Ie Ryung Yoo

1.7k total citations
90 papers, 1.3k citations indexed

About

Ie Ryung Yoo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ie Ryung Yoo has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 40 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Oncology. Recurrent topics in Ie Ryung Yoo's work include Medical Imaging Techniques and Applications (25 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Ie Ryung Yoo is often cited by papers focused on Medical Imaging Techniques and Applications (25 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Ie Ryung Yoo collaborates with scholars based in South Korea, United States and United Kingdom. Ie Ryung Yoo's co-authors include Joo Hyun O, Soo Kyo Chung, Hye Lim Park, Sung Hoon Kim, Yeon‐Sil Kim, Eun Ji Han, Young Kyoon Kim, Eun Kyoung Choi, Sung Hoon Kim and Sae Jung Na and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, American Journal of Roentgenology and Medicine.

In The Last Decade

Ie Ryung Yoo

88 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ie Ryung Yoo South Korea	21	514	495	317	317	153	90	1.3k
Francesco Fiz Italy	19	583 1.1×	435 0.9×	292 0.9×	354 1.1×	133 0.9×	95	1.2k
Ryo Toya Japan	18	545 1.1×	264 0.5×	251 0.8×	206 0.6×	118 0.8×	86	1.3k
Piera Navarria Italy	25	602 1.2×	1.0k 2.1×	285 0.9×	200 0.6×	110 0.7×	49	1.7k
Gustavo Mercier United States	20	723 1.4×	462 0.9×	339 1.1×	240 0.8×	93 0.6×	42	1.4k
Archi Agrawal India	15	318 0.6×	341 0.7×	231 0.7×	237 0.7×	66 0.4×	165	913
Minako Sumi Japan	24	409 0.8×	1.0k 2.1×	314 1.0×	658 2.1×	128 0.8×	109	1.9k
Kuo‐Yang Yen Taiwan	22	539 1.0×	378 0.8×	405 1.3×	377 1.2×	100 0.7×	71	1.3k
L. Claude France	19	517 1.0×	917 1.9×	206 0.6×	280 0.9×	127 0.8×	105	1.6k
J. Daniel United States	20	253 0.5×	427 0.9×	452 1.4×	285 0.9×	87 0.6×	105	1.3k
Valerio Nardone Italy	20	628 1.2×	465 0.9×	237 0.7×	405 1.3×	104 0.7×	105	1.3k

Countries citing papers authored by Ie Ryung Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Ie Ryung Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ie Ryung Yoo

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

All Works

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20 of 20 papers shown

Moon, Hyong Woo, et al.. (2025). 18F-florastamin positron emission tomography/computed tomography in men with clinical suspicion of prostate cancer: A phase I prospective study. Prostate International. 13(4). 239–245. 1 indexed citations

Shin, Dong‐Ho, Hyong Woo Moon, Yong Hyun Park, et al.. (2022). Irreversible electroporation for prostate cancer using PSMA PET-CT. Prostate International. 11(1). 40–45. 10 indexed citations

Choi, Woo Hee, Ie Ryung Yoo, Jae Kil Park, et al.. (2019). Prognostic value of 18F‐FDG PET parameters in patients with locally advanced non‐small cell lung cancer treated with induction chemotherapy. Asia-Pacific Journal of Clinical Oncology. 16(1). 70–74. 4 indexed citations

Park, Eunyoung, et al.. (2019). SUVmax Predicts Disease Progression after Stereotactic Ablative Radiotherapy in Stage I Non-small Cell Lung Cancer. Cancer Research and Treatment. 52(1). 85–97. 9 indexed citations

Moon, Seung Hwan, Ie Ryung Yoo, Soo Jin Lee, et al.. (2018). Prognostic Value of Baseline¹⁸F-Fluorodeoxyglucose PET/CT in Patients with Multiple Myeloma: A Multicenter Cohort Study. Korean Journal of Radiology. 19(3). 481–481. 9 indexed citations

Han, Eun Ji, Joo Hyun O, Ie Ryung Yoo, et al.. (2017). ¹⁸F-FDG PET/CT and histology for diagnosing recurrent/remnant tumors in head and neck cancer patients treated with radiotherapy.. PubMed. 20(2). 134–140. 1 indexed citations

Oh, Soon Nam, Soon Nam Oh, Moon Hyung Choi, et al.. (2016). Does the Gadoxetic Acid-Enhanced Liver MRI Impact on the Treatment of Patients with Colorectal Cancer? Comparison Study with¹⁸F-FDG PET/CT. BioMed Research International. 2016. 1–6. 12 indexed citations

Na, Sae Jung, Jin Kyoung Oh, Seung Hyup Hyun, et al.. (2016). ¹⁸F-FDG PET/CT Can Predict Survival of Advanced Hepatocellular Carcinoma Patients: A Multicenter Retrospective Cohort Study. Journal of Nuclear Medicine. 58(5). 730–736. 35 indexed citations

Park, Hye Lim, et al.. (2016). Giant Cell Tumor of the Rib: Two Cases of F-18 FDG PET/CT Findings. Nuclear Medicine and Molecular Imaging. 51(2). 182–185. 12 indexed citations

10.

Kim, In-Ho, Sook Hee Hong, Tae Jung Kim, et al.. (2016). Prognostic Impact of Multiple Clinicopathologic Risk Factors and c-MET Overexpression in Patients Who Have Undergone Resection of Stage IB Non–Small-Cell Lung Cancer. Clinical Lung Cancer. 17(5). e31–e43. 11 indexed citations

11.

Lee, Dong Soo, Seung Joon Kim, Hong Seok Jang, et al.. (2015). Clinical Correlation Between Tumor Maximal Standardized Uptake Value in Metabolic Imaging and Metastatic Tumor Characteristics in Advanced Non-small Cell Lung Cancer. Medicine. 94(32). e1304–e1304. 9 indexed citations

12.

Jang, Jinhee, Hyun Seok Choi, So Lyung Jung, et al.. (2015). The phase value of putamen measured by susceptibility weighted images in Parkinson’s disease and in other forms of Parkinsonism: a correlation study with F18 FP-CIT PET. Acta Radiologica. 57(7). 852–860. 3 indexed citations

13.

Jung, Na Young, et al.. (2014). Clinical significance of FDG-PET/CT at the postoperative surveillance in the breast cancer patients. Breast Cancer. 23(1). 141–148. 14 indexed citations

14.

Lee, Dong Soo, Yeon‐Sil Kim, Yeon‐Sil Kim, et al.. (2013). Long-term clinical experience of high-dose ablative lung radiotherapy: High pre-treatment [18F]Fluorodeoxyglucose-positron emission tomography maximal standardized uptake value of the primary tumor adversely affects treatment outcome. Lung Cancer. 80(2). 172–178. 20 indexed citations

15.

Lee, Jieun, Jung Oh Kim, Chan Kwon Jung, et al.. (2013). Metabolic Activity on [18F]-Fluorodeoxyglucose-Positron Emission Tomography/Computed Tomography and Glucose Transporter-1 Expression Might Predict Clinical Outcomes in Patients With Limited Disease Small-Cell Lung Cancer Who Receive Concurrent Chemoradiation. Clinical Lung Cancer. 15(2). e13–e21. 15 indexed citations

16.

Yoo, Ie Ryung, et al.. (2013). Role of 18F-FDG PET/CT in differentiation of a benign lesion and metastasis on the ribs of cancer patients. Clinical Imaging. 38(2). 109–114. 17 indexed citations

17.

Song, Myeong Jun, Si Hyun Bae, Ie Ryung Yoo, et al.. (2012). Predictive value of ¹⁸F-fluorodeoxyglucose PET/CT for transarterial chemolipiodolization of hepatocellular carcinoma.. PubMed. 18(25). 3215–22. 38 indexed citations

18.

Choi, Woo Hee, et al.. (2011). The value of dual-time-point¹⁸F-FDG PET/CT for identifying axillary lymph node metastasis in breast cancer patients. British Journal of Radiology. 84(1003). 593–599. 31 indexed citations

19.

Na, Sae Jung, Ie Ryung Yoo, Joo Hyun O, et al.. (2011). Diagnostic accuracy of 18F-fluorodeoxyglucose positron emission tomography/computed tomography in differentiated thyroid cancer patients with elevated thyroglobulin and negative 131I whole body scan: evaluation by thyroglobulin level. Annals of Nuclear Medicine. 26(1). 26–34. 35 indexed citations

20.

Yoo, Ie Ryung, Yong An Chung, Young Ha Park, et al.. (2009). Influence of thyroid-stimulating hormone on 18F-fluorodeoxyglucose and 99mTc-methoxyisobutylisonitrile uptake in human poorly differentiated thyroid cancer cells in vitro. Annals of Nuclear Medicine. 23(2). 131–136. 8 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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