Aishwarya Vijay
- Cellular and Molecular Neuroscience
- Epidemiology
- Cognitive Neuroscience
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Joseph S. RossEvan D. MorrisJessica E. BeckerNabeel NabulsiSuchitra Krishnan‐SarinYiyun HuangFrederick L. AlticeYon Rojanasakul
- Topics
- Heart Failure Treatment and Management (3 papers)Opioid Use Disorder Treatment (3 papers)Pain Management and Opioid Use (2 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Aishwarya Vijay
27 papers receiving 346 citations
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 81
- Epidemiology 51
- Cognitive Neuroscience 46
- Molecular Biology 43
- Public Health, Environmental and Occupational Health 40
Countries citing papers authored by Aishwarya Vijay
This map shows the geographic impact of Aishwarya Vijay'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 Aishwarya Vijay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aishwarya Vijay more than expected).
Fields of papers citing papers by Aishwarya Vijay
This network shows the impact of papers produced by Aishwarya Vijay. 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 Aishwarya Vijay. The network helps show where Aishwarya Vijay may publish in the future.
Co-authorship network of co-authors of Aishwarya Vijay
This figure shows the co-authorship network connecting the top 25 collaborators of Aishwarya Vijay. A scholar is included among the top collaborators of Aishwarya Vijay 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 Aishwarya Vijay. Aishwarya Vijay 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 44 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 35 | |
| 17 | 36 | |
| 18 | 10 | |
| 19 | 34 | |
| 20 | 20 |
About Aishwarya Vijay
Aishwarya Vijay is a scholar working on Family Practice, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 352 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (3 papers), Opioid Use Disorder Treatment (3 papers) and Pain Management and Opioid Use (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (81 citations), Geriatrics and Gerontology (15 citations) and Biological Psychiatry (8 citations). Aishwarya Vijay has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Joseph S. Ross, Evan D. Morris, Jessica E. Becker, Nabeel Nabulsi, Suchitra Krishnan‐Sarin, Yiyun Huang, Frederick L. Altice, Yon Rojanasakul, Adeeba Kamarulzaman and Qian Liu. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American College 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.