Judy Yee

9.1k total citations · 1 hit paper
135 papers, 4.9k citations indexed

About

Judy Yee is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Judy Yee has authored 135 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Oncology, 49 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Surgery. Recurrent topics in Judy Yee's work include Colorectal Cancer Screening and Detection (68 papers), Colorectal Cancer Surgical Treatments (33 papers) and Diverticular Disease and Complications (24 papers). Judy Yee is often cited by papers focused on Colorectal Cancer Screening and Detection (68 papers), Colorectal Cancer Surgical Treatments (33 papers) and Diverticular Disease and Complications (24 papers). Judy Yee collaborates with scholars based in United States, South Korea and Ireland. Judy Yee's co-authors include Raymond K. Hung, Geetanjali A. Akerkar, Susan D. Wall, Kenneth R. McQuaid, Mark E. Baker, Sandy Napel, David S. Paik, Benjamin M. Yeh, R. Brooke Jeffrey and Christian Beaulieu and has published in prestigious journals such as The Lancet, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

Judy Yee

125 papers receiving 4.7k citations

Hit Papers

Managing Incidental Findings on Abdominal CT: White Paper... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judy Yee United States 33 2.6k 1.7k 1.5k 1.4k 453 135 4.9k
Vittorio Miele Italy 35 688 0.3× 1.9k 1.1× 1.1k 0.7× 1.5k 1.0× 426 0.9× 236 4.2k
Roberto Maroldi Italy 41 1.2k 0.5× 1.1k 0.7× 1.0k 0.7× 1.8k 1.2× 621 1.4× 179 6.0k
David M. Panicek United States 40 994 0.4× 1.5k 0.9× 2.4k 1.6× 1.4k 1.0× 304 0.7× 132 4.7k
Philippe Soyer France 49 1.7k 0.7× 2.3k 1.4× 1.7k 1.1× 3.5k 2.4× 1.6k 3.6× 371 9.0k
Lincoln L. Berland United States 39 947 0.4× 3.3k 1.9× 1.6k 1.0× 2.5k 1.8× 574 1.3× 120 7.3k
Jorge A. Soto United States 46 1.3k 0.5× 1.5k 0.9× 2.5k 1.6× 4.4k 3.0× 557 1.2× 209 7.1k
C. Daniel Johnson United States 47 6.4k 2.4× 2.1k 1.2× 3.4k 2.3× 3.6k 2.5× 1.2k 2.8× 152 10.2k
Avinash Kambadakone United States 34 932 0.4× 2.3k 1.4× 1.1k 0.7× 1.0k 0.7× 433 1.0× 208 4.4k
Andrea Laghi Italy 48 3.7k 1.4× 4.3k 2.5× 3.1k 2.0× 3.6k 2.5× 1.1k 2.3× 379 10.1k
Richard H. Cohan United States 54 850 0.3× 3.1k 1.8× 3.0k 2.0× 3.3k 2.3× 379 0.8× 225 9.0k

Countries citing papers authored by Judy Yee

Since Specialization
Citations

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

Fields of papers citing papers by Judy Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judy Yee

This figure shows the co-authorship network connecting the top 25 collaborators of Judy Yee. A scholar is included among the top collaborators of Judy Yee 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 Judy Yee. Judy Yee 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.
Lalwani, Neeraj, et al.. (2025). From promise to practice: a scoping review of AI applications in abdominal radiology. Abdominal Radiology. 51(3). 1608–1617.
2.
Gordon, Moshe, Kristen Lee, Muhammed Amir Essibayi, et al.. (2024). Long-term outcomes of hospitalized patients with SARS-CoV-2/COVID-19 with and without neurological involvement: 3-year follow-up assessment. PLoS Medicine. 21(4). e1004263–e1004263. 17 indexed citations
3.
Yee, Judy, Abraham H. Dachman, David H. Kim, et al.. (2024). CT Colonography Reporting and Data System (C-RADS): Version 2023 Update. Radiology. 310(1). e232007–e232007. 8 indexed citations
4.
Abraham, Peter, et al.. (2023). Social Determinants of Health in Imaging-based Cancer Screening: A Case-based Primer with Strategies for Care Improvement. Radiographics. 43(11). e230008–e230008. 3 indexed citations
5.
Oates, M. Elizabeth, Fergus V. Coakley, Gary Cohen, T. Rob Goodman, & Judy Yee. (2022). Using an Annual Diversity, Equity and Inclusion Dashboard to Accelerate Change in Academic Radiology Departments. Academic Radiology. 30(6). 1164–1170. 11 indexed citations
6.
Obmann, Markus M., Chansik An, Yuxin Sun, et al.. (2020). Improved Sensitivity and Reader Confidence in CT Colonography Using Dual-Layer Spectral CT: A Phantom Study. Radiology. 297(1). 99–107. 7 indexed citations
7.
Ricci, Zina J., Mariya Kobi, & Judy Yee. (2020). CT Colonography for Colorectal Cancer Screening. Journal of Radiology Nursing. 39(3). 185–193. 6 indexed citations
8.
Tan, Bien Soo, N. Reed Dunnick, Afshin Gangi, et al.. (2020). RSNA International Trends: A Global Perspective on the COVID-19 Pandemic and Radiology in Late 2020. Radiology. 299(1). E193–E203. 23 indexed citations
9.
Melson, Joshua, Thomas F. Imperiale, Steven H. Itzkowitz, et al.. (2020). AGA White Paper: Roadmap for the Future of Colorectal Cancer Screening in the United States. Clinical Gastroenterology and Hepatology. 18(12). 2667–2678.e2. 24 indexed citations
10.
Rosen, Max P., Alexander Norbash, Jonathan B. Kruskal, et al.. (2020). Impact of Coronavirus Disease 2019 (COVID-19) on the Practice of Clinical Radiology. Journal of the American College of Radiology. 17(9). 1096–1100. 23 indexed citations
11.
Ricci, Zina J., et al.. (2019). CT Colonography: Improving Interpretive Skill by Avoiding Pitfalls. Radiographics. 40(1). 98–119. 4 indexed citations
12.
Yee, Judy & Elizabeth G. McFarland. (2018). Extracolonic findings and radiation at CT colonography: what the referring provider needs to know. Abdominal Radiology. 43(3). 554–565. 6 indexed citations
13.
Ricci, Zina J., et al.. (2018). Comparison of extracolonic findings and clinical outcomes in a screening and diagnostic CT colonography population. Abdominal Radiology. 44(2). 429–437. 4 indexed citations
14.
Pickhardt, Perry J., Judy Yee, & C. Daniel Johnson. (2018). CT colonography: over two decades from discovery to practice. Abdominal Radiology. 43(3). 517–522. 12 indexed citations
15.
Yee, Judy, Stefanie Weinstein, Benjamin M. Yeh, et al.. (2016). Multiple arterial phase MRI of arterial hypervascular hepatic lesions: improved arterial phase capture and lesion enhancement. Abdominal Radiology. 42(3). 870–876. 24 indexed citations
16.
Yee, Judy, Max P. Rosen, Michael A. Blake, et al.. (2010). ACR Appropriateness Criteria® on Colorectal Cancer Screening. Journal of the American College of Radiology. 7(9). 670–678. 16 indexed citations
17.
Yee, Judy, et al.. (2010). Extracolonic Findings at CT Colonography. Gastrointestinal Endoscopy Clinics of North America. 20(2). 305–322. 13 indexed citations
18.
Yee, Judy, et al.. (2005). Extracolonic Abnormalities Discovered Incidentally at CT Colonography in a Male Population. Radiology. 236(2). 519–526. 118 indexed citations
19.
Yee, Judy. (2002). Virtual colonoscopy (CT and MR colonography). Gastrointestinal Endoscopy. 55(7). S25–S32. 9 indexed citations
20.
Gokturk, S.B., Carlo Tomasi, Burak Acar, et al.. (2001). A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE Transactions on Medical Imaging. 20(12). 1251–1260. 117 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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