Rena Lee

1.6k total citations
66 papers, 1.2k citations indexed

About

Rena Lee is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rena Lee has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiation, 28 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rena Lee's work include Advanced Radiotherapy Techniques (32 papers), Medical Imaging Techniques and Applications (19 papers) and Radiation Therapy and Dosimetry (12 papers). Rena Lee is often cited by papers focused on Advanced Radiotherapy Techniques (32 papers), Medical Imaging Techniques and Applications (19 papers) and Radiation Therapy and Dosimetry (12 papers). Rena Lee collaborates with scholars based in South Korea, United States and Australia. Rena Lee's co-authors include Jessica E. Malberg, Ji‐Eun Kim, Ronald S. Duman, Shin Nakagawa, Jingshan Chen, Cathy Steffen, Yajun Zhang, Eric J. Nestler, Lei Xing and Shuichi Tsuji and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rena Lee

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rena Lee South Korea 14 399 334 300 216 211 66 1.2k
Ammar H. Hawasli United States 24 141 0.4× 607 1.8× 205 0.7× 424 2.0× 48 0.2× 47 2.2k
Kenneth A. Jenrow United States 19 125 0.3× 132 0.4× 350 1.2× 240 1.1× 36 0.2× 30 1.2k
Marcus Beck Germany 19 147 0.4× 464 1.4× 210 0.7× 491 2.3× 53 0.3× 72 1.8k
Bo‐Young Choe South Korea 20 45 0.1× 302 0.9× 437 1.5× 195 0.9× 87 0.4× 95 1.4k
Bang‐Hung Yang Taiwan 20 34 0.1× 204 0.6× 299 1.0× 440 2.0× 42 0.2× 86 1.3k
Dana Greene-Schloesser United States 9 243 0.6× 109 0.3× 248 0.8× 147 0.7× 27 0.1× 12 1.2k
Neil D. Martin United Kingdom 15 630 1.6× 247 0.7× 433 1.4× 351 1.6× 23 0.1× 26 1.7k
M.J. Oswald New Zealand 24 45 0.1× 409 1.2× 61 0.2× 295 1.4× 45 0.2× 43 1.6k
Maria-João Ribeiro France 19 63 0.2× 465 1.4× 345 1.1× 334 1.5× 59 0.3× 32 1.4k
Toshihiko Kanno Japan 15 29 0.1× 381 1.1× 497 1.7× 166 0.8× 38 0.2× 22 1.6k

Countries citing papers authored by Rena Lee

Since Specialization
Citations

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

Fields of papers citing papers by Rena Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rena Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Rena Lee. A scholar is included among the top collaborators of Rena 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 Rena Lee. Rena 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.
Choe, A Reum, Yehyun Park, Eun Mi Song, et al.. (2025). Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study. JMIR Medical Informatics. 13. e64987–e64987. 1 indexed citations
2.
Shin, Seong Soo, et al.. (2024). Comparison of skin dose in IMRT and VMAT with TrueBeam and Halcyon linear accelerator for whole breast irradiation. Physical and Engineering Sciences in Medicine. 47(2). 443–451. 2 indexed citations
3.
Choe, A Reum, Yehyun Park, Min-Sun Cho, et al.. (2023). Using a Deep Learning Model to Address Interobserver Variability in the Evaluation of Ulcerative Colitis (UC) Severity. Journal of Personalized Medicine. 13(11). 1584–1584. 5 indexed citations
4.
Kim, Jin Sung, et al.. (2023). Dosimetric verification of annual quality assurance for a linear accelerator using a transmission type detector. Scientific Reports. 13(1). 17994–17994.
5.
Guo, Minghao, Hengyong Yu, Ruijiang Li, et al.. (2019). Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT. PLoS ONE. 14(1). e0210410–e0210410. 1 indexed citations
6.
Kim, Jiyoung, Yi‐Jun Kim, Rena Lee, et al.. (2016). Treatment outcomes after adjuvant radiotherapy following surgery for patients with stage I endometrial cancer. Radiation Oncology Journal. 34(4). 265–272. 7 indexed citations
7.
Kim, Youngjun, et al.. (2016). Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching. Computers in Biology and Medicine. 77. 173–181. 8 indexed citations
8.
Kim, Eun Ho, B. K. Shin, Sanghee Nam, et al.. (2016). Analysis of Neutron Production in Passively Scattered Ion-Beam Therapy. Radiation Protection Dosimetry. 175(3). 297–303. 2 indexed citations
9.
Kim, Hojin, Ruijiang Li, Rena Lee, & Lei Xing. (2015). Beam’s-eye-view dosimetrics (BEVD) guided rotational station parameter optimized radiation therapy (SPORT) planning based on reweighted total-variation minimization. Physics in Medicine and Biology. 60(5). N71–N82. 11 indexed citations
10.
Kim, Taeho, et al.. (2014). Motion management within two respiratory-gating windows: feasibility study of dual quasi-breath-hold technique in gated medical procedures. Physics in Medicine and Biology. 59(21). 6583–6594. 10 indexed citations
13.
Kim, Siyong, Taeho Kim, Stephen Ko, et al.. (2013). Negative margin technique — a novel planning strategy to improve dose conformation in SBRT using dynamic conformal arc delivery. Journal of Applied Clinical Medical Physics. 14(5). 79–89. 4 indexed citations
14.
Baek, Jihye, Myungsoo Kim, Dongyoung Kim, et al.. (2013). Accuracy of volume measurement using 3D ultrasound and development of CT-3D US image fusion algorithm for prostate cancer radiotherapy. Medical Physics. 40(2). 21704–21704. 8 indexed citations
15.
Lee, Ho, Lei Xing, Ran Davidi, et al.. (2012). Improved compressed sensing-based cone-beam CT reconstruction using adaptive prior image constraints. Physics in Medicine and Biology. 57(8). 2287–2307. 66 indexed citations
16.
Kim, Young Ju, et al.. (2012). Serum levels of zinc, calcium, and iron are associated with the risk of preeclampsia in pregnant women. Nutrition Research. 32(10). 764–769. 53 indexed citations
17.
Kim, Myungsoo, et al.. (2011). Factors predicting radiation pneumonitis in locally advanced non-small cell lung cancer. Radiation Oncology Journal. 29(3). 181–181. 40 indexed citations
18.
Choi, Sang Hyoun, Woochul Kim, Seong Hoon Kim, et al.. (2009). Analysis of Dose Distribution on Critical Organs for Radiosurgery with CyberKnife Real-Time Tumor Tracking System. 20(1). 14–20. 1 indexed citations
19.
Lee, Rena, et al.. (2008). Bladder Volume Variations in Patients Receiving Conformal Radiotherapy to Prostate. Journal of Radiation Protection and Research. 33(2). 61–65. 1 indexed citations
20.
Lee, Rena, et al.. (2006). Analysis of the Movement of Surgical Clips Implanted in Tumor Bed during Normal Breathing for Breast Cancer Patients. Radiation Oncology Journal. 24(3). 192–200. 1 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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