Caitlin T. Yeo
- Surgery
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Co-authors
- Gábor FichtingerTamás UngiAndrás LassóRobert McGrawPaweena U-ThainualBoris ZevinJohn F. RudanAndrew Macdonald
- Topics
- Surgical Simulation and Training (7 papers)Simulation-Based Education in Healthcare (4 papers)Anatomy and Medical Technology (3 papers)
- Journals
- Journal of Bone and Mineral ResearchIEEE Transactions on Biomedical EngineeringThe American Journal of Surgery
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Caitlin T. Yeo
18 papers receiving 285 citations
Peers
Comparison fields: 5 of 72
- Surgery 180
- Biomedical Engineering 89
- Computer Vision and Pattern Recognition 87
- Radiology, Nuclear Medicine and Imaging 44
- Physiology 34
Countries citing papers authored by Caitlin T. Yeo
This map shows the geographic impact of Caitlin T. Yeo'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 Caitlin T. Yeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin T. Yeo more than expected).
Fields of papers citing papers by Caitlin T. Yeo
This network shows the impact of papers produced by Caitlin T. Yeo. 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 Caitlin T. Yeo. The network helps show where Caitlin T. Yeo may publish in the future.
Co-authorship network of co-authors of Caitlin T. Yeo
This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin T. Yeo. A scholar is included among the top collaborators of Caitlin T. Yeo 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 Caitlin T. Yeo. Caitlin T. Yeo 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 31 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 49 | |
| 13 | 29 | |
| 14 | 14 | |
| 15 | 46 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | 59 | |
| 19 | 5 | |
| 20 | Bronchoscopy in immunocompromised host with pulmonary infiltrates. | 3 |
About Caitlin T. Yeo
Caitlin T. Yeo is a scholar working on Nephrology, Surgery and Critical Care and Intensive Care Medicine, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Simulation-Based Education in Healthcare (4 papers) and Anatomy and Medical Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (28 citations), Computer Vision and Pattern Recognition (87 citations) and Surgery (180 citations). Caitlin T. Yeo has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gábor Fichtinger, Tamás Ungi, András Lassó, Robert McGraw, Paweena U-Thainual, Boris Zevin, John F. Rudan, Andrew Macdonald, Sulaiman Nanji and Diederick Jalink. Their work appears in journals such as Journal of Bone and Mineral Research, IEEE Transactions on Biomedical Engineering and The American Journal of Surgery.
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.