Anurika De Silva

27 papers and 445 indexed citations i.

About

Anurika De Silva is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Statistics and Probability. According to data from OpenAlex, Anurika De Silva has authored 27 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 6 papers in Statistics and Probability. Recurrent topics in Anurika De Silva’s work include Cardiac, Anesthesia and Surgical Outcomes (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). Anurika De Silva is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). Anurika De Silva collaborates with scholars based in Australia, United States and Hong Kong. Anurika De Silva's co-authors include Margarita Moreno‐Betancur, J. A. Simpson, Alysha De Livera, Sabine Braat, Jonathan M. Kalman, Sandeep Prabhu, Emily Kotschet, Aleksandr Voskoboinik, Donna Vizi and B. Costello and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and Journal of the American Geriatrics Society.

In The Last Decade

Co-authorship network of co-authors of Anurika De Silva i

Fields of papers citing papers by Anurika De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Anurika De Silva

Since Specialization
Citations

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).

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.

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2025