Myonggeun Yoon

3.1k total citations
175 papers, 2.5k citations indexed

About

Myonggeun Yoon is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Myonggeun Yoon has authored 175 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Radiation, 90 papers in Pulmonary and Respiratory Medicine and 51 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Myonggeun Yoon's work include Advanced Radiotherapy Techniques (96 papers), Radiation Therapy and Dosimetry (73 papers) and Radiation Detection and Scintillator Technologies (26 papers). Myonggeun Yoon is often cited by papers focused on Advanced Radiotherapy Techniques (96 papers), Radiation Therapy and Dosimetry (73 papers) and Radiation Detection and Scintillator Technologies (26 papers). Myonggeun Yoon collaborates with scholars based in South Korea, United States and Canada. Myonggeun Yoon's co-authors include Sung Yong Park, J. A. F. Stevenson, Se Byeong Lee, Kwan Ho Cho, Eun Ho Kim, Dong Wook Kim, Jiwon Sung, Seung‐Hoon Yoo, Kyung Hwan Shin and Dongho Shin and has published in prestigious journals such as Nature, Science and Physical review. B, Condensed matter.

In The Last Decade

Myonggeun Yoon

161 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myonggeun Yoon South Korea 27 982 892 541 535 348 175 2.5k
Sujit S. Prabhu United States 34 113 0.1× 1.2k 1.4× 544 1.0× 1.1k 2.0× 362 1.0× 150 4.6k
Thomas J. Pohida United States 22 90 0.1× 839 0.9× 1.1k 2.1× 681 1.3× 172 0.5× 60 3.0k
Ulrich Schüller Germany 37 111 0.1× 400 0.4× 2.5k 4.6× 486 0.9× 250 0.7× 174 4.5k
Norbert Bornfeld Germany 39 64 0.1× 642 0.7× 1.5k 2.8× 1.9k 3.5× 429 1.2× 262 6.2k
Stefan Hans Germany 25 217 0.2× 297 0.3× 1.7k 3.2× 153 0.3× 261 0.8× 66 2.7k
Toshiaki Takeda Japan 27 488 0.5× 699 0.8× 259 0.5× 410 0.8× 243 0.7× 61 1.7k
Tracy R. McKnight United States 26 79 0.1× 212 0.2× 585 1.1× 1.3k 2.5× 186 0.5× 43 2.7k
Simon K. Cheng United States 25 74 0.1× 1.1k 1.2× 2.0k 3.7× 230 0.4× 71 0.2× 78 3.5k
Maciej M. Mrugała United States 24 50 0.1× 367 0.4× 468 0.9× 442 0.8× 115 0.3× 91 2.5k
Daniel L. Silbergeld United States 32 40 0.0× 280 0.3× 625 1.2× 709 1.3× 389 1.1× 85 3.3k

Countries citing papers authored by Myonggeun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Myonggeun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myonggeun Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Myonggeun Yoon. A scholar is included among the top collaborators of Myonggeun Yoon 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 Myonggeun Yoon. Myonggeun Yoon 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.
Wu, Hong-Gyun, et al.. (2025). Hybrid Approach to Classifying Histological Subtypes of Non-small Cell Lung Cancer (NSCLC): Combining Radiomics and Deep Learning Features from CT Images. Journal of Imaging Informatics in Medicine. 38(6). 3535–3547. 1 indexed citations
2.
Yoon, Myonggeun, et al.. (2025). Enhanced anti-tumor effects of combined electric fields, cabozantinib, and radiation therapy in metastatic renal cell carcinoma. Clinical & Translational Oncology. 27(9). 3707–3716. 1 indexed citations
3.
Ko, Yousun, Jong-Hyun Kim, Sung Hwan Ahn, et al.. (2024). A device‐dependent auto‐segmentation method based on combined generalized and single‐device datasets. Medical Physics. 52(4). 2375–2383.
4.
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Yoon, Myonggeun, et al.. (2019). Feasibility of fast non local means filter in pediatric chest x-ray for increasing of pulmonary nodule detectability with 3D printed lung nodule phantom. Journal of Radiological Protection. 39(3). 872–890. 6 indexed citations
7.
Ahn, Sung Hwan, Hye Young Kim, Jaeman Son, et al.. (2016). Secondary cancer‐incidence risk estimates for external radiotherapy and high‐dose‐rate brachytherapy in cervical cancer: phantom study. Journal of Applied Clinical Medical Physics. 17(5). 124–132. 16 indexed citations
8.
Jeong, Hyesun, Jiwon Sung, Seong Hoon Jeong, et al.. (2014). Inhibition of brain tumor cell proliferation by alternating electric fields. Applied Physics Letters. 105(20). 20 indexed citations
9.
Kim, Dong Wook, Weon Kuu Chung, Sung Hwan Ahn, & Myonggeun Yoon. (2013). Estimate of the secondary cancer risk from megavoltage CT in tomotherapy. Journal of the Korean Physical Society. 62(8). 1199–1203. 3 indexed citations
10.
Arbelaez, D., Myonggeun Yoon, S. Caspi, et al.. (2011). COMPACT BEAM DELIVERY SYSTEMS FOR ION BEAM THERAPY. Presented at. 3634–3636. 1 indexed citations
11.
Lee, Suk, Dongho Shin, Myonggeun Yoon, et al.. (2009). A Study of Radiation Exposure in Proton Therapy Facility. 20(1). 37–42. 1 indexed citations
12.
Yoon, Myonggeun, et al.. (2009). SU‐FF‐T‐476: Dose‐Sparing Effects of a Rectal Balloon in Proton Therapy of the Prostate. Medical Physics. 36(6Part16). 2632–2632. 3 indexed citations
13.
Kim, Jin Sung, Ho Kyung Kim, Myonggeun Yoon, et al.. (2008). Geometric Calibration of Cone-beam CT System for Image Guided Proton Therapy. 19(4). 209–218.
14.
Kim, Jin Sung, Myonggeun Yoon, Dong Wook Kim, et al.. (2008). Image Based Quality Assurance of Range Compensator for Proton Beam Therapy.. 19(1). 35–41. 2 indexed citations
15.
Shin, Dongho, Tae Hyun Kim, Sung Yong Park, et al.. (2008). Influence of Lipiodol Agent on Proton Beam Range in Radiotherapy Planning Using Computed Tomography for Hepatocellular Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 72(3). 687–694. 9 indexed citations
16.
Han, Youngyih, Sung Ho Park, Tae‐Suk Suh, et al.. (2008). Dosimetry in an IMRT phantom designed for a remote monitoring program. Medical Physics. 35(6Part1). 2519–2527. 7 indexed citations
17.
Yoon, Myonggeun, Dong Wook Kim, Dong‐Ho Shin, et al.. (2008). Inter- and Intrafractional Movement–Induced Dose Reduction of Prostate Target Volume in Proton Beam Treatment. International Journal of Radiation Oncology*Biology*Physics. 71(4). 1091–1102. 26 indexed citations
18.
Yoon, Myonggeun, Sung Yong Park, Jungwook Shin, et al.. (2007). Effect of radiation scattering on dose uniformity in open and closed cell culture vessels. International Journal of Radiation Biology. 83(8). 561–566. 1 indexed citations
19.
Yoon, Myonggeun, Dongho Shin, Jeung Hun Park, et al.. (2006). A new evaluation method of target volume coverage and homogeneity for IMRT treatment planning. Physica Medica. 22(2). 43–51. 3 indexed citations
20.
Huang, Jinkun, et al.. (1997). Beam-Based Offset Calibration of the PLS BPM. APS. 2 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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