Ryan K. Lee

1.1k total citations
28 papers, 456 citations indexed

About

Ryan K. Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Surgery. According to data from OpenAlex, Ryan K. Lee has authored 28 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Neurology and 4 papers in Surgery. Recurrent topics in Ryan K. Lee's work include Radiation Dose and Imaging (9 papers), Radiology practices and education (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). Ryan K. Lee is often cited by papers focused on Radiation Dose and Imaging (9 papers), Radiology practices and education (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). Ryan K. Lee collaborates with scholars based in United States, Canada and Italy. Ryan K. Lee's co-authors include Robert Shih, Per‐Lennart Westesson, Diane T. Piekut, Ravinder‐Jeet Singh, Akio Hiwatashi, Joachim E. Wildberger, Diana L. Miglioretti, Jay Starkey, Rebecca Smith‐Bindman and Robert Chung and has published in prestigious journals such as Radiology, CHEST Journal and BMJ.

In The Last Decade

Ryan K. Lee

27 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan K. Lee United States 10 203 123 108 87 81 28 456
Jana Lindberg United States 10 655 3.2× 118 1.0× 321 3.0× 55 0.6× 28 0.3× 16 1.1k
Adam Jasne United States 10 122 0.6× 55 0.4× 26 0.2× 163 1.9× 138 1.7× 19 547
Ho Cheol Choi South Korea 12 117 0.6× 75 0.6× 104 1.0× 73 0.8× 26 0.3× 44 461
Kent M. Koprowicz United States 15 442 2.2× 439 3.6× 73 0.7× 21 0.2× 38 0.5× 28 832
Dong‐In Shin Germany 17 130 0.6× 32 0.3× 110 1.0× 52 0.6× 13 0.2× 91 1.3k
Rasmus Borgquist Sweden 18 234 1.2× 60 0.5× 134 1.2× 31 0.4× 6 0.1× 84 1.1k
Katrine Jensen Denmark 14 67 0.3× 74 0.6× 277 2.6× 146 1.7× 13 0.2× 34 593
Dominik Buckert Germany 15 207 1.0× 37 0.3× 85 0.8× 93 1.1× 8 0.1× 62 558
J Hanrahan United States 8 85 0.4× 43 0.3× 122 1.1× 29 0.3× 13 0.2× 11 337
Raymond Tukkie Netherlands 17 110 0.5× 27 0.2× 214 2.0× 33 0.4× 19 0.2× 52 1.7k

Countries citing papers authored by Ryan K. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ryan K. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan K. Lee. 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 Ryan K. Lee. The network helps show where Ryan K. Lee may publish in the future.

Co-authorship network of co-authors of Ryan K. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan K. Lee. A scholar is included among the top collaborators of Ryan K. Lee 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 Ryan K. Lee. Ryan K. Lee 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.
Chung, Yoonkyung, Elizabeth Y. Rula, Farouk Dako, et al.. (2025). Association of Shared Decision-Making With Long-Term Adherence to Lung Cancer Screening. CHEST Journal. 168(5). 1248–1256.
2.
Brown, Joshua D., Leon Lenchik, Linda Probyn, et al.. (2025). Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide. Academic Radiology. 32(5). 3082–3091. 4 indexed citations
3.
Yun, Jung H., et al.. (2023). The Effect of Using Artificial Intelligence to Improve Compliance Rates for Imaging Follow-Up Recommendations. Journal of the American College of Radiology. 20(8). 809–811. 3 indexed citations
4.
Moore, Christopher L., Anna Marie Chang, Dickson Cheung, et al.. (2023). White Paper: Best Practices in the Communication and Management of Actionable Incidental Findings in Emergency Department Imaging. Journal of the American College of Radiology. 20(4). 422–430. 9 indexed citations
5.
Lee, Ryan K., Judah Burns, Joshua Broder, et al.. (2020). ACR Appropriateness Criteria® Seizures and Epilepsy. Journal of the American College of Radiology. 17(5). S293–S304. 9 indexed citations
6.
Lee, Ryan K., et al.. (2020). Implementing Electronic Health Record–Based Clinical Decision Support for Head CT Ordering in Minor Pediatric Head Trauma. Journal of the American College of Radiology. 17(12). 1571–1574. 1 indexed citations
7.
Wang, Kevin Yuqi, et al.. (2020). Implications of the Revisions and Revaluation of Office/Outpatient Evaluation and Management Codes for Neuroradiology Reimbursement. American Journal of Neuroradiology. 41(7). 1160–1164. 6 indexed citations
8.
Lee, Ryan K., et al.. (2020). Act 112 and Radiology. Journal of the American College of Radiology. 18(1). 68–70. 2 indexed citations
9.
Harvey, H. Benjamin, Rathan M. Subramaniam, Judah Burns, et al.. (2020). ACR Appropriateness Criteria® Movement Disorders and Neurodegenerative Diseases. Journal of the American College of Radiology. 17(5). S175–S187. 5 indexed citations
10.
Lee, Ryan K., et al.. (2020). Transitioning to Peer Learning: Lessons Learned. Journal of the American College of Radiology. 18(3). 499–506. 8 indexed citations
11.
Smith‐Bindman, Rebecca, Yifei Wang, Philip Chu, et al.. (2019). International variation in radiation dose for computed tomography examinations: prospective cohort study. BMJ. k4931–k4931. 163 indexed citations
12.
Whitehead, Matthew T., Amanda S. Corey, Bruno Policeni, et al.. (2019). ACR Appropriateness Criteria® Headache. Journal of the American College of Radiology. 16(11). S364–S377. 50 indexed citations
13.
Aulino, Joseph M., Claudia Kirsch, Judah Burns, et al.. (2019). ACR Appropriateness Criteria® Neck Mass-Adenopathy. Journal of the American College of Radiology. 16(5). S150–S160. 22 indexed citations
14.
Luttrull, Michael D., Daniel Boulter, Claudia Kirsch, et al.. (2019). ACR Appropriateness Criteria® Acute Mental Status Change, Delirium, and New Onset Psychosis. Journal of the American College of Radiology. 16(5). S26–S37. 17 indexed citations
15.
Lee, Ryan K., et al.. (2018). Using auto population of X-ray procedure exam type in radiology reports to decrease reporting errors. Clinical Imaging. 50. 208–210. 1 indexed citations
16.
Sharma, Aseem, Claudia Kirsch, Joseph M. Aulino, et al.. (2018). ACR Appropriateness Criteria® Hearing Loss and/or Vertigo. Journal of the American College of Radiology. 15(11). S321–S331. 20 indexed citations
17.
Lee, Ryan K., et al.. (2017). Reducing Variability of Radiation Dose in CT: The New Frontier in Patient Safety. Journal of the American College of Radiology. 15(11). 1633–1641. 7 indexed citations
18.
Lee, Ryan K.. (2006). A Resident’s Primer of Medicare Reimbursement in Radiology. Journal of the American College of Radiology. 3(1). 58–63. 5 indexed citations
19.
Hiwatashi, Akio, et al.. (2005). Kyphoplasty versus Vertebroplasty to Increase Vertebral Body Height: A Cadaveric Study. Radiology. 237(3). 1115–1119. 51 indexed citations
20.
Lee, Ryan K.. (2004). The case for the three-year residency. Journal of the American College of Radiology. 1(12). 992–996. 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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