Anurika De Silva
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Epidemiology
- Pathology and Forensic Medicine
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Margarita Moreno‐BetancurAlysha De LiveraJ. A. SimpsonSabine BraatMichael WongShane NanayakkaraDion StubG. Wong
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (7 papers)Osteoarthritis Treatment and Mechanisms (6 papers)Statistical Methods and Bayesian Inference (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineAnesthesiology and Pain MedicineGeriatrics and Gerontology
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Anurika De Silva
25 papers receiving 507 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 248
- Surgery 96
- Epidemiology 96
- Pathology and Forensic Medicine 63
- Anesthesiology and Pain Medicine 41
Countries citing papers authored by Anurika De Silva
This map shows the geographic impact of Anurika De Silva'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 Anurika De Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anurika De Silva more than expected).
Fields of papers citing papers by Anurika De Silva
This network shows the impact of papers produced by Anurika De Silva. 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 Anurika De Silva. The network helps show where Anurika De Silva may publish in the future.
Co-authorship network of co-authors of Anurika De Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Anurika De Silva. A scholar is included among the top collaborators of Anurika De Silva 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 Anurika De Silva. Anurika De Silva 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 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 21 | |
| 19 | Alcohol Abstinence in Drinkers with Atrial Fibrillationbreakdown → | 244 |
| 20 | 30 |
About Anurika De Silva
Anurika De Silva is a scholar working on Statistics and Probability, Geriatrics and Gerontology and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 522 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (248 citations), Anesthesiology and Pain Medicine (41 citations) and Geriatrics and Gerontology (27 citations). Anurika De Silva has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Margarita Moreno‐Betancur, Alysha De Livera, J. A. Simpson, Sabine Braat, Michael Wong, Shane Nanayakkara, Dion Stub, G. Wong, Hariharan Sugumar and Peter M. Kistler. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología 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.