Jaeseung Shin

1.5k total citations · 1 hit paper
54 papers, 1.0k citations indexed

About

Jaeseung Shin is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jaeseung Shin has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Hepatology, 20 papers in Epidemiology and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jaeseung Shin's work include Hepatocellular Carcinoma Treatment and Prognosis (25 papers), Liver Disease Diagnosis and Treatment (19 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Jaeseung Shin is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (25 papers), Liver Disease Diagnosis and Treatment (19 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Jaeseung Shin collaborates with scholars based in South Korea, United States and Israel. Jaeseung Shin's co-authors include Sung‐Won Kim, Jin‐Young Choi, Sunyoung Lee, Ji-Hyuk Park, Myeong‐Jin Kim, Joon Seok Lim, Gi Hong Choi, Do Young Kim, Donghyok Kwon and Seung-Ki Youn and has published in prestigious journals such as Scientific Reports, Radiology and Clinical Cancer Research.

In The Last Decade

Jaeseung Shin

49 papers receiving 1.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy

2022 140 citations Jaeseung Shin, Nieun Seo et al. Radiology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jaeseung Shin	492	367	250	191	139	54	1.0k
Andrea Iannone	135 0.3×	121 0.3×	367 1.5×	410 2.1×	64 0.5×	70	1.3k
Jae Geun Lee	54 0.1×	343 0.9×	191 0.8×	80 0.4×	50 0.4×	127	970
Zhongwei Zhang	117 0.2×	32 0.1×	186 0.7×	76 0.4×	86 0.6×	80	882
Jesica Makanyanga	200 0.4×	22 0.1×	530 2.1×	111 0.6×	447 3.2×	26	1.5k
Jeong‐Sik Byeon	84 0.2×	25 0.1×	369 1.5×	373 2.0×	84 0.6×	60	1.3k
Kenneth M. Klein	58 0.1×	279 0.8×	224 0.9×	109 0.6×	50 0.4×	42	873
Annamaria Pronio	126 0.3×	18 0.0×	271 1.1×	169 0.9×	48 0.3×	53	1.2k
Chen‐Shuan Chung	51 0.1×	96 0.3×	141 0.6×	114 0.6×	32 0.2×	85	896
Yuliang Liu	95 0.2×	60 0.2×	252 1.0×	64 0.3×	173 1.2×	48	982
Karen Modesto	172 0.3×	65 0.2×	239 1.0×	144 0.8×	227 1.6×	24	996

Countries citing papers authored by Jaeseung Shin

Since Specialization

Citations

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

Fields of papers citing papers by Jaeseung Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeseung Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jaeseung Shin. A scholar is included among the top collaborators of Jaeseung Shin 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 Jaeseung Shin. Jaeseung Shin 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

Shin, Jaeseung, et al.. (2025). LI-RADS CT/MRI Treatment Response Assessment Update in 2024. PubMed. 86(3). 352–352. 1 indexed citations

Lee, Sunyoung, Ja Kyung Yoon, Jaeseung Shin, et al.. (2025). US Liver Imaging Reporting and Data System Version 2017: A Systematic Review and Meta-Analysis. Radiology. 314(3). e240450–e240450.

Park, Jae Hyon, Myung Ji Goh, Dong Hyun Sinn, Jaeseung Shin, & Hyungjin Rhee. (2025). Predicting early progression to atezolizumab–bevacizumab in hepatocellular carcinoma: a clinical and imaging-based scoring system. European Radiology.

Lee, Jeong Hyun, Jaeseung Shin, Ji Hye Min, et al.. (2024). Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features. Cancer Imaging. 24(1). 6–6. 7 indexed citations

Yoon, Ja Kyung, Yong Eun Chung, Jaeseung Shin, et al.. (2024). Image Quality and Focal Lesion Detectability Analysis of Multiband Variable-Rate Selective Excitation Diffusion-Weighted Imaging of the Liver Using 3.0-T MRI. Investigative Magnetic Resonance Imaging. 28(1). 8–8.

Lee, Jeong Hyun, Jaeseung Shin, Jeong Ah Hwang, et al.. (2024). Using GPT‐4 for LI‐RADS feature extraction and categorization with multilingual free‐text reports. Liver International. 44(7). 1578–1587. 22 indexed citations

Lee, Sunyoung, Yeun‐Yoon Kim, Jaeseung Shin, et al.. (2024). Performance of LI-RADS category 5 vs combined categories 4 and 5: a systemic review and meta-analysis. European Radiology. 34(11). 7025–7040. 5 indexed citations

Park, Sung Yong, Jaeseung Shin, Yeong Jeong Jeon, et al.. (2024). Surgical outcomes and survival following esophagectomy for squamous cell carcinoma with or without liver cirrhosis: retrospective cohort study. International Journal of Surgery. 110(5). 2894–2901. 2 indexed citations

Lee, Doo Young, Jaeseung Shin, Sung‐Won Kim, et al.. (2023). Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms. European Radiology. 34(2). 1222–1231. 6 indexed citations

10.

Shin, Jaeseung, Sunyoung Lee, Ja Kyung Yoon, & Yun Ho Roh. (2023). Diagnostic Performance of the 2018 EASL vs. LI‐RADS for Hepatocellular Carcinoma Using CT and MRI: A Systematic Review and Meta‐Analysis of Comparative Studies. Journal of Magnetic Resonance Imaging. 58(6). 1942–1950. 5 indexed citations

11.

Yu, Jeong Il, Hee Chul Park, Sung Wook Shin, et al.. (2023). External validation of subclassification system and progression pattern analysis in hepatocelluar carcinoma with macroscopic vascular invasion. Radiotherapy and Oncology. 187. 109841–109841.

12.

Shin, Jaeseung, Sunyoung Lee, Ja Kyung Yoon, et al.. (2022). Diagnostic Performance of LI-RADS v2018 versus KLCA-NCC 2018 Criteria for Hepatocellular Carcinoma Using Magnetic Resonance Imaging with Hepatobiliary Agent: A Systematic Review and Meta-Analysis of Comparative Studies. Gut and Liver. 17(3). 466–474. 3 indexed citations

13.

Kim, Yeun‐Yoon, Sunyoung Lee, Jaeseung Shin, et al.. (2022). Diagnostic performance of CT versus MRI Liver Imaging Reporting and Data System category 5 for hepatocellular carcinoma: a systematic review and meta-analysis of comparative studies. European Radiology. 32(10). 6723–6729. 9 indexed citations

14.

Lee, Sunyoung, et al.. (2021). LI-RADS Version 2018 Treatment Response Algorithm: Diagnostic Performance after Transarterial Radioembolization for Hepatocellular Carcinoma. Korean Journal of Radiology. 22(8). 1279–1279. 11 indexed citations

15.

Shin, Jaeseung, Sunyoung Lee, Ja Kyung Yoon, et al.. (2021). LI‐RADS Major Features on MRI for Diagnosing Hepatocellular Carcinoma: A Systematic Review and Meta‐Analysis. Journal of Magnetic Resonance Imaging. 54(2). 518–525. 22 indexed citations

16.

Lee, Sunyoung, Yeun‐Yoon Kim, Jaeseung Shin, et al.. (2020). CT and MRI Liver Imaging Reporting and Data System Version 2018 for Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis. Journal of the American College of Radiology. 17(10). 1199–1206. 48 indexed citations

17.

Kim, Sung‐Won, Jaeseung Shin, Do Young Kim, et al.. (2019). Radiomics on Gadoxetic Acid–Enhanced Magnetic Resonance Imaging for Prediction of Postoperative Early and Late Recurrence of Single Hepatocellular Carcinoma. Clinical Cancer Research. 25(13). 3847–3855. 155 indexed citations

18.

Shin, Jaeseung, et al.. (2016). Consecutive Outbreaks of Enterotoxigenic Escherichia coli O6 in Schools in South Korea Caused by Contamination of Fermented Vegetable Kimchi. Foodborne Pathogens and Disease. 13(10). 535–543. 31 indexed citations

19.

Park, Ji-Hyuk, et al.. (2015). Three Gastroenteritis Outbreaks in South Korea Caused by the Consumption of Kimchi Tainted by Norovirus GI.4. Foodborne Pathogens and Disease. 12(3). 221–227. 26 indexed citations

20.

Park, Ji-Hyuk, et al.. (2014). Diarrheal Outbreak Caused by Atypical Enteropathogenic Escherichia coli O157:H45 in South Korea. Foodborne Pathogens and Disease. 11(10). 775–781. 20 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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