Jong Seok Ahn

404 total citations
9 papers, 201 citations indexed

About

Jong Seok Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jong Seok Ahn has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Jong Seok Ahn's work include COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiology practices and education (3 papers). Jong Seok Ahn is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiology practices and education (3 papers). Jong Seok Ahn collaborates with scholars based in South Korea, United States and United Kingdom. Jong Seok Ahn's co-authors include Ki Hwan Kim, Seokhwi Kim, Sangwon Shin, Eun Kyung Park, Soo Ick Cho, Su‐A Yang, Chan‐Young Ock, Edwin J.R. van Beek, J. T. Murchison and Shadi Ebrahimian and has published in prestigious journals such as Sensors, BMJ Open and Cells.

In The Last Decade

Jong Seok Ahn

8 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jong Seok Ahn South Korea	5	130	70	67	46	22	9	201
Richard W. Lee United Kingdom	4	125 1.0×	89 1.3×	60 0.9×	50 1.1×	16 0.7×	6	240
Anglin Dent Canada	5	104 0.8×	96 1.4×	126 1.9×	23 0.5×	16 0.7×	6	255
Ming‐De Li China	10	121 0.9×	46 0.7×	44 0.7×	31 0.7×	11 0.5×	28	228
Samuel J. Withey United Kingdom	5	237 1.8×	69 1.0×	69 1.0×	115 2.5×	12 0.5×	22	345
Andreas D. Lauritzen Denmark	5	132 1.0×	125 1.8×	57 0.9×	42 0.9×	8 0.4×	8	209
Yoel Shoshan Israel	4	120 0.9×	132 1.9×	48 0.7×	42 0.9×	12 0.5×	5	177
René Hosch Germany	10	157 1.2×	43 0.6×	42 0.6×	48 1.0×	9 0.4×	48	264
Xin Tie China	9	184 1.4×	57 0.8×	58 0.9×	33 0.7×	7 0.3×	24	264
Ran Godrich United States	3	103 0.8×	132 1.9×	38 0.6×	67 1.5×	9 0.4×	5	180

Countries citing papers authored by Jong Seok Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Jong Seok Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong Seok Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Seok Ahn. A scholar is included among the top collaborators of Jong Seok 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 Jong Seok Ahn. Jong Seok Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Ahn, Jong Seok, et al.. (2025). Emerging EGFR-Targeted Therapy in Head and Neck Cancer. JAMA Oncology. 11(11). 1373–1373. 2 indexed citations

Park, Jong Chul, Jong Seok Ahn, Ross D. Merkin, et al.. (2025). Correlates of Cetuximab Efficacy in Recurrent and Metastatic Head and Neck Squamous Cell Carcinoma Previously Treated With Immunotherapy. JCO Precision Oncology. 9(9). e2400741–e2400741. 1 indexed citations

Wing, L. M. H., Edwin J.R. van Beek, John T. Murchison, et al.. (2024). AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol. BMJ Open. 14(12). e080554–e080554.

Ahn, Jong Seok, Gahee Park, Yoojoo Lim, et al.. (2024). Comparison of Tumor Microenvironments between Primary Tumors and Lymph Node Metastases in Head and Neck Squamous Cell Carcinoma and Their Predictive Role in Immune Checkpoint Inhibitor Treatment. Cells. 13(18). 1557–1557. 2 indexed citations

Ahn, Jong Seok, Sangwon Shin, Su‐A Yang, et al.. (2023). Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine. Journal of Breast Cancer. 26(5). 405–405. 76 indexed citations

Lee, Jeong Hoon, Ki Hwan Kim, Jong Seok Ahn, et al.. (2022). Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study. Korean Journal of Radiology. 23(5). 505–505. 28 indexed citations

Beek, Edwin J.R. van, et al.. (2022). Validation study of machine-learning chest radiograph software in primary and emergency medicine. Clinical Radiology. 78(1). 1–7. 24 indexed citations

Ahn, Jong Seok, Shadi Ebrahimian, Shaunagh McDermott, et al.. (2022). Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency. JAMA Network Open. 5(8). e2229289–e2229289. 63 indexed citations

Lee, Jeong Hoon, Jong Seok Ahn, Myung Jin Chung, et al.. (2022). Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort. Sensors. 22(13). 5007–5007. 5 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.

Explore authors with similar magnitude of impact