Inseon Ryoo

1.2k total citations
50 papers, 929 citations indexed

About

Inseon Ryoo is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Inseon Ryoo has authored 50 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Surgery and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Inseon Ryoo's work include MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Glioma Diagnosis and Treatment (9 papers). Inseon Ryoo is often cited by papers focused on MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Glioma Diagnosis and Treatment (9 papers). Inseon Ryoo collaborates with scholars based in South Korea, Japan and United States. Inseon Ryoo's co-authors include Ji‐hoon Kim, Seung Hong Choi, Chul‐Ho Sohn, Soo Chin Kim, Sang‐il Suh, Seung Chai Jung, Tae Jin Yun, Sung‐Hye Park, Jeong A Yeom and Chul‐Kee Park and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Inseon Ryoo

45 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inseon Ryoo South Korea 18 533 353 215 145 128 50 929
Yangsean Choi South Korea 17 369 0.7× 75 0.2× 180 0.8× 175 1.2× 92 0.7× 54 729
Ian Kamaly-Asl United Kingdom 15 201 0.4× 274 0.8× 92 0.4× 83 0.6× 83 0.6× 42 737
Gada Gaballa Egypt 12 467 0.9× 132 0.4× 182 0.8× 30 0.2× 86 0.7× 13 787
Shunsuke Tsuzuki Japan 16 204 0.4× 242 0.7× 204 0.9× 48 0.3× 231 1.8× 79 824
Ryo Kurokawa Japan 15 227 0.4× 137 0.4× 141 0.7× 61 0.4× 100 0.8× 124 829
Yi Kyung Kim South Korea 14 313 0.6× 114 0.3× 138 0.6× 38 0.3× 85 0.7× 33 632
Reinhart A. Sweeney Germany 25 583 1.1× 132 0.4× 312 1.5× 135 0.9× 539 4.2× 54 1.7k
Komal Shah United States 16 202 0.4× 327 0.9× 128 0.6× 249 1.7× 132 1.0× 38 937
Dairong Cao China 16 468 0.9× 413 1.2× 108 0.5× 23 0.2× 120 0.9× 88 849
Benita Tamrazi United States 19 243 0.5× 472 1.3× 79 0.4× 82 0.6× 160 1.3× 60 913

Countries citing papers authored by Inseon Ryoo

Since Specialization
Citations

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

Fields of papers citing papers by Inseon Ryoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inseon Ryoo

This figure shows the co-authorship network connecting the top 25 collaborators of Inseon Ryoo. A scholar is included among the top collaborators of Inseon 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 Inseon Ryoo. Inseon Ryoo 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.
Choi, Hye Jeong, Sung‐Hye You, Kyung‐Sook Yang, et al.. (2024). Bright diffusion sign: A sensitive and specific radiologic biomarker for multinodular and vacuolating neuronal tumor. Journal of Neuroradiology. 51(4). 101171–101171. 3 indexed citations
2.
Choi, Dongjun, Leonard Sunwoo, Sung‐Hye You, Kyong Joon Lee, & Inseon Ryoo. (2023). Application of symmetry evaluation to deep learning algorithm in detection of mastoiditis on mastoid radiographs. Scientific Reports. 13(1). 5337–5337. 2 indexed citations
3.
Jung, Hye Na, Sang‐il Suh, Inseon Ryoo, & In Seong Kim. (2021). Usefulness of 3D High-resolution Vessel Wall MRI in Diffuse Nonaneurysmal SAH Patients. Clinical Neuroradiology. 31(4). 1071–1081. 9 indexed citations
4.
Pak, Kyoungjune, Tae Jin Yun, Eun Kyoung Lee, et al.. (2020). Diagnostic Accuracy and Confidence of [18F] FDG PET/MRI in comparison with PET or MRI alone in Head and Neck Cancer. Scientific Reports. 10(1). 9490–9490. 18 indexed citations
5.
Jung, Hye Na, Sung Tae Kim, Doo‐Sik Kong, Sang‐il Suh, & Inseon Ryoo. (2020). Rathke Cleft Cysts with Apoplexy-Like Symptoms: Clinicoradiologic Comparisons with Pituitary Adenomas with Apoplexy. World Neurosurgery. 142. e1–e9. 7 indexed citations
6.
Lee, Kyong Joon, Inseon Ryoo, Dongjun Choi, et al.. (2020). Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid. PLoS ONE. 15(11). e0241796–e0241796. 11 indexed citations
7.
Ahn, Hye Shin, Dong Wook Kim, Yoo Jin Lee, et al.. (2018). Postoperative Neck Ultrasonography Surveillance After Thyroidectomy in Patients With Medullary Thyroid Carcinoma: A Multicenter Study. Frontiers in Endocrinology. 9. 102–102. 1 indexed citations
8.
Kim, Soo Chin, et al.. (2018). Long-Term Ultrasound Follow-Up of Incidentally Detected Thyroglossal Duct Cysts in Adults. American Journal of Neuroradiology. 39(12). 2356–2359. 3 indexed citations
10.
Baek, Hye Jin, Dong Wook Kim, Inseon Ryoo, et al.. (2017). Postoperative ultrasonography surveillance in patients with follicular thyroid carcinoma: a multicenter study. La radiologia medica. 122(7). 530–537. 5 indexed citations
12.
Kim, Soo Chin, Ji‐hoon Kim, Seung Hong Choi, et al.. (2016). Off-site evaluation of three-dimensional ultrasound for the diagnosis of thyroid nodules: comparison with two-dimensional ultrasound. European Radiology. 26(10). 3353–3360. 19 indexed citations
13.
Ryoo, Inseon, Hyuk Nam Kwon, Soo Chin Kim, et al.. (2016). Metabolomic analysis of percutaneous fine-needle aspiration specimens of thyroid nodules: Potential application for the preoperative diagnosis of thyroid cancer. Scientific Reports. 6(1). 30075–30075. 37 indexed citations
14.
Yi, Kyung Sik, Ji‐hoon Kim, Dong Gyu Na, et al.. (2015). Usefulness of Core Needle Biopsy for Thyroid Nodules with Macrocalcifications: Comparison with Fine-Needle Aspiration. Thyroid. 25(6). 657–664. 34 indexed citations
15.
Kim, Soo Chin, Sun‐Won Park, Inseon Ryoo, et al.. (2014). Contrast-Enhanced FLAIR (Fluid-Attenuated Inversion Recovery) for Evaluating Mild Traumatic Brain Injury. PLoS ONE. 9(7). e102229–e102229. 23 indexed citations
17.
Kim, Hyungjin, Seung Hong Choi, Ji‐hoon Kim, et al.. (2013). Gliomas: Application of Cumulative Histogram Analysis of Normalized Cerebral Blood Volume on 3 T MRI to Tumor Grading. PLoS ONE. 8(5). e63462–e63462. 36 indexed citations
18.
Jung, Seung Chai, Seung Hong Choi, Jeong A Yeom, et al.. (2013). Cerebral Blood Volume Analysis in Glioblastomas Using Dynamic Susceptibility Contrast-Enhanced Perfusion MRI: A Comparison of Manual and Semiautomatic Segmentation Methods. PLoS ONE. 8(8). e69323–e69323. 43 indexed citations
20.
Ryoo, Inseon, Jeong Min Lee, Yong Eun Chung, et al.. (2010). Gadobutrol-enhanced, Three-Dimensional, Dynamic MR Imaging With MR Cholangiography for the Preoperative Evaluation of Bile Duct Cancer. Investigative Radiology. 45(4). 217–224. 36 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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