Ranil Sonnadara

2.1k total citations
65 papers, 1.5k citations indexed

About

Ranil Sonnadara is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Cognitive Neuroscience. According to data from OpenAlex, Ranil Sonnadara has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Public Health, Environmental and Occupational Health, 17 papers in Surgery and 12 papers in Cognitive Neuroscience. Recurrent topics in Ranil Sonnadara's work include Innovations in Medical Education (29 papers), Surgical Simulation and Training (17 papers) and Diversity and Career in Medicine (10 papers). Ranil Sonnadara is often cited by papers focused on Innovations in Medical Education (29 papers), Surgical Simulation and Training (17 papers) and Diversity and Career in Medicine (10 papers). Ranil Sonnadara collaborates with scholars based in Canada, United States and United Kingdom. Ranil Sonnadara's co-authors include Laurel J. Trainor, Peter C. Ferguson, William J. Kraemer, Oleg Safir, Benjamin A. Alman, Markku Nousiainen, Sydney McQueen, Richard K. Reznick, Anita Acai and Claude Alain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Ranil Sonnadara

63 papers receiving 1.4k citations

Peers

Ranil Sonnadara

PHEOH

SURGE

PHYSI

Lawrence Grierson Canada

Donald A. Risucci United States

Lisa E. Ishii United States

Leif Hedman Sweden

Berit Εika Denmark

Douglas P. Larsen United States

Jamie Poolton Hong Kong

Pramudith Sirimanna United Kingdom

Michael O’Brien United States

Robert Heard Australia

Lawrence Grierson Canada

Ranil Sonnadara

660 ×1.1

PHEOH

219 ×0.4

SURGE

660 ×2.0

81 ×0.5

423 ×2.5

PHYSI

Citations per year, relative to Ranil Sonnadara Ranil Sonnadara (= 1×) peers Lawrence Grierson

Countries citing papers authored by Ranil Sonnadara

Since Specialization

Citations

This map shows the geographic impact of Ranil Sonnadara'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 Ranil Sonnadara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranil Sonnadara more than expected).

Fields of papers citing papers by Ranil Sonnadara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranil Sonnadara. 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 Ranil Sonnadara. The network helps show where Ranil Sonnadara may publish in the future.

Co-authorship network of co-authors of Ranil Sonnadara

This figure shows the co-authorship network connecting the top 25 collaborators of Ranil Sonnadara. A scholar is included among the top collaborators of Ranil Sonnadara 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 Ranil Sonnadara. Ranil Sonnadara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Staibano, Phillip, Jason W. Busse, Goran Calic, et al.. (2025). Creativity research in medicine and nursing: A scoping review. PLoS ONE. 20(1). e0317209–e0317209. 1 indexed citations

McKechnie, Tyler, et al.. (2024). Investigation of divergent thinking among surgeons and surgeon trainees in Canada (IDEAS): a mixed-methods study. BMJ Open. 14(3). e081367–e081367. 1 indexed citations

Bernard, J, et al.. (2023). Automated grading of anatomical objective structured practical examinations using decision trees: An artificial intelligence approach. Anatomical Sciences Education. 17(5). 967–978. 2 indexed citations

Busse, Jason W., et al.. (2023). Investigating divergent thinking and creative ability in surgeons (IDEAS): a survey protocol. BMJ Open. 13(4). e069873–e069873. 2 indexed citations

Dhindsa, Kiret, et al.. (2020). LFSpy: A Python Implementation of Local Feature Selection for Data Classification with scikit-learn Compatibility. The Journal of Open Source Software. 5(49). 1958–1958. 1 indexed citations

Dhindsa, Kiret, et al.. (2020). On the time-course of functional connectivity: theory of a dynamic progression of concussion effects. Brain Communications. 2(2). fcaa063–fcaa063. 11 indexed citations

Wagner, Natalie, et al.. (2020). Recent evidence on visual-spatial ability in surgical education: A scoping review. SHILAP Revista de lepidopterología. 11(6). e111–e127. 13 indexed citations

Fahim, Christine, Anita Acai, Meghan McConnell, et al.. (2020). Use of the theoretical domains framework and behaviour change wheel to develop a novel intervention to improve the quality of multidisciplinary cancer conference decision-making. BMC Health Services Research. 20(1). 578–578. 25 indexed citations

Dhindsa, Kiret, et al.. (2020). Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Toward a Clinical Adjunct. Frontiers in Pediatrics. 8. 1–1. 113 indexed citations

10.

Connolly, John F., J.P. Reilly, Alison Fox‐Robichaud, et al.. (2019). Development of a point of care system for automated coma prognosis: a prospective cohort study protocol. BMJ Open. 9(7). e029621–e029621. 5 indexed citations

11.

Dhindsa, Kiret, Anita Acai, Natalie Wagner, et al.. (2019). Individualized pattern recognition for detecting mind wandering from EEG during live lectures. PLoS ONE. 14(9). e0222276–e0222276. 33 indexed citations

12.

Dhindsa, Kiret, Ranil Sonnadara, Reza Samavi, et al.. (2019). From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(7). 1492–1501. 20 indexed citations

13.

McQueen, Sydney, et al.. (2019). Video-Based Assessment in Surgical Education: A Scoping Review. Journal of surgical education. 76(6). 1645–1654. 39 indexed citations

14.

Acai, Anita, Ranil Sonnadara, & Tom O’Neill. (2018). Getting with the times: a narrative review of the literature on group decision making in virtual environments and implications for promotions committees. Perspectives on Medical Education. 7(3). 147–155. 23 indexed citations

15.

Harvey, David T., et al.. (2017). Evaluation of a physiatrist-directed prehabilitation intervention in frail patients with colorectal cancer: a randomised pilot study protocol. BMJ Open. 7(6). e015565–e015565. 5 indexed citations

16.

Fahim, Christine, Mohit Bhandari, Ilun Yang, & Ranil Sonnadara. (2016). Development and Early Piloting of a CanMEDS Competency-Based Feedback Tool for Surgical Grand Rounds. Journal of surgical education. 73(3). 409–415. 9 indexed citations

17.

Eskicioglu, Cagla, Shawn Forbes, Scott Tsai, et al.. (2016). Collaborative Case Conferences in Rectal Cancer: Case Series in a Tertiary Care Centre. Current Oncology. 23(2). 138–143. 2 indexed citations

18.

Sonnadara, Ranil, et al.. (2011). A novel multimodal platform for assessing surgical technical skills. The American Journal of Surgery. 203(1). 32–36. 8 indexed citations

19.

Sonnadara, Ranil, David A. Gonzalez, Steve Hansen, Digby Elliott, & James Lyons. (2009). Spatial Properties of Perceived Pitch. Annals of the New York Academy of Sciences. 1169(1). 503–507. 7 indexed citations

20.

Trainor, Laurel J., et al.. (2003). Changes in auditory cortex and the development of mismatch negativity between 2 and 6 months of age. International Journal of Psychophysiology. 51(1). 5–15. 115 indexed citations

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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