Caitlin T. Yeo

448 total citations
20 papers, 291 citations indexed

About

Caitlin T. Yeo is a scholar working on Surgery, Oncology and Physiology. According to data from OpenAlex, Caitlin T. Yeo has authored 20 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 4 papers in Oncology and 4 papers in Physiology. Recurrent topics in Caitlin T. Yeo's work include Surgical Simulation and Training (7 papers), Simulation-Based Education in Healthcare (4 papers) and Anatomy and Medical Technology (3 papers). Caitlin T. Yeo is often cited by papers focused on Surgical Simulation and Training (7 papers), Simulation-Based Education in Healthcare (4 papers) and Anatomy and Medical Technology (3 papers). Caitlin T. Yeo collaborates with scholars based in Canada, United States and France. Caitlin T. Yeo's co-authors include Gábor Fichtinger, Tamás Ungi, András Lassó, Robert McGraw, Paweena U-Thainual, Boris Zevin, Sulaiman Nanji, John F. Rudan, Andrew Macdonald and C. Jay Engel and has published in prestigious journals such as Journal of Bone and Mineral Research, IEEE Transactions on Biomedical Engineering and The American Journal of Surgery.

In The Last Decade

Caitlin T. Yeo

18 papers receiving 285 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caitlin T. Yeo Canada 9 180 89 87 44 34 20 291
Evangelos Georgiou Greece 9 194 1.1× 110 1.2× 58 0.7× 34 0.8× 34 1.0× 18 378
Anna-Laura Wekerle Germany 11 270 1.5× 95 1.1× 90 1.0× 23 0.5× 44 1.3× 15 390
Dongheon Lee South Korea 11 128 0.7× 89 1.0× 64 0.7× 137 3.1× 34 1.0× 27 397
Didier Mutter France 10 305 1.7× 160 1.8× 120 1.4× 58 1.3× 13 0.4× 21 471
Davit L. Aghayan Norway 15 310 1.7× 93 1.0× 115 1.3× 33 0.8× 6 0.2× 36 547
Karen E. Burtt United States 6 224 1.2× 143 1.6× 66 0.8× 67 1.5× 58 1.7× 13 368
Chengzhong Peng China 13 194 1.1× 88 1.0× 14 0.2× 89 2.0× 10 0.3× 40 453
Alina Zubarevich Germany 10 254 1.4× 139 1.6× 28 0.3× 19 0.4× 19 0.6× 62 389
Jeffrey S. Nine United States 7 106 0.6× 59 0.7× 93 1.1× 17 0.4× 66 1.9× 9 356
Yuta Hiasa Japan 9 111 0.6× 119 1.3× 71 0.8× 79 1.8× 14 0.4× 15 282

Countries citing papers authored by Caitlin T. Yeo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Craig, Steven J., Cynthia Stretch, Caitlin T. Yeo, et al.. (2024). Prognostication with Thyroid GuidePx in the context of tall cell variants. Surgery. 177. 108882–108882.
2.
Iannuzzi, Jordan, Caitlin T. Yeo, Dean Ruether, et al.. (2024). Radiation Exposure from GEP NET Surveillance. Cancers. 16(2). 427–427.
4.
Yeo, Caitlin T., et al.. (2022). The adoption of the endoscopic retroperitoneal approach to the adrenal gland - Conversion factors and learning points. The American Journal of Surgery. 224(2). 703–709. 4 indexed citations
5.
Yeo, Caitlin T. & Shaila J. Merchant. (2021). Considerations in the Management of Malignant Bowel Obstruction. Surgical Oncology Clinics of North America. 30(3). 461–474. 4 indexed citations
6.
Pasieka, Janice L., Kelly L. Wentworth, Caitlin T. Yeo, et al.. (2020). Etiology and Pathophysiology of Hypoparathyroidism: A Narrative Review. Journal of Bone and Mineral Research. 37(12). 2586–2601. 31 indexed citations
7.
Yeo, Caitlin T., et al.. (2020). The value of dynamic surgeon-directed imaging in the preoperative planning of patients with primary hyperparathyroidism. Surgery. 169(3). 519–523. 5 indexed citations
8.
Yeo, Caitlin T., Tamás Ungi, Shaila J. Merchant, et al.. (2019). Real‐time electromagnetic navigation for breast‐conserving surgery using NaviKnife technology: A matched case‐control study. The Breast Journal. 26(3). 399–405. 10 indexed citations
9.
Paulin, Gregory, et al.. (2018). HoloLens in suturing training. 69–69. 11 indexed citations
10.
Yeo, Caitlin T., et al.. (2018). Surgery Tutor for Computational Assessment of Technical Proficiency in Soft-Tissue Tumor Resection in a Simulated Setting. Journal of surgical education. 76(3). 872–880. 1 indexed citations
11.
Ungi, Tamás, et al.. (2018). Augmented reality assistance in training needle insertions of different levels of difficulty. 523. 100–100. 2 indexed citations
12.
Yeo, Caitlin T., Andrew Macdonald, Tamás Ungi, et al.. (2017). Utility of 3D Reconstruction of 2D Liver Computed Tomography/Magnetic Resonance Images as a Surgical Planning Tool for Residents in Liver Resection Surgery. Journal of surgical education. 75(3). 792–797. 49 indexed citations
13.
McGraw, Robert, Timothy Chaplin, Louise Rang, et al.. (2016). Development and Evaluation of a Simulation-based Curriculum for Ultrasound-guided Central Venous Catheterization. Canadian Journal of Emergency Medicine. 18(6). 405–413. 29 indexed citations
14.
Ungi, Tamás, András Lassó, Caitlin T. Yeo, et al.. (2015). Navigated Breast Tumor Excision Using Electromagnetically Tracked Ultrasound and Surgical Instruments. IEEE Transactions on Biomedical Engineering. 63(3). 600–606. 46 indexed citations
15.
Yeo, Caitlin T., Colleen Davison, Tamás Ungi, et al.. (2015). Examination of Learning Trajectories for Simulated Lumbar Puncture Training Using Hand Motion Analysis. Academic Emergency Medicine. 22(10). 1187–1195. 14 indexed citations
16.
Sadjadi, H. Mohseni, et al.. (2014). Electromagnetic tracking performance analysis and optimization. PubMed. 2014. 6534–6538. 9 indexed citations
17.
Cartotto, Robert, Caitlin T. Yeo, Fernando Camacho, & Jeannie Callum. (2013). Does the Storage Age of Transfused Blood Affect Outcome in Burn Patients?. Journal of Burn Care & Research. 35(2). 186–197. 8 indexed citations
18.
Yeo, Caitlin T., Tamás Ungi, Paweena U-Thainual, et al.. (2011). The Effect of Augmented Reality Training on Percutaneous Needle Placement in Spinal Facet Joint Injections. IEEE Transactions on Biomedical Engineering. 58(7). 2031–2037. 59 indexed citations
19.
Ungi, Tamás, Caitlin T. Yeo, Paweena U-Thainual, Robert McGraw, & Gábor Fichtinger. (2011). Augmented reality needle guidance improves facet joint injection training. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7964. 79642E–79642E. 5 indexed citations
20.
Hsu, Anne Ann Ling, et al.. (1996). Bronchoscopy in immunocompromised host with pulmonary infiltrates.. PubMed. 25(6). 797–803. 3 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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