Sang‐Keun Woo

972 total citations
65 papers, 763 citations indexed

About

Sang‐Keun Woo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Sang‐Keun Woo has authored 65 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Sang‐Keun Woo's work include Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Radiopharmaceutical Chemistry and Applications (16 papers). Sang‐Keun Woo is often cited by papers focused on Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Radiopharmaceutical Chemistry and Applications (16 papers). Sang‐Keun Woo collaborates with scholars based in South Korea, United States and Japan. Sang‐Keun Woo's co-authors include Sang Moo Lim, Ilhan Lim, Byung Hyun Byun, Wook Kim, Joo Hyun Kang, Chang Woon Choi, Chang‐Bae Kong, Tae Sup Lee, Kyeong Min Kim and Won Seok Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Sang‐Keun Woo

60 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Keun Woo South Korea 15 422 197 138 136 74 65 763
Florian Auer Germany 14 334 0.8× 176 0.9× 290 2.1× 80 0.6× 134 1.8× 26 1.1k
Desheng Sun China 13 239 0.6× 141 0.7× 101 0.7× 77 0.6× 128 1.7× 36 656
Darby J. S. Thompson United States 19 502 1.2× 326 1.7× 581 4.2× 66 0.5× 37 0.5× 47 1.8k
Lei Hu China 15 179 0.4× 131 0.7× 166 1.2× 53 0.4× 47 0.6× 59 543
Shangchen Xu China 16 144 0.3× 105 0.5× 229 1.7× 74 0.5× 96 1.3× 37 724
Corradina Caracò Italy 19 328 0.8× 96 0.5× 141 1.0× 313 2.3× 62 0.8× 30 812
Bethania Fernandes Italy 14 177 0.4× 75 0.4× 85 0.6× 88 0.6× 32 0.4× 34 536
Soo Kyung Ahn South Korea 18 149 0.4× 134 0.7× 135 1.0× 254 1.9× 25 0.3× 48 824
Sho Koyasu Japan 17 352 0.8× 277 1.4× 431 3.1× 171 1.3× 108 1.5× 58 1.3k
Mackenzie Price United States 8 234 0.6× 325 1.6× 433 3.1× 204 1.5× 135 1.8× 22 1.6k

Countries citing papers authored by Sang‐Keun Woo

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Keun Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Keun Woo. 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 Sang‐Keun Woo. The network helps show where Sang‐Keun Woo may publish in the future.

Co-authorship network of co-authors of Sang‐Keun Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Keun Woo. A scholar is included among the top collaborators of Sang‐Keun Woo 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 Sang‐Keun Woo. Sang‐Keun Woo 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.
Kang, Chi Soo, Chi Soo Kang, Do Hyeon Kim, et al.. (2025). Radionuclide-Aided Improvement of the Therapeutic Efficacy of Novel Antibody–Drug Conjugates against HER2-Expressing Cancers. Molecular Pharmaceutics. 22(7). 3793–3802. 2 indexed citations
2.
Woo, Sang‐Keun. (2025). The Role of Artificial Intelligence in Advancing Theranostics Dosimetry for Cancer Therapy: a Review. Nuclear Medicine and Molecular Imaging. 59(5). 329–341.
3.
Choi, Joon Young, Sang‐Keun Woo, Chae Hong Lim, et al.. (2024). Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer. Journal of Personalized Medicine. 14(1). 71–71. 2 indexed citations
4.
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Lee, Jung Hwan, Sang‐Keun Woo, Tae Sup Lee, et al.. (2023). In vivo tissue pharmacokinetics of ERBB2‐specific binding oligonucleotide‐based drugs by PET imaging. Clinical and Translational Science. 16(7). 1186–1196. 8 indexed citations
6.
Lim, Chae Hong, Joon Young Choi, Jun Hee Lee, et al.. (2023). Development and External Validation of 18F-FDG PET-Based Radiomic Model for Predicting Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer. Cancers. 15(15). 3842–3842. 5 indexed citations
7.
8.
Kim, Kangsan, et al.. (2023). Deep Learning-Based Delayed PET Image Synthesis from Corresponding Early Scanned PET for Dosimetry Uptake Estimation. Diagnostics. 13(19). 3045–3045. 3 indexed citations
9.
10.
Lee, Chulhee, Ilhan Lim, Sang‐Keun Woo, et al.. (2021). Targeted alpha immunotherapy of CD20-positive B-cell lymphoma model: dosimetry estimate of 225Ac-DOTA-rituximab using 64Cu-DOTA-rituximab. Annals of Nuclear Medicine. 35(5). 639–647. 8 indexed citations
11.
Lee, Chulhee, Ilhan Lim, Sang‐Keun Woo, et al.. (2021). The Feasibility of 64 Cu-PSMA I&T PET for Prostate Cancer. Cancer Biotherapy and Radiopharmaceuticals. 37(6). 417–423. 10 indexed citations
12.
Woo, Sang‐Keun. (2019). Generation of contrast enhanced computed tomography image using deep learning network. Journal of the Korea Society of Computer and Information. 24(3). 41–47.
13.
Kim, Junyoung, et al.. (2019). Radioprotective effect of newly synthesized toll-like receptor 5 agonist, KMRC011, in mice exposed to total-body irradiation. Journal of Radiation Research. 60(4). 432–441. 13 indexed citations
14.
Woo, Sang‐Keun, Su Jin Jang, Minjung Seo, et al.. (2018). Development of 64Cu-NOTA-Trastuzumab for HER2 Targeting: A Radiopharmaceutical with Improved Pharmacokinetics for Human Studies. Journal of Nuclear Medicine. 60(1). 26–33. 59 indexed citations
15.
Yoo, Ran Ji, Min Hwan Kim, Sang‐Keun Woo, et al.. (2017). Monitoring of macrophage accumulation in statin-treated atherosclerotic mouse model using sodium iodide symporter imaging system. Nuclear Medicine and Biology. 48. 45–51. 2 indexed citations
16.
17.
Kim, Dong-Yeon, Hyeon-Sik Kim, Hee-Jung Kim, et al.. (2012). Evaluation of a Mitochondrial Voltage Sensor, (18F-Fluoropentyl)Triphenylphosphonium Cation, in a Rat Myocardial Infarction Model. Journal of Nuclear Medicine. 53(11). 1779–1785. 41 indexed citations
18.
Kim, Kyeongmin, Sang‐Keun Woo, Tae‐Hyun Choi, et al.. (2009). Image-Based Assessment and Clinical Significance of Absorbed Radiation Dose to Tumor in Repeated High-Dose 131 I Anti-CD20 Monoclonal Antibody (Rituximab) Radioimmunotherapy for Non-Hodgkin's Lymphoma. Nuclear Medicine and Molecular Imaging. 43(1). 60–71. 1 indexed citations
19.
Choi, Joon‐Young, et al.. (2007). Quantitative Comparisons between CT and $^{68}Ge$ Transmission Attenuation Corrected $^{18}F-FDG$ PET Images: Measured Attenuation Correction vs. Segmented Attenuation Correction. Nuclear Medicine and Molecular Imaging. 41(1). 49–53. 2 indexed citations
20.

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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