Won‐Keun Kim

6.2k citations
179 papers · 2.7k · h-index 30

Impact in

Papers in

Won‐Keun Kim

169 papers receiving 2.7k citations

Peers

Won‐Keun Kim
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 1.5k
  • Epidemiology 1.2k
  • Infectious Diseases 420
  • Pulmonary and Respiratory Medicine 422
  • Electronic, Optical and Magnetic Materials 235
Replace Yasuyuki MORITA with:
Yasuyuki MORITA Japan
Kun Qin China
Yuichi Ishihara Japan
Hiroshi Ito Japan
Kenji Ito Japan
Andreas Schlegel Germany
Fredrik Lindberg Sweden
St Patrick Reid United States
Yosuke Murakami Japan
Yinhui Yang China
Won‐Keun Kim relative to Yasuyuki MORITA Japan Yasuyuki MORITA's profile →
Citations per field
00.5×10×20×28.1×
Yasuyuki MORITA · 1×
Citations per year

Countries citing papers authored by Won‐Keun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Keun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Keun Kim. 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 Won‐Keun Kim. The network helps show where Won‐Keun Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012106
2 2014103
3 201882
4 201580
5 201772
6 201172
7 201765
8 201465
9 201463
10 201559
11 201549
12 201846
13 201746
14 201745
15 201844
16 201544
17 201643
18 202143
19 202241
20 202140

About Won‐Keun Kim

Won‐Keun Kim is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine and Surgery, having authored 179 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (97 papers), Infective Endocarditis Diagnosis and Management (66 papers), Viral Infections and Vectors (38 papers), Aortic Disease and Treatment Approaches (30 papers), Fire effects on ecosystems (19 papers), Cardiac Imaging and Diagnostics (17 papers), Cardiac pacing and defibrillation studies (16 papers) and Vector-Borne Animal Diseases (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Epidemiology (1.2k citations), Infectious Diseases (420 citations), Pulmonary and Respiratory Medicine (422 citations) and Electronic, Optical and Magnetic Materials (235 citations). Won‐Keun Kim has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Helge Möllmann, Christian W. Hamm, HyukSang Kwon, Won‐Hee Ryu, Thomas Walther, Christoph Liebetrau, Johannes Blumenstein, Luise Gaede, Ji-Yong Eom and Matthias Renker. Their work appears in journals such as Clinical Research in Cardiology, EuroIntervention, Journal of Clinical Medicine, International Journal of Cardiology and JACC: Cardiovascular Interventions.

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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