Sun Ho Ahn

1.2k total citations
48 papers, 686 citations indexed

About

Sun Ho Ahn is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Sun Ho Ahn has authored 48 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 17 papers in Pulmonary and Respiratory Medicine and 10 papers in Epidemiology. Recurrent topics in Sun Ho Ahn's work include Venous Thromboembolism Diagnosis and Management (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Acute Ischemic Stroke Management (7 papers). Sun Ho Ahn is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Acute Ischemic Stroke Management (7 papers). Sun Ho Ahn collaborates with scholars based in United States, China and South Korea. Sun Ho Ahn's co-authors include Gregory Dubel, Ethan Prince, Gregory M. Soares, Steven E. Reinert, William W. Mayo-Smith, Brian L. Murphy, John J. Cronan, Timothy P. Murphy, Richard Haas and Glenn A. Tung and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Medical Image Analysis.

In The Last Decade

Sun Ho Ahn

45 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Ho Ahn United States 16 301 199 129 119 114 48 686
Gökçe Kaan Ataç Türkiye 13 141 0.5× 150 0.8× 88 0.7× 51 0.4× 78 0.7× 46 553
Itamar Ashkenazi Israel 16 450 1.5× 148 0.7× 52 0.4× 270 2.3× 75 0.7× 78 915
Hassan Saidi Kenya 17 313 1.0× 136 0.7× 43 0.3× 231 1.9× 67 0.6× 76 737
Polat Koşucu Türkiye 17 330 1.1× 288 1.4× 80 0.6× 41 0.3× 114 1.0× 55 845
Ricardo Alfici Israel 16 646 2.1× 282 1.4× 62 0.5× 240 2.0× 55 0.5× 56 990
Sean P. Wilson United States 14 264 0.9× 67 0.3× 54 0.4× 121 1.0× 80 0.7× 26 602
Marco Di Serafino Italy 16 519 1.7× 224 1.1× 32 0.2× 104 0.9× 81 0.7× 90 831
Dimitri A. Parra Canada 14 253 0.8× 162 0.8× 56 0.4× 41 0.3× 54 0.5× 63 645
Jean Morin Canada 18 312 1.0× 382 1.9× 109 0.8× 80 0.7× 157 1.4× 74 1.0k
Gregory M. Soares United States 17 350 1.2× 283 1.4× 80 0.6× 18 0.2× 77 0.7× 49 674

Countries citing papers authored by Sun Ho Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sun Ho Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun Ho Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Ho Ahn. A scholar is included among the top collaborators of Sun Ho 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 Sun Ho Ahn. Sun Ho 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.
Wang, Yuli, Sun Ho Ahn, Christopher J. Mullin, et al.. (2025). Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Medical Image Analysis. 107(Pt A). 103786–103786.
2.
Wu, Jing, Scott Collins, Grayson L. Baird, et al.. (2025). Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. npj Digital Medicine. 8(1). 432–432. 2 indexed citations
3.
Abraham, Jacob A., et al.. (2025). Single-Session Percutaneous Cholangioscopy for High-Risk Patients with Biliary Stone Disease. CardioVascular and Interventional Radiology. 49(1). 90–98.
4.
Li, Jie, Li Yang, Scott Collins, et al.. (2024). De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE Journal of Biomedical and Health Informatics. 28(6). 3732–3741. 1 indexed citations
5.
Zaki, Hossam A., et al.. (2024). The Application of Large Language Models for Radiologic Decision Making. Journal of the American College of Radiology. 21(7). 1072–1078. 10 indexed citations
7.
Baird, Grayson L., et al.. (2022). Adding non-contrast and delayed phases increases the diagnostic performance of arterial CTA for suspected active lower gastrointestinal bleeding. European Radiology. 32(7). 4638–4646. 3 indexed citations
8.
Choi, Ji Whae, Yijun Zhao, Jing Wu, et al.. (2021). Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics. Abdominal Radiology. 46(6). 2656–2664. 15 indexed citations
9.
Dibble, Elizabeth H., et al.. (2020). 3:09 PM Abstract No. 209 Diversity in interventional radiology: motivations and deterrents to interventional radiology among female and underrepresented minority medical students. Journal of Vascular and Interventional Radiology. 31(3). S95–S96. 1 indexed citations
10.
Chen, Elizabeth, et al.. (2020). Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR. Journal of Vascular and Interventional Radiology. 31(6). 1018–1024.e4. 21 indexed citations
11.
Sacks, David, Sun Ho Ahn, Mark O. Baerlocher, et al.. (2019). Society of Interventional Radiology Training Guidelines for Endovascular Stroke Treatment. Journal of Vascular and Interventional Radiology. 30(10). 1523–1531. 6 indexed citations
12.
Naeem, Muhammad, et al.. (2015). Fenoldopam for the prevention of contrast-induced nephropathy (CIN)—do we need more trials? A meta-analysis. Clinical Imaging. 39(5). 759–764. 11 indexed citations
13.
Naeem, Muhammad, et al.. (2015). Readability of Online Patient Education Materials Related to IR. Journal of Vascular and Interventional Radiology. 26(8). 1164–1168. 20 indexed citations
14.
Prince, Ethan, Gregory Dubel, & Sun Ho Ahn. (2013). Basic Neuroangiography: Review of Technique and Perioperative Patient Care. Seminars in Interventional Radiology. 30(3). 225–233. 20 indexed citations
15.
Ahn, Sun Ho, et al.. (2009). Peripheral arterial disease: update of overview and treatment.. PubMed. 92(12). 398–402. 9 indexed citations
16.
Ys, Kim, et al.. (2008). Scrub typhus as a possible aetiology of Guillain–Barré syndrome: two cases. Irish Journal of Medical Science (1971 -). 178(3). 347–350. 18 indexed citations
17.
Dubel, Gregory, et al.. (2007). Interventional Management of Arc of Buhler Aneurysm. Seminars in Interventional Radiology. 24(1). 76–81. 17 indexed citations
18.
Rogg, Jeffrey M., Sun Ho Ahn, Glenn A. Tung, Steven E. Reinert, & Georg Norén. (2005). Prevalence of hydrocephalus in 157 patients with vestibular schwannoma. Neuroradiology. 47(5). 344–351. 41 indexed citations
19.
Ahn, Sun Ho, et al.. (2002). Uptake of F-18 FDG by a Hiatal Hernia. Clinical Nuclear Medicine. 27(10). 733–734. 4 indexed citations
20.
Ahn, Sun Ho, William W. Mayo-Smith, Brian L. Murphy, Steven E. Reinert, & John J. Cronan. (2002). Acute Nontraumatic Abdominal Pain in Adult Patients: Abdominal Radiography Compared with CT Evaluation. Radiology. 225(1). 159–164. 126 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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