Sungkoo Cho

414 total citations
40 papers, 262 citations indexed

About

Sungkoo Cho is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sungkoo Cho has authored 40 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiation, 33 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sungkoo Cho's work include Radiation Therapy and Dosimetry (29 papers), Advanced Radiotherapy Techniques (27 papers) and Radiation Detection and Scintillator Technologies (16 papers). Sungkoo Cho is often cited by papers focused on Radiation Therapy and Dosimetry (29 papers), Advanced Radiotherapy Techniques (27 papers) and Radiation Detection and Scintillator Technologies (16 papers). Sungkoo Cho collaborates with scholars based in South Korea, United States and Japan. Sungkoo Cho's co-authors include Chan Hyeong Kim, Jong Hwi Jeong, Youngyih Han, Myonggeun Yoon, Do Hoon Lim, Jeong Il Yu, Dae‐Hyun Kim, Hee Chul Park, Sang Hoon Jung and Se Byeong Lee and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Physics in Medicine and Biology.

In The Last Decade

Sungkoo Cho

35 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungkoo Cho South Korea 8 191 189 71 48 24 40 262
Jatinder Saini United States 12 395 2.1× 384 2.0× 132 1.9× 33 0.7× 37 1.5× 40 507
Matthew T. Studenski United States 13 270 1.4× 316 1.7× 230 3.2× 26 0.5× 77 3.2× 56 445
Hideharu Miura Japan 11 227 1.2× 305 1.6× 209 2.9× 26 0.5× 69 2.9× 60 388
Sina Mossahebi United States 11 280 1.5× 270 1.4× 143 2.0× 10 0.2× 44 1.8× 53 401
K. Chung South Korea 9 129 0.7× 124 0.7× 55 0.8× 7 0.1× 27 1.1× 34 188
Kaley Woods United States 11 234 1.2× 281 1.5× 168 2.4× 12 0.3× 41 1.7× 27 335
Kouji Noda Japan 3 302 1.6× 317 1.7× 161 2.3× 21 0.4× 33 1.4× 3 376
C. H. Heinz Germany 9 111 0.6× 152 0.8× 99 1.4× 39 0.8× 20 0.8× 14 189
Marcel Nachbar Germany 13 211 1.1× 314 1.7× 313 4.4× 22 0.5× 51 2.1× 31 419
Sarah B. Scarboro United States 10 345 1.8× 416 2.2× 293 4.1× 12 0.3× 52 2.2× 13 496

Countries citing papers authored by Sungkoo Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sungkoo Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungkoo Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sungkoo Cho. A scholar is included among the top collaborators of Sungkoo Cho 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 Sungkoo Cho. Sungkoo Cho 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.
Jung, Sang Hoon, et al.. (2025). Evaluation of intensity‐modulated radiation therapy factors by treatment site and technique for various linear accelerators. Journal of Applied Clinical Medical Physics. 26(9). e70200–e70200.
3.
Ahn, S. H., et al.. (2023). FLASH dose rate calculation based on log files in proton pencil beam scanning therapy. Medical Physics. 50(11). 7154–7166. 3 indexed citations
4.
Cho, Sungkoo, et al.. (2022). Assessment of dose perturbations for metal stent in photon and proton radiotherapy plans for hepatocellular carcinoma. Radiation Oncology. 17(1). 125–125. 2 indexed citations
5.
Kim, Sung Hun, et al.. (2021). Upgrade of gamma electron vertex imaging system for high-performance range verification in pencil beam scanning proton therapy. Nuclear Engineering and Technology. 54(3). 1016–1023. 5 indexed citations
6.
Jung, Hyunuk, et al.. (2021). Development of a time-resolved mirrorless scintillation detector. PLoS ONE. 16(2). e0246742–e0246742. 3 indexed citations
7.
Yoo, Gyu Sang, Jeong Il Yu, Sungkoo Cho, et al.. (2021). Chronological Analysis of Acute Hematological Outcomes after Proton and Photon Beam Craniospinal Irradiation in Pediatric Brain Tumors. Cancer Research and Treatment. 54(3). 907–916. 6 indexed citations
8.
Han, Youngyih, et al.. (2021). Monitor unit prediction model for wobbling proton therapy with ridge filters. Medical Physics. 48(12). 8107–8116.
9.
Yoo, Gyu Sang, Jeong Il Yu, Sungkoo Cho, et al.. (2020). Comparison of clinical outcomes between passive scattering versus pencil-beam scanning proton beam therapy for hepatocellular carcinoma. Radiotherapy and Oncology. 146. 187–193. 33 indexed citations
10.
Kim, Chan Hyeong, et al.. (2018). Gamma electron vertex imaging for in-vivo beam-range measurement in proton therapy: Experimental results. Applied Physics Letters. 113(11). 5 indexed citations
11.
Lee, Kyung, Jeong Il Yu, Hee Chul Park, et al.. (2018). Is higher dose always the right answer in stereotactic body radiation therapy for small hepatocellular carcinoma?. Radiation Oncology Journal. 36(2). 129–138. 18 indexed citations
12.
Kim, Dae‐Hyun, Sungkoo Cho, Chae‐Seon Hong, et al.. (2018). Proton range verification in inhomogeneous tissue: Treatment planning system vs. measurement vs. Monte Carlo simulation. PLoS ONE. 13(3). e0193904–e0193904. 17 indexed citations
13.
Yu, Jeong Il, Gyu Sang Yoo, Sungkoo Cho, et al.. (2018). Initial clinical outcomes of proton beam radiotherapy for hepatocellular carcinoma. Radiation Oncology Journal. 36(1). 25–34. 12 indexed citations
14.
Lee, Sangmin, Seung‐Jae Lee, Dae‐Hyun Kim, et al.. (2017). Monte Carlo simulation of secondary neutron dose for scanning proton therapy using FLUKA. PLoS ONE. 12(10). e0186544–e0186544. 8 indexed citations
15.
Kim, Min Kyu, Sang Gyu Ju, K. Chung, et al.. (2015). Development of a 3D optical scanning‐based automatic quality assurance system for proton range compensators. Medical Physics. 42(2). 1071–1079. 5 indexed citations
16.
Jeong, C., B. K. Shin, Sungkoo Cho, et al.. (2013). Proton-radiography-based quality assurance of proton range compensator. Physics in Medicine and Biology. 58(18). 6511–6523. 5 indexed citations
17.
Min, Byung Jun, Myonggeun Yoon, Jin Sung Kim, et al.. (2011). Secondary radiation doses of intensity-modulated radiotherapy and proton beam therapy in patients with lung and liver cancer. Radiotherapy and Oncology. 98(3). 335–339. 20 indexed citations
18.
Kim, Chan Hyeong, et al.. (2011). DEVELOPMENT OF NEW TWO-DOSIMETER ALGORITHM FOR EFFECTIVE DOSE IN ICRP PUBLICATION 103. Health Physics. 100(5). 462–467. 6 indexed citations
19.
Kim, Chan Hyeong, et al.. (2009). Monte Carlo Calculations of Neutron Dose Conversion Coefficients for Reference Korean Male. Nuclear Technology. 168(2). 345–348.
20.
Jeong, Jong Hwi, et al.. (2008). Development of a Reference Korean Voxel Model by Adjusting the Size of the Organs and Tissues. Journal of Nuclear Science and Technology. 45(sup5). 321–324. 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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