Min Seob Song

1.2k citations
43 papers · 579 indexed · h-index 13
Topics
Kawasaki Disease and Coronary Complications (25 papers)Coronary Artery Anomalies (23 papers)Cardiac Structural Anomalies and Repair (6 papers)
Partner nations
South KoreaChinaJapan

In The Last Decade

Min Seob Song

41 papers receiving 568 citations

Peers

Min Seob Song
Comparison fields: 5 of 70
  • Surgery 376
  • Pulmonary and Respiratory Medicine 328
  • Cardiology and Cardiovascular Medicine 106
  • Molecular Biology 93
  • Biomedical Engineering 60
Replace Toru Kadowaki with:
Toru Kadowaki Japan
Francis J. Caputo United States
Rosa Liotta Italy
T M Rolf Netherlands
Taichi Kato Japan
Hirotaka Shimizu Japan
Kwang Ho Kim South Korea
Hisanaga Yagyu Japan
Semih Görgülü Türkiye
Yang Keun Rhee South Korea
Min Seob Song relative to Toru Kadowaki Japan Toru Kadowaki's profile →
Citations per field
00.5×8.6×
Toru Kadowaki · 1×
Citations per year

Countries citing papers authored by Min Seob Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Seob Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Seob Song. 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 Min Seob Song. The network helps show where Min Seob Song may publish in the future.

Co-authorship network of co-authors of Min Seob Song

This figure shows the co-authorship network connecting the top 25 collaborators of Min Seob Song. A scholar is included among the top collaborators of Min Seob Song 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 Min Seob Song. Min Seob Song 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
#WorkIndexed citations
1 7
2 1
3 6
4 1
5 0
6 1
7 3
8 12
9 4
10 4
11 4
12 5
13 15
14 17
15 13
16 16
17 12
18 81
19 42
20
Follow-Up Method in Patients with Kawasaki Disease who had No Coronary Artery Abnormalities in the Convalescent Period
1

About Min Seob Song

Min Seob Song is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Neurology, having authored 43 papers that have together received 579 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (25 papers), Coronary Artery Anomalies (23 papers) and Cardiac Structural Anomalies and Repair (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (328 citations), Surgery (376 citations) and Cardiology and Cardiovascular Medicine (106 citations). Min Seob Song has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Gi Beom Kim, Young Mi Hong, Ji Whan Han, Min Kyu Kim, Dong Soo Kim, Hye Won Lee, Sejung Sohn, Kyung Lim Yoon, Kyung‐Yil Lee and Yong Won Park. Their work appears in journals such as Frontiers in Microbiology, Emerging infectious diseases and Meat Science.

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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