Su Yeon Ahn

511 total citations
21 papers, 391 citations indexed

About

Su Yeon Ahn is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Su Yeon Ahn has authored 21 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Su Yeon Ahn's work include Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). Su Yeon Ahn is often cited by papers focused on Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). Su Yeon Ahn collaborates with scholars based in South Korea, Ethiopia and United States. Su Yeon Ahn's co-authors include Jin Mo Goo, Chang Min Park, Hyungjin Kim, Jeong Min Lee, Gi Jeong Cheon, Ijin Joo, Joon Koo Han, Byung Ihn Choi, Eun Sun Lee and Soo Jin Lee and has published in prestigious journals such as PLoS ONE, American Journal of Roentgenology and Medicine.

In The Last Decade

Su Yeon Ahn

20 papers receiving 388 citations

Peers

Su Yeon Ahn
Byong Yong Yi United States
Su Yeon Ahn
Citations per year, relative to Su Yeon Ahn Su Yeon Ahn (= 1×) peers Byong Yong Yi

Countries citing papers authored by Su Yeon Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Su Yeon Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Yeon Ahn. 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 Su Yeon Ahn. The network helps show where Su Yeon Ahn may publish in the future.

Co-authorship network of co-authors of Su Yeon Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Su Yeon Ahn. A scholar is included among the top collaborators of Su Yeon Ahn 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 Su Yeon Ahn. Su Yeon Ahn 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.
Lee, Taehee, Su Yeon Ahn, Jihang Kim, et al.. (2023). Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs. European Radiology. 34(7). 4206–4217. 5 indexed citations
2.
Shin, Yoon Joo, Jeong Geun Yi, Mi Young Kim, Donghee Son, & Su Yeon Ahn. (2023). Radiologic Progression of Interstitial Lung Abnormalities following Surgical Resection in Patients with Lung Cancer. Journal of Clinical Medicine. 12(21). 6858–6858. 4 indexed citations
3.
Ahn, Su Yeon, et al.. (2023). Primary pulmonary synovial sarcoma with delayed diagnosis in a 69-year-old man: A case report. Medicine. 102(51). e36620–e36620.
4.
Chae, Kum Ju, et al.. (2023). External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic. Acta Radiologica. 64(11). 2898–2907. 2 indexed citations
5.
Shin, Yoon Joo, Jeong Geun Yi, Donghee Son, & Su Yeon Ahn. (2022). Diagnostic Accuracy and Complication of Computed Tomography (CT)-Guided Percutaneous Transthoracic Lung Biopsy in Patients 80 Years and Older. Journal of Clinical Medicine. 11(19). 5894–5894. 1 indexed citations
6.
Lee, Sang Hyup, Soon Ho Yoon, Ju Gang Nam, et al.. (2019). Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography. Korean Journal of Radiology. 20(4). 671–671. 18 indexed citations
7.
Ahn, Su Yeon, Chang Min Park, Soon Ho Yoon, Hyungjin Kim, & Jin Mo Goo. (2019). Learning Curve of C-Arm Cone-beam Computed Tomography Virtual Navigation-Guided Percutaneous Transthoracic Needle Biopsy. Korean Journal of Radiology. 20(5). 844–844. 5 indexed citations
8.
Ahn, Su Yeon, Soon Ho Yoon, Bo Ram Yang, et al.. (2018). Risk of pleural recurrence after percutaneous transthoracic needle biopsy in stage I non-small-cell lung cancer. European Radiology. 29(1). 270–278. 22 indexed citations
9.
Garzelli, Lorenzo, Jin Mo Goo, Su Yeon Ahn, et al.. (2018). Improving the prediction of lung adenocarcinoma invasive component on CT: Value of a vessel removal algorithm during software segmentation of subsolid nodules. European Journal of Radiology. 100. 58–65. 12 indexed citations
10.
Ahn, Su Yeon, Jin Mo Goo, Kyung Hee Lee, Seunggyun Ha, & Jin Chul Paeng. (2018). Monitoring tumor response to the vascular disrupting agent CKD-516 in a rabbit VX2 intramuscular tumor model using PET/MRI: Simultaneous evaluation of vascular and metabolic parameters. PLoS ONE. 13(2). e0192706–e0192706. 4 indexed citations
11.
Kim, Heekyung, Dohee Kwon, Soon Ho Yoon, et al.. (2018). Bronchovascular injury associated with clinically significant hemoptysis after CT-guided core biopsy of the lung: Radiologic and histopathologic analysis. PLoS ONE. 13(9). e0204064–e0204064. 12 indexed citations
12.
Kim, Hyungjin, Chang Min Park, Soon Ho Yoon, et al.. (2018). Open Bronchus Sign on CT: A Risk Factor for Hemoptysis after Percutaneous Transthoracic Biopsy. Korean Journal of Radiology. 19(5). 880–880. 7 indexed citations
13.
Chae, Kum Ju, Jin Mo Goo, Su Yeon Ahn, Jin Young Yoo, & Soon Ho Yoon. (2018). Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography. Korean Journal of Radiology. 19(1). 147–147. 5 indexed citations
14.
Kim, Hyungjin, Chang Min Park, Jong Hyuk Lee, et al.. (2018). Validation of prediction models for risk stratification of incidentally detected pulmonary subsolid nodules: a retrospective cohort study in a Korean tertiary medical centre. BMJ Open. 8(5). e019996–e019996. 6 indexed citations
15.
Kim, Hyungjin, Chang Min Park, Eui Jin Hwang, Su Yeon Ahn, & Jin Mo Goo. (2017). Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement. European Radiology. 28(5). 2124–2133. 24 indexed citations
16.
Ahn, Su Yeon, Chang Min Park, Yoon Kyung Jeon, et al.. (2017). Predictive CT Features of Visceral Pleural Invasion by T1-Sized Peripheral Pulmonary Adenocarcinomas Manifesting as Subsolid Nodules. American Journal of Roentgenology. 209(3). 561–566. 42 indexed citations
17.
Ahn, Su Yeon, Chang Min Park, Sang Joon Park, et al.. (2015). Prognostic Value of Computed Tomography Texture Features in Non–Small Cell Lung Cancers Treated With Definitive Concomitant Chemoradiotherapy. Investigative Radiology. 50(10). 719–725. 81 indexed citations
18.
Lee, Kyung Hee, Chang Min Park, Sang Min Lee, et al.. (2015). Pulmonary Nodule Detection in Patients with a Primary Malignancy Using Hybrid PET/MRI: Is There Value in Adding Contrast-Enhanced MR Imaging?. PLoS ONE. 10(6). e0129660–e0129660. 17 indexed citations
19.
Ahn, Su Yeon, Young So, Young Ho Choi, In Mok Jung, & Jung Kee Chung. (2015). Endovascular Recanalization of a Thrombosed Native Arteriovenous Fistula Complicated with an Aneurysm: Technical Aspects and Outcomes. Korean Journal of Radiology. 16(2). 349–349. 7 indexed citations
20.
Ahn, Su Yeon, Jeong Min Lee, Ijin Joo, et al.. (2014). Prediction of microvascular invasion of hepatocellular carcinoma using gadoxetic acid-enhanced MR and 18F-FDG PET/CT. Abdominal Imaging. 40(4). 843–851. 102 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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