papers receiving 326 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Surgery 181
- Endocrinology, Diabetes and Metabolism 111
- Cardiology and Cardiovascular Medicine 110
- Cancer Research 49
- Epidemiology 36
Countries citing papers authored by Ananya Hooda
This map shows the geographic impact of Ananya Hooda'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 Ananya Hooda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananya Hooda more than expected).
Fields of papers citing papers by Ananya Hooda
This network shows the impact of papers produced by Ananya Hooda. 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 Ananya Hooda. The network helps show where Ananya Hooda may publish in the future.
Co-authorship network of co-authors of Ananya Hooda
This figure shows the co-authorship network connecting the top 25 collaborators of Ananya Hooda. A scholar is included among the top collaborators of Ananya Hooda 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 Ananya Hooda. Ananya Hooda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 87 | |
| 4 | 3 | |
| 5 | Association Between High-Density Lipoprotein Cholesterol Levels and Adverse Cardiovascular Outcomes in High-risk Populationsbreakdown → | 150 |
| 6 | 10 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 34 | |
| 11 | 5 | |
| 12 | Operative versus Non operative treatment of displaced intraarticular fracture of calcaneum: a meta-analysis of randomized controlled trials. | 7 |
About Ananya Hooda
Ananya Hooda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Cancer Research, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Acute Myocardial Infarction Research (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (111 citations), Cardiology and Cardiovascular Medicine (110 citations) and Surgery (181 citations). Ananya Hooda has collaborated with scholars based in United States and India. Frequent co-authors include Anurag Mehta, Laurence Sperling, Devinder S. Dhindsa, Arshed A. Quyyumi, Yi‐An Ko, Shivang Desai, Ayman Alkhoder, Chang Liu, Zakaria Almuwaqqat and Mohamad Wehbe. Their work appears in journals such as Journal of the American College of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology and The American Journal of Cardiology.
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.