Sung Soo Ahn

6.4k total citations
173 papers, 4.1k citations indexed

About

Sung Soo Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sung Soo Ahn has authored 173 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 76 papers in Genetics and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sung Soo Ahn's work include Glioma Diagnosis and Treatment (75 papers), Radiomics and Machine Learning in Medical Imaging (75 papers) and MRI in cancer diagnosis (36 papers). Sung Soo Ahn is often cited by papers focused on Glioma Diagnosis and Treatment (75 papers), Radiomics and Machine Learning in Medical Imaging (75 papers) and MRI in cancer diagnosis (36 papers). Sung Soo Ahn collaborates with scholars based in South Korea, United States and Norway. Sung Soo Ahn's co-authors include Seung‐Koo Lee, Se Hoon Kim, Jong Hee Chang, Yae Won Park, Seok‐Gu Kang, Yoon Seong Choi, Kyunghwa Han, Eui Hyun Kim, Sohi Bae and Myeong‐Jin Kim and has published in prestigious journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sung Soo Ahn

159 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Soo Ahn South Korea 35 2.3k 1.5k 934 742 625 173 4.1k
Ho Sung Kim South Korea 42 3.7k 1.6× 2.1k 1.3× 1.1k 1.2× 757 1.0× 848 1.4× 233 5.8k
Sotirios Bisdas Germany 40 3.0k 1.3× 1.2k 0.8× 596 0.6× 608 0.8× 475 0.8× 198 5.0k
Wenya Linda Bi United States 35 1.5k 0.7× 1.6k 1.1× 1.2k 1.2× 1.6k 2.1× 1.1k 1.8× 184 5.4k
Daniel P. Barboriak United States 35 1.9k 0.9× 812 0.5× 578 0.6× 451 0.6× 623 1.0× 82 3.6k
Philipp Kickingereder Germany 37 3.6k 1.6× 2.0k 1.3× 1.0k 1.1× 622 0.8× 554 0.9× 115 5.3k
Rajan Jain United States 47 3.1k 1.3× 2.9k 1.9× 1.0k 1.1× 775 1.0× 1.4k 2.2× 164 6.4k
Roland Hustinx Belgium 38 2.8k 1.2× 323 0.2× 1.5k 1.6× 781 1.1× 661 1.1× 150 5.6k
Edmond A. Knopp United States 28 2.9k 1.3× 2.5k 1.6× 690 0.7× 461 0.6× 618 1.0× 53 4.7k
Ganesh Rao United States 47 1.2k 0.5× 2.2k 1.4× 1.3k 1.4× 898 1.2× 601 1.0× 193 6.7k
Omar Arnaout United States 22 1.2k 0.5× 375 0.2× 700 0.7× 396 0.5× 592 0.9× 67 3.0k

Countries citing papers authored by Sung Soo Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sung Soo Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Soo Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Soo Ahn. A scholar is included among the top collaborators of Sung Soo 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 Sung Soo Ahn. Sung Soo 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.
Kickingereder, Philipp, Philipp Karschnia, Felix Sahm, et al.. (2025). A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part I-Essential Information on Preoperative and Immediate Postoperative Imaging. Korean Journal of Radiology. 26(3). 246–246. 3 indexed citations
2.
Kickingereder, Philipp, Philipp Karschnia, Felix Sahm, et al.. (2025). A Radiologist’s Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II–Essential Information on Post-Treatment Imaging. Korean Journal of Radiology. 26(4). 368–368. 1 indexed citations
3.
Kim, Kyungwon, Dong Woo Kim, Minho Lee, et al.. (2025). 68Ga-DOTATOC PET/CT in the Localization of Pituitary Tumors in Cushing’s Disease. Endocrinology and Metabolism. 40(4). 637–647.
4.
Park, Ji Eun, Seo Young Park, Seunghee Baek, et al.. (2025). Maximum Resection of Noncontrast-enhanced Tumor at MRI Is a Favorable Prognostic Factor in IDH Wild-Type Glioblastoma. Radiology. 315(2). e241393–e241393.
5.
Sim, Yongsik, Andrew C. McClelland, Kyunghwa Han, et al.. (2025). A comprehensive multicenter analysis of clinical, molecular, and imaging characteristics and outcomes of H3 K27–altered diffuse midline glioma in adults. Journal of neurosurgery. 142(5). 1307–1318. 1 indexed citations
6.
Park, Chae Jung, Kyunghwa Han, Sung Soo Ahn, et al.. (2024). Diffusion- and Perfusion-Weighted MRI Radiomics for Survival Prediction in Patients with Lower-Grade Gliomas. Yonsei Medical Journal. 65(5). 283–283. 2 indexed citations
7.
Lee, Byung Min, Jaeho Cho, Dong-Seok Kim, et al.. (2024). Differences in Treatment Outcomes Depending on the Adjuvant Treatment Modality in Craniopharyngioma. Yonsei Medical Journal. 66(3). 141–141. 1 indexed citations
8.
Park, Chae Jung, Yae Won Park, Seok Jong Chung, et al.. (2023). An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson’s disease. npj Parkinson s Disease. 9(1). 127–127. 11 indexed citations
9.
Jun, Yohan, Yae Won Park, Hyungseob Shin, et al.. (2023). Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning. European Radiology. 33(9). 6124–6133. 8 indexed citations
10.
Park, Yae Won, Ji Eun Park, Sung Soo Ahn, et al.. (2023). Qualitative and Quantitative Magnetic Resonance Imaging Phenotypes May Predict CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytomas: A Multicenter Study. Korean Journal of Radiology. 24(2). 133–133. 18 indexed citations
11.
12.
Song, Kyungchul, et al.. (2022). A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI. Yonsei Medical Journal. 63(9). 856–856. 7 indexed citations
13.
Kim, Kyungwon, Yae Won Park, Daham Kim, et al.. (2020). Biochemical Remission after Cabergoline Withdrawal in Hyperprolactinemic Patients with Visible Remnant Pituitary Adenoma. The Journal of Clinical Endocrinology & Metabolism. 106(2). e615–e624. 9 indexed citations
14.
Park, Yae Won, Joonho Lee, Sung Soo Ahn, et al.. (2020). Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics. Schizophrenia Research. 223. 337–344. 27 indexed citations
15.
Lee, Minsu, Kyunghwa Han, Sung Soo Ahn, et al.. (2019). The added prognostic value of radiological phenotype combined with clinical features and molecular subtype in anaplastic gliomas. Journal of Neuro-Oncology. 142(1). 129–138. 12 indexed citations
16.
17.
Ahn, Sung Soo, et al.. (2012). Development of Location/Safety Tracking System for Construction Site Workers by Using MEMS Sensors. 49(1). 12–17. 1 indexed citations
18.
Ahn, Sung Soo, et al.. (2010). Development of RFID terminal for the Blind to Voice Guide Pharmaceutical E-pedigree. 47(3). 19–25.
19.
Ahn, Sung Soo, et al.. (2008). Feedback Interference Cancellation System of RF Relay Utilizing the LMS Algorithm. 45(1). 38–43. 1 indexed citations
20.
Kim, Min‐Soo, Sung Soo Ahn, Seungwon Choi, & Tapan K. Sarkar. (2003). An Adaptive Beam-forming Algorithm for Smart Antenna System in Practical CDMA Environments. IEICE Transactions on Communications. 86(3). 1163–1169. 2 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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