Hyun Gee Ryoo

422 total citations
19 papers, 293 citations indexed

About

Hyun Gee Ryoo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hyun Gee Ryoo has authored 19 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Hyun Gee Ryoo's work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Hyun Gee Ryoo is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Hyun Gee Ryoo collaborates with scholars based in South Korea, Puerto Rico and United States. Hyun Gee Ryoo's co-authors include Gou Young Koh, Young Jun Koh, Chung‐Hyun Cho, Injune Kim, Jinah Han, Hongyoon Choi, Gi Jeong Cheon, Dong Soo Lee, Jin Chul Paeng and Keon Wook Kang and has published in prestigious journals such as Blood, Scientific Reports and Journal of Nuclear Medicine.

In The Last Decade

Hyun Gee Ryoo

18 papers receiving 285 citations

Peers

Countries citing papers authored by Hyun Gee Ryoo

Since Specialization

Citations

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

Fields of papers citing papers by Hyun Gee Ryoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Gee Ryoo. 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 Hyun Gee Ryoo. The network helps show where Hyun Gee Ryoo may publish in the future.

Co-authorship network of co-authors of Hyun Gee Ryoo

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Gee Ryoo. A scholar is included among the top collaborators of Hyun Gee Ryoo 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 Hyun Gee Ryoo. Hyun Gee Ryoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Artificial intelligence-based CT-free quantitative thyroid SPECT for thyrotoxicosis: study protocol of a multicentre, prospective, non-inferiority study 2024 ·BMJ Open ·(unknown), Hyun Gee Ryoo, Hyun Woo Chung, Sang‐Geon Cho, (unknown), (unknown), (unknown), Jae Hoon Moon, Soyeon Ahn, Won Woo Lee	0
2	Distinct subtypes of spatial brain metabolism patterns in Alzheimer’s disease identified by deep learning-based FDG PET clusters 2023 ·European Journal of Nuclear Medicine and Molecular Imaging ·Hyun Gee Ryoo, Hongyoon Choi, Kuangyu Shi, Axel Rominger, Dong Young Lee, Dong Soo Lee, (unknown)	5
3	Deep learning signature of brain [18F]FDG PET associated with cognitive outcome of rapid eye movement sleep behavior disorder 2022 ·Scientific Reports ·Hyun Gee Ryoo, Jung‐Ick Byun, Hongyoon Choi, Ki‐Young Jung	2
4	Phase 1 Study of No-Carrier Added 177Lu-DOTATATE (SNU-KB-01) in Patients with Somatostatin Receptor–Positive Neuroendocrine Tumors: The First Clinical Trial of Peptide Receptor Radionuclide Therapy in Korea 2022 ·Cancer Research and Treatment ·Hyun Gee Ryoo, Minseok Suh, Keon Wook Kang, Dae‐Won Lee, Sae‐Won Han, Gi Jeong Cheon	4
5	Second primary malignancy risk in thyroid cancer and matched patients with and without radioiodine therapy analysis from the observational health data sciences and informatics 2022 ·European Journal of Nuclear Medicine and Molecular Imaging ·Seok Kim, Ji-In Bang, (unknown), (unknown), In Young Choi, (unknown), Ie Ryung Yoo, Kwangsoo Kim, Jun Mo Kim, (unknown), Hyun Gee Ryoo, Jin Chul Paeng, Jung Mi Park, Woncheol Jang, (unknown), (unknown), (unknown), Sooyoung Yoo, Ho‐Young Lee	18
6	Phase I Clinical Trial of Prostate-Specific Membrane Antigen-Targeting ⁶⁸Ga-NGUL PET/CT in Healthy Volunteers and Patients with Prostate Cancer 2022 ·Korean Journal of Radiology ·Minseok Suh, Hyun Gee Ryoo, Keon Wook Kang, Jae Min Jeong, Chang Wook Jeong, Cheol Kwak, Gi Jeong Cheon	5
7	Transforming Thyroid Cancer Diagnosis and Staging Information from Unstructured Reports to the Observational Medical Outcome Partnership Common Data Model 2022 ·Applied Clinical Informatics ·Sooyoung Yoo, (unknown), (unknown), (unknown), Seok Kim, Jin Chul Paeng, Ie Ryung Yoo, In Young Choi, Kwangsoo Kim, Hyun Gee Ryoo, (unknown), Eunhye Song, (unknown), Jun‐Mo Kim, Ho‐Young Lee	12
8	Quantitative salivary gland SPECT/CT using deep convolutional neural networks 2021 ·Scientific Reports ·Jun‐Young Park, Jae Sung Lee, (unknown), Hyun Gee Ryoo, Jeong Hee Han, Won Woo Lee	13
9	Head-to-Head Comparison of ⁶⁸Ga-NOTA (⁶⁸Ga-NGUL) and ⁶⁸Ga-PSMA-11 in Patients with Metastatic Prostate Cancer: A Prospective Study 2021 ·Journal of Nuclear Medicine ·Minseok Suh, Hyung‐Jun Im, Hyun Gee Ryoo, Keon Wook Kang, Jae Min Jeong, (unknown), Sanjana Ballal, Madhav Prasad Yadav, Chandrasekhar Bal, Chang Wook Jeong, Cheol Kwak, Gi Jeong Cheon	14
10	Deep learning-based interpretation of basal/acetazolamide brain perfusion SPECT leveraging unstructured reading reports 2020 ·European Journal of Nuclear Medicine and Molecular Imaging ·Hyun Gee Ryoo, Hongyoon Choi, Dong Soo Lee	8
11	Basal and Acetazolamide Brain Perfusion SPECT in Internal Carotid Artery Stenosis 2020 ·Nuclear Medicine and Molecular Imaging ·(unknown), (unknown), Hyun Gee Ryoo, Seunggyun Ha, Dong Soo Lee	6
12	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 2019 ·Nuclear Medicine and Molecular Imaging ·(unknown), Hyun Gee Ryoo, Won Woo Lee, Ji Young Kim, Eunjung Kong, Woo Hee Choi, Joon‐Kee Yoon	10
13	Comparative Analysis of Lung Perfusion Scan and SPECT/CT for the Evaluation of Functional Lung Capacity 2019 ·Nuclear Medicine and Molecular Imaging ·(unknown), Sohyun Park, Hyun Gee Ryoo, Jiyoung Kim, Tae Sung Kim, Jong Mog Lee, Moon Soo Kim, Hee Chul Yang, Seok-Ki Kim	6
14	Amyloid PET Quantification Via End-to-End Training of a Deep Learning 2019 ·Nuclear Medicine and Molecular Imaging ·(unknown), (unknown), (unknown), Hyun Gee Ryoo, (unknown), Hongyoon Choi, Jin Chul Paeng, Gi Jeong Cheon, Keon Wook Kang, Dong Soo Lee	25
15	Spleen Scan for 68Ga-DOTATOC PET-Positive Pancreatic Tail Lesion: Differential Diagnosis of Neuroendocrine Tumor from Accessory Spleen 2019 ·Nuclear Medicine and Molecular Imaging ·Hyun Gee Ryoo, Hongyoon Choi, Gi Jeong Cheon	6
16	Clinical implication of 18F-NaF PET/computed tomography indexes of aortic calcification in coronary artery disease patients: correlations with cardiovascular risk factors 2019 ·Nuclear Medicine Communications ·Hyun Gee Ryoo, Jin Chul Paeng, Bon‐Kwon Koo, Gi Jeong Cheon, Dong Soo Lee, Keon Wook Kang	2
17	Development of a deep learning-based interpretation model for brain perfusion SPECT leveraging unstructured reading reports 2019 ·Hyun Gee Ryoo, Hongyoon Choi, (unknown), Seung Kwan Kang, Jae Sung Lee, Dong Soo Lee	1
18	Adipose tissue is an extramedullary reservoir for functional hematopoietic stem and progenitor cells 2009 ·Blood ·Jinah Han, Young Jun Koh, (unknown), Hyun Gee Ryoo, Chung‐Hyun Cho, Injune Kim, Gou Young Koh	154
19	A Study on Korean Intonation Using Momel 2007 ·Sun‐Hee Kim, (unknown), Hyun Gee Ryoo, (unknown)	2

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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