Sung Jun Ahn

1.7k citations
95 papers · 1.2k · h-index 19

Impact in

Papers in

Sung Jun Ahn

85 papers receiving 1.2k citations

Peers

Sung Jun Ahn
Comparison fields: 5 of 99
  • Neurology 283
  • Radiology, Nuclear Medicine and Imaging 355
  • Genetics 140
  • Pulmonary and Respiratory Medicine 369
  • Cellular and Molecular Neuroscience 106
Replace Francesco Garaci with:
Francesco Garaci Italy
David Kaul Germany
Yoshinori Shigematsu Japan
Artor Niccoli Asabella Italy
Joseph Megyesi Canada
Salvatore U. Berlangieri Australia
Michelle Miller‐Thomas United States
Efstathios Papavassiliou United States
Noriaki Tomura Japan
Joseph Mantil United States
Sung Jun Ahn relative to Francesco Garaci Italy Francesco Garaci's profile →
Citations per field
00.5×2.7×
Francesco Garaci · 1×
Citations per year

Countries citing papers authored by Sung Jun Ahn

Since Specialization
Citations

This map shows the geographic impact of Sung Jun 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 Jun 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 Jun Ahn more than expected).

Fields of papers citing papers by Sung Jun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sung Jun Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung Jun Ahn Line = papers co-authored together Sung Jun Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overexpression of peroxiredoxin in human breast cancer.
2001198
2 201765
3 201459
4 202040
5 201734
6 202031
7 201831
8 202028
9 201628
10 202127
11 201423
12 201122
13 201421
14 201521
15 201420
16 201520
17 201619
18 201319
19 201819
20 201318

About Sung Jun Ahn

Sung Jun Ahn is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Surgery and Epidemiology, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (16 papers), Brain Metastases and Treatment (13 papers), MRI in cancer diagnosis (11 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Cerebrospinal fluid and hydrocephalus (8 papers) and Glioma Diagnosis and Treatment (8 papers). The work is most often cited by research in Neurology (283 citations), Radiology, Nuclear Medicine and Imaging (355 citations), Genetics (140 citations), Pulmonary and Respiratory Medicine (369 citations) and Cellular and Molecular Neuroscience (106 citations). Sung Jun Ahn has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include Sang Hyun Suh, Seung‐Koo Lee, Mina Park, Ryung‐Ah Lee, Sun‐Whe Kim, Ho Zoon Chae, In Ae Park, Jong Hee Chang, Kyung‐Yul Lee and Yoon Jin. Their work appears in journals such as American Journal of Neuroradiology, PLoS ONE, Korean Journal of Radiology, Scientific Reports and Frontiers in Oncology.

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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