Joon‐Kee Yoon

1.9k total citations
109 papers, 1.4k citations indexed

About

Joon‐Kee Yoon is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joon‐Kee Yoon has authored 109 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Surgery and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joon‐Kee Yoon's work include Medical Imaging Techniques and Applications (25 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Thyroid Cancer Diagnosis and Treatment (12 papers). Joon‐Kee Yoon is often cited by papers focused on Medical Imaging Techniques and Applications (25 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Thyroid Cancer Diagnosis and Treatment (12 papers). Joon‐Kee Yoon collaborates with scholars based in South Korea, United States and Netherlands. Joon‐Kee Yoon's co-authors include Young‐Sil An, Su Jin Lee, Phil Hyu Lee, Seok Woo Yong, Sung Yong Park, Kwang Joo Park, Doo Kyoung Kang, Gwang Lee, Soo Hyun Kwon and Young Hwan Ahn and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Joon‐Kee Yoon

101 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon‐Kee Yoon South Korea 20 520 278 244 194 183 109 1.4k
Young‐Sil An South Korea 20 527 1.0× 247 0.9× 244 1.0× 190 1.0× 142 0.8× 134 1.6k
Ho‐Chun Song South Korea 22 546 1.1× 300 1.1× 171 0.7× 191 1.0× 123 0.7× 97 1.3k
Diego Cecchin Italy 23 544 1.0× 379 1.4× 430 1.8× 303 1.6× 123 0.7× 156 1.8k
Ichiei Kuji Japan 18 726 1.4× 454 1.6× 96 0.4× 349 1.8× 125 0.7× 73 1.4k
Sean Sachdev United States 18 164 0.3× 237 0.9× 247 1.0× 192 1.0× 188 1.0× 69 1.2k
Federico Fallanca Italy 18 526 1.0× 405 1.5× 100 0.4× 162 0.8× 80 0.4× 59 1.2k
Artor Niccoli Asabella Italy 20 357 0.7× 261 0.9× 267 1.1× 181 0.9× 108 0.6× 86 1.1k
Marie‐Hélène Gaugler France 26 629 1.2× 396 1.4× 166 0.7× 272 1.4× 537 2.9× 49 1.8k
Jahae Kim South Korea 20 356 0.7× 186 0.7× 122 0.5× 82 0.4× 91 0.5× 96 1.0k
Khoi D. Than United States 13 468 0.9× 447 1.6× 328 1.3× 100 0.5× 196 1.1× 14 2.0k

Countries citing papers authored by Joon‐Kee Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Kee Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon‐Kee Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Kee Yoon. A scholar is included among the top collaborators of Joon‐Kee 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 Joon‐Kee Yoon. Joon‐Kee 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.
Kim, In‐Gyu, et al.. (2020). 18F-fluorodeoxyglucose PET/CT as an independent predictor for patients with hepatocellular carcinoma combined with major portal vein tumor thrombus. Annals of Surgical Treatment and Research. 99(1). 8–8. 1 indexed citations
2.
3.
Ryoo, Hyun Gee, Won Woo Lee, Ji Young Kim, et al.. (2019). Minimum Standardized Uptake Value from Quantitative Bone Single-Photon Emission Computed Tomography/Computed Tomography for Evaluation of Femoral Head Viability in Patients with Femoral Neck Fracture. Nuclear Medicine and Molecular Imaging. 53(4). 287–295. 10 indexed citations
4.
Yoon, Joon‐Kee, et al.. (2018). A study on effective disinfection methods of medical ultrasound probe resident floras. Journal of the Korea Academia-Industrial cooperation Society. 19(1). 346–354. 2 indexed citations
5.
6.
Kim, Tae Hee, Joon‐Kee Yoon, Doo Kyoung Kang, et al.. (2016). Value of volume-based metabolic parameters for predicting survival in breast cancer patients treated with neoadjuvant chemotherapy. Medicine. 95(41). e4605–e4605. 20 indexed citations
7.
An, Young‐Sil, et al.. (2014). Diagnostische Aussagekraft von 18F-FDG PET/CT, Sonografie und MRT. Nuklearmedizin - NuclearMedicine. 53(3). 89–94. 17 indexed citations
8.
Yoon, Sung Hyun, et al.. (2014). Speicheldrüsenszintigraphie beim Sjögren-Syndrom. Nuklearmedizin - NuclearMedicine. 53(4). 139–145. 10 indexed citations
9.
Levi, Jelena, Sarah E. Bohndiek, Joon‐Kee Yoon, et al.. (2013). Molecular Photoacoustic Imaging of Follicular Thyroid Carcinoma. Clinical Cancer Research. 19(6). 1494–1502. 102 indexed citations
10.
Yoon, Joon‐Kee, et al.. (2013). Knochenmarktransplantation mit mesenchymalen Stammzellen bei akutem Hirntrauma. Nuklearmedizin - NuclearMedicine. 52(5). 192–197. 3 indexed citations
11.
Smith, Bryan Ronain, Natesh Parashurama, Joon‐Kee Yoon, et al.. (2012). Unexpected Dissemination Patterns in Lymphoma Progression Revealed by Serial Imaging within a Murine Lymph Node. Cancer Research. 72(23). 6111–6118. 20 indexed citations
12.
Lee, Sungsoo, et al.. (2012). Primary Malignant Fibrous Histiocytoma in Mediastinum: Imaging with 18F-FDG PET/CT. Nuclear Medicine and Molecular Imaging. 46(4). 304–307. 8 indexed citations
13.
An, Young‐Sil, et al.. (2010). Relation Between Fluorodeoxyglucose Uptake and Glucose Transporter-1 Expression in Gastric Signet Ring Cell Carcinoma. Nuclear Medicine and Molecular Imaging. 45(1). 30–35. 6 indexed citations
14.
Yoon, Joon‐Kee, et al.. (2009). 18 F-FDG PET/CT Finding in a Case of Xanthogranulomatous Pyelonephritis. Nuclear Medicine and Molecular Imaging. 43(2). 150–153. 1 indexed citations
15.
Yoon, Joon‐Kee, et al.. (2009). Effects of Theophylline on Radioiodide Uptake in MCF-7 Breast Cancer and NIS Gene–Transduced SNU-C5 Colon Cancer Cells. Cancer Biotherapy and Radiopharmaceuticals. 24(2). 201–208. 6 indexed citations
16.
Yoon, Joon‐Kee. (2008). Clinical Application of $^{18}F-FDG$ PET in Malignant Melanoma. Nuclear Medicine and Molecular Imaging. 42. 140–148. 1 indexed citations
17.
Yoon, Joon‐Kee. (2008). Clinical Application of $^{18}F-FDG$ PET in Breast Cancer. Nuclear Medicine and Molecular Imaging. 42. 76–90. 1 indexed citations
18.
An, Young‐Sil, et al.. (2007). 18F-FDG PET/CT in POEMS Syndrome. Nuclear Medicine and Molecular Imaging. 41(1). 66–67. 2 indexed citations
19.
An, Young‐Sil, et al.. (2007). Isolated Splenic Metastasis of Sigmoid Colon Cancer Detected by $^{18}F-FDG$ PET/CT. Nuclear Medicine and Molecular Imaging. 41(3). 263–264. 2 indexed citations
20.
Lee, Dakeun, Young Chul Kim, Kee Myung Lee, Joon‐Kee Yoon, & Young‐Bae Kim. (1970). MET-Amplified Intramucosal Gastric Cancer Widely Metastatic after Complete Endoscopic Submucosal Dissection. Cancer Research and Treatment. 47(1). 120–125. 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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