Jang Yoo

500 total citations
41 papers, 332 citations indexed

About

Jang Yoo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jang Yoo has authored 41 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Jang Yoo's work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging and Pathology Studies (5 papers). Jang Yoo is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging and Pathology Studies (5 papers). Jang Yoo collaborates with scholars based in South Korea, United States and Ethiopia. Jang Yoo's co-authors include Joon Young Choi, Byung‐Tae Kim, Kyung-Han Lee, Soo Bin Park, Yearn Seong Choe, Bom Sahn Kim, Seung Hwan Moon, Hai‐Jeon Yoon, Duk Soo Bae and Myung‐Ju Ahn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jang Yoo

38 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jang Yoo South Korea 12 165 112 92 67 44 41 332
Fabian Steinkohl Austria 11 106 0.6× 160 1.4× 73 0.8× 115 1.7× 18 0.4× 28 382
Kotaro Yoshio Japan 12 89 0.5× 93 0.8× 80 0.9× 74 1.1× 62 1.4× 33 317
M. Terroir France 14 121 0.7× 97 0.9× 86 0.9× 166 2.5× 15 0.3× 23 424
Takashi Togawa Japan 10 154 0.9× 70 0.6× 117 1.3× 142 2.1× 80 1.8× 35 363
Benjapa Khiewvan Thailand 9 182 1.1× 135 1.2× 50 0.5× 59 0.9× 52 1.2× 17 350
Andrei Lebovici Romania 12 310 1.9× 149 1.3× 93 1.0× 93 1.4× 27 0.6× 44 464
Hye Lim Park South Korea 12 108 0.7× 129 1.2× 122 1.3× 107 1.6× 8 0.2× 36 316
Thomas Zarampoukas Greece 8 65 0.4× 70 0.6× 40 0.4× 135 2.0× 19 0.4× 18 363
Raffaele Natella Italy 11 147 0.9× 71 0.6× 31 0.3× 116 1.7× 7 0.2× 20 342
Sharjeel Usmani Kuwait 10 193 1.2× 148 1.3× 98 1.1× 94 1.4× 4 0.1× 98 394

Countries citing papers authored by Jang Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Jang Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jang Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Jang Yoo. A scholar is included among the top collaborators of Jang Yoo 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 Jang Yoo. Jang Yoo 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.
Yoo, Jang, et al.. (2024). Prognostic Significance of 18F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Undergoing Curative Surgery. Clinical Nuclear Medicine. 49(10). 909–916. 3 indexed citations
2.
Park, Yongjin, Seung Hwan Moon, Inki Lee, et al.. (2024). 18F-FDOPA PET/CT in Oncology: Procedural Guideline by the Korean Society of Nuclear Medicine. Nuclear Medicine and Molecular Imaging. 59(1). 41–49.
3.
4.
Shim, Kyu-Hwan, et al.. (2023). Double Mutations in a Patient with Early-Onset Alzheimer’s Disease in Korea: An APP Val551Met and a PSEN2 His169Asn. International Journal of Molecular Sciences. 24(8). 7446–7446. 2 indexed citations
5.
6.
Yoo, Jang, et al.. (2023). 18F-FDG PET/CT and Whole-Body Bone Scan Findings in Gorlin–Goltz Syndrome. Diagnostics. 13(13). 2239–2239. 2 indexed citations
7.
8.
Yoo, Jang, et al.. (2022). Visualization of Dialysis-Related Amyloid Arthropathy on 18F-FDG PET-CT Scan. Diagnostics. 12(1). 113–113.
9.
Yoo, Jang, et al.. (2022). Lymphoma total lesion glycolysis leads to hyperlactatemia and reduction of brain glucose utilization. Scientific Reports. 12(1). 12639–12639. 1 indexed citations
10.
11.
Yoo, Jang, Bom Sahn Kim, Jin Chung, & Hai‐Jeon Yoon. (2018). Clinical value of delayed 18F-FDG PET/CT for predicting nipple-areolar complex involvement in breast cancer: A comparison with clinical symptoms and breast MRI. PLoS ONE. 13(9). e0203649–e0203649. 4 indexed citations
12.
Yoo, Jang, Bom Sahn Kim, & Hai‐Jeon Yoon. (2018). Predictive significance of breast-specific gamma imaging for upstaging core-needle biopsy-detected ductal carcinoma in situ to invasive cancer. Annals of Nuclear Medicine. 32(5). 328–336. 2 indexed citations
13.
Yoo, Jang, Bom Sahn Kim, & Hai‐Jeon Yoon. (2018). Predictive value of primary tumor parameters using 18F-FDG PET/CT for occult lymph node metastasis in breast cancer with clinically negative axillary lymph node. Annals of Nuclear Medicine. 32(9). 642–648. 12 indexed citations
14.
Yoon, Hai‐Jeon, et al.. (2018). Prognostic value of diffuse splenic FDG uptake on PET/CT in patients with gastric cancer. PLoS ONE. 13(4). e0196110–e0196110. 17 indexed citations
15.
Kim, Bom Sahn, et al.. (2017). Glucose metabolism of visceral adipose tissue measured by 18F-FDG PET/CT is related to the presence of colonic adenoma. Medicine. 96(25). e7156–e7156. 4 indexed citations
16.
Park, Soo Bin, Joon Young Choi, Eun Jeong Lee, et al.. (2012). Diagnostic Criteria on 18F-FDG PET/CT for Differentiating Benign from Malignant Focal Hypermetabolic Lesions of Parotid Gland. Nuclear Medicine and Molecular Imaging. 46(2). 95–101. 14 indexed citations
17.
Yoo, Jang, Joon Young Choi, Kyu Taek Lee, et al.. (2012). Prognostic Significance of Volume-based Metabolic Parameters by 18F-FDG PET/CT in Gallbladder Carcinoma. Nuclear Medicine and Molecular Imaging. 46(3). 201–206. 29 indexed citations
18.
Choi, Joon Young, Jae Hoon Chung, Ji Young Lee, et al.. (2011). Differential Findings of Tc-99m Sestamibi Dual-Phase Parathyroid Scintigraphy Between Benign and Malignant Parathyroid Lesions in Patients with Primary Hyperparathyroidism. Nuclear Medicine and Molecular Imaging. 45(4). 276–284. 13 indexed citations
19.
Choi, Joon Young, Jang Yoo, Ji Young Lee, et al.. (2011). Incidental Focal 18F-FDG Uptake in the Prostate: Clinical Significance and Differential Diagnostic Criteria. Nuclear Medicine and Molecular Imaging. 45(3). 192–196. 21 indexed citations
20.
Yoo, Jang, et al.. (1998). Sequential Changes of Sonographic and Computed Tomography Findings in the Normal Rabbit Liver After Percutaneous Ethanol Injection. Investigative Radiology. 33(10). 723–729. 5 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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