Suyon Chang

1.3k citations
55 papers · 980 · h-index 16

Impact in

Papers in

Suyon Chang

52 papers receiving 957 citations

Peers

Suyon Chang
Comparison fields: 5 of 85
  • Radiology, Nuclear Medicine and Imaging 361
  • Cardiology and Cardiovascular Medicine 286
  • Epidemiology 176
  • Biomedical Engineering 207
  • Obstetrics and Gynecology 31
Replace Katharina Otani with:
Katharina Otani Japan
Henry Cheng United States
Eiko Ueno Japan
Vineet R. Jain United States
Arik Wolak Israel
Shakeel Qureshi United Kingdom
Ajay Anand United States
Simon Greulich Germany
Johannes Petersen Germany
Ulrike Herberg Germany
Suyon Chang relative to Katharina Otani Japan Katharina Otani's profile →
Citations per field
00.5×4.3×
Katharina Otani · 1×
Citations per year

Countries citing papers authored by Suyon Chang

Since Specialization
Citations

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

Fields of papers citing papers by Suyon Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suyon Chang. 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 Suyon Chang. The network helps show where Suyon Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Suyon Chang, 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 Suyon Chang Line = papers co-authored together Suyon Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017158
2 2016138
3 201881
4 201276
5 200864
6 201745
7 201629
8 201529
9 201628
10 201627
11 202123
12 201622
13 201821
14 202220
15 201320
16 201219
17 202212
18 199512
19 202211
20 201411

About Suyon Chang

Suyon Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 980 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Advanced X-ray and CT Imaging (10 papers), Advanced MRI Techniques and Applications (6 papers), Cardiac Valve Diseases and Treatments (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Radiation Dose and Imaging (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (361 citations), Cardiology and Cardiovascular Medicine (286 citations), Epidemiology (176 citations), Biomedical Engineering (207 citations) and Obstetrics and Gynecology (31 citations). Suyon Chang has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Byoung Wook Choi, Young Jin Kim, Young Joo Suh, Yoo Jin Hong, Hye‐Jeong Lee, Jin Hur, Dong Jin Im, Jong‐Chan Youn, Jin Young Kim and Kyunghwa Han. Their work appears in journals such as Korean Journal of Radiology, European Radiology, Radiology, International Journal of Cardiology and Circulation Cardiovascular Imaging.

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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