Young Joo Suh
About
Young Joo Suh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Young Joo Suh has authored 127 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Cardiology and Cardiovascular Medicine and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Young Joo Suh's work include Cardiac Imaging and Diagnostics (57 papers), Advanced X-ray and CT Imaging (36 papers) and Cardiac Valve Diseases and Treatments (24 papers). Young Joo Suh is often cited by papers focused on Cardiac Imaging and Diagnostics (57 papers), Advanced X-ray and CT Imaging (36 papers) and Cardiac Valve Diseases and Treatments (24 papers). Young Joo Suh collaborates with scholars based in South Korea, United States and Ethiopia. Young Joo Suh's co-authors include Byoung Wook Choi, Young Jin Kim, Jin Hur, Hye‐Jeong Lee, Yoo Jin Hong, Kyunghwa Han, Dong Jin Im, Jin Young Kim, Suyon Chang and Soon Ho Yoon and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
In The Last Decade
Young Joo Suh
117 papers receiving 2.4k citations
Peers
Young Joo Suh
Jean‐François Deux France
Riccardo Faletti Italy
Damiano Caruso Italy
Marc Faraggi France
Saeed Mirsadraee United Kingdom
Gorka Bastarrika Spain
Lawrence V. Hofmann United States
Simone Maurea Italy
Paolo Fonio Italy
Chin A Yi South Korea
Citations per year, relative to Young Joo Suh Young Joo Suh (= 1×)
peers
Jean‐François Deux
Countries citing papers authored by Young Joo Suh
Since
Specialization
Citations
This map shows the geographic impact of Young Joo Suh'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 Young Joo Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Joo Suh more than expected).
Fields of papers citing papers by Young Joo Suh
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Young Joo Suh. 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 Young Joo Suh. The network helps show where Young Joo Suh may publish in the future.
Co-authorship network of co-authors of Young Joo Suh
This figure shows the co-authorship network connecting the top 25 collaborators of Young Joo Suh. A scholar is included among the top collaborators of Young Joo Suh 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 Young Joo Suh. Young Joo Suh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Seo, Jiwon, Kyu Kim, Iksung Cho, et al.. (2025). Left Atrial Appendage Characteristics Assessed with Cardiac Computed Tomography in Patients with Atrial Fibrillation and Severe Mitral Valve Disease. Yonsei Medical Journal. 66(9). 529–529.
2.
Kim, Cherry, Hangseok Choi, Jin Young Kim, et al.. (2025). Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study. Korean Journal of Radiology. 26(8). 759–759.
3.
Suh, Young Joo, Kyunghwa Han, Hwiyoung Kim, et al.. (2024). Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas. Yonsei Medical Journal. 65(3). 163–163.
4.
Shin, Ju Hye, Mi Hwa Shin, Song Yee Kim, et al.. (2024). Regenerative Capacity of Alveolar Type 2 Cells Is Proportionally Reduced Following Disease Progression in Idiopathic Pulmonary Fibrosis-Derived Organoid Cultures. Tuberculosis & respiratory diseases. 88(1). 130–137.
5.
Soh, Sarah, Young Joo Suh, Suji Lee, et al.. (2024). Prognostic value of CT body composition analysis for 1-year mortality after transcatheter aortic valve replacement. European Radiology. 35(1). 244–254.
6.
Suh, Young Joo, et al.. (2023). A Modified Length-Based Grading Method for Assessing Coronary Artery Calcium Severity on Non-Electrocardiogram-Gated Chest Computed Tomography: A Multiple-Observer Study. Korean Journal of Radiology. 24(4). 284–284.
7.
Suh, Young Joo, Cherry Kim, June‐Goo Lee, et al.. (2022). Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT. European Radiology. 33(2). 1254–1265.
8.
Chang, Suyon, Kyunghwa Han, Suji Lee, et al.. (2022). Automated Measurement of Native T1 and Extracellular Volume Fraction in Cardiac Magnetic Resonance Imaging Using a Commercially Available Deep Learning Algorithm. Korean Journal of Radiology. 23(12). 1251–1251.
9.
Kim, Jin Young, Kyunghwa Han, & Young Joo Suh. (2021). Prevalence of abnormal cardiovascular magnetic resonance findings in recovered patients from COVID-19: a systematic review and meta-analysis. Journal of Cardiovascular Magnetic Resonance. 23(1). 100–100.
10.
Kim, Jin Young, Mu Sook Lee, Ji Yeon Lee, et al.. (2020). Characteristics of COVID-19 Patients Who Progress to Pneumonia on Follow-Up Chest Radiograph: 236 Patients from a Single Isolated Cohort in Daegu, South Korea. Korean Journal of Radiology. 21(11). 1265–1265.
11.
Im, Dong Jin, Jong‐Chan Youn, Hye‐Jeong Lee, et al.. (2020). Role of Cardiac Computed Tomography for Etiology Evaluation of Newly Diagnosed Heart Failure with Reduced Ejection Fraction. Journal of Clinical Medicine. 9(7). 2270–2270.
12.
Yoon, Soon Ho, Sang Min Lee, Chul Hwan Park, et al.. (2020). 2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology. Korean Journal of Radiology. 22(2). 263–263.
13.
Suh, Young Joo, Hyunsook Hong, Mickaël Ohana, et al.. (2020). Pulmonary Embolism and Deep Vein Thrombosis in COVID-19: A Systematic Review and Meta-Analysis. Radiology. 298(2). E70–E80.
14.
Lee, Kyung Hee, Kun Young Lim, Young Joo Suh, et al.. (2019). Diagnostic Accuracy of Percutaneous Transthoracic Needle Lung Biopsies: A Multicenter Study. Korean Journal of Radiology. 20(8). 1300–1300.
15.
Kim, Jin Young, Young Joo Suh, Kyunghwa Han, Young Jin Kim, & Byoung Wook Choi. (2019). Diagnostic Value of Advanced Imaging Modalities for the Detection and Differentiation of Prosthetic Valve Obstruction. JACC. Cardiovascular imaging. 12(11). 2182–2192.
16.
Suh, Young Joo, Hyun-Ju Lee, Se Woo Kim, et al.. (2019). A Novel Algorithm to Differentiate Between Multiple Primary Lung Cancers and Intrapulmonary Metastasis in Multiple Lung Cancers With Multiple Pulmonary Sites of Involvement. Journal of Thoracic Oncology. 15(2). 203–215.
17.
Kim, Hyungjin, Jin Mo Goo, Young Joo Suh, Chang Min Park, & Young Tae Kim. (2018). Implication of total tumor size on the prognosis of patients with clinical stage IA lung adenocarcinomas appearing as part-solid nodules: Does only the solid portion size matter?. European Radiology. 29(3). 1586–1594.
18.
Youn, Jong‐Chan, Yoo Jin Hong, Hye‐Jeong Lee, et al.. (2017). Contrast-enhanced T1 mapping-based extracellular volume fraction independently predicts clinical outcome in patients with non-ischemic dilated cardiomyopathy: a prospective cohort study. European Radiology. 27(9). 3924–3933.
19.
Chang, Suyon, Jin Hur, Dong Jin Im, et al.. (2016). Volume-based quantification using dual-energy computed tomography in the differentiation of thymic epithelial tumours: an initial experience. European Radiology. 27(5). 1992–2001.
20.
Suh, Young Joo, Myung‐Joon Kim, & Mi‐Jung Lee. (2013). Increased 18F-FDG Uptake by a Retroperitoneal Mature Cystic Teratoma in an Infant. Clinical Nuclear Medicine. 39(4). 352–354.
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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