In Suck Choi

1.6k citations
49 papers · 1.3k indexed · h-index 17
Topics
Coronary Interventions and Diagnostics (11 papers)Cardiac Arrhythmias and Treatments (9 papers)Lipoproteins and Cardiovascular Health (9 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology

In The Last Decade

In Suck Choi

47 papers receiving 1.3k citations

Peers

In Suck Choi
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 598
  • Surgery 473
  • Endocrinology, Diabetes and Metabolism 430
  • Epidemiology 295
  • Genetics 169
Replace Koji Oida with:
Koji Oida Japan
Tae Hoon Ahn South Korea
A.H.M. Smelt Netherlands
Jacqueline Suk Danik United States
Rossella Liani Italy
Fumimaro Takatsu Japan
D.P. Mikhailidis United Kingdom
Diethelm Tschöpe Germany
Melchior C. Nierman Netherlands
Marianna Maranghi Italy
In Suck Choi relative to Koji Oida Japan Koji Oida's profile →
Citations per field
00.5×1.5×2.4×
Koji Oida · 1×
Citations per year

Countries citing papers authored by In Suck Choi

Since Specialization
Citations

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

Fields of papers citing papers by In Suck Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Suck Choi. 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 In Suck Choi. The network helps show where In Suck Choi may publish in the future.

Co-authorship network of co-authors of In Suck Choi

This figure shows the co-authorship network connecting the top 25 collaborators of In Suck Choi. A scholar is included among the top collaborators of In Suck Choi 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 In Suck Choi. In Suck Choi 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 2
2 0
3 2
4 4
5 9
6 7
7 21
8 2
9 13
10 8
11 18
12 9
13 15
14 174
15 25
16 54
17 8
18 187
19 26
20 38

About In Suck Choi

In Suck Choi is a scholar working on Leadership and Management, Cardiology and Cardiovascular Medicine and Research and Theory, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (11 papers), Cardiac Arrhythmias and Treatments (9 papers) and Lipoproteins and Cardiovascular Health (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (598 citations), Endocrinology, Diabetes and Metabolism (430 citations) and Surgery (473 citations). In Suck Choi has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Eak Kyun Shin, Kwang Kon Koh, Jeong Yeal Ahn, Seung Hwan Han, Wook‐Jin Chung, Tae Hoon Ahn, Dong‐Kyu Jin, Dae Sung Kim, Yiel‐Hea Seo and Michael J. Quon. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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