Woo‐Suk Chung

621 total citations
28 papers, 444 citations indexed

About

Woo‐Suk Chung is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Surgery. According to data from OpenAlex, Woo‐Suk Chung has authored 28 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Hepatology and 6 papers in Surgery. Recurrent topics in Woo‐Suk Chung's work include MRI in cancer diagnosis (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Woo‐Suk Chung is often cited by papers focused on MRI in cancer diagnosis (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Woo‐Suk Chung collaborates with scholars based in South Korea, Germany and Czechia. Woo‐Suk Chung's co-authors include Myeong‐Jin Kim, Mi‐Suk Park, Ki Whang Kim, Yeo‐eun Kim, Yong Eun Chung, Hyo Jung Seo, Jong Doo Lee, Chansik An, Jin‐Young Choi and Kyung‐Ah Kim and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hepatology.

In The Last Decade

Woo‐Suk Chung

25 papers receiving 434 citations

Peers

Woo‐Suk Chung
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 235
  • Hepatology 226
  • Epidemiology 144
  • Surgery 84
  • Oncology 81
Replace Hitoshi Tochio with:
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Myoung Seok Lee South Korea
Gianluca De Rubeis Italy
Yuki Miyata Japan
Xiaoyan Xie China
Yuichi Yoshie Japan
Mark Westcott United States
Kelvin Cortis Malta
Chang Jin Han South Korea
M. Rago Italy
Hitoshi Tochio Japan View profile →
Citations per field, relative to Woo‐Suk Chung
Woo‐Suk Chung · 1×
Citations per year, relative to Woo‐Suk Chung
Woo‐Suk Chung · 1×

Countries citing papers authored by Woo‐Suk Chung

Since Specialization
Citations

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

Fields of papers citing papers by Woo‐Suk Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Suk Chung. 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 Woo‐Suk Chung. The network helps show where Woo‐Suk Chung may publish in the future.

Co-authorship network of co-authors of Woo‐Suk Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Woo‐Suk Chung. A scholar is included among the top collaborators of Woo‐Suk Chung 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 Woo‐Suk Chung. Woo‐Suk Chung 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
# Work Indexed citations
1 0
2 3
3 0
4 0
5 6
6 1
7 3
8 2
9 15
10 18
11 52
12 39
13 72
14 77
15 12
16 14
17 4
18 4
19 10
20 4

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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