Sun U. Kwon

7.6k citations
168 papers · 4.8k indexed · h-index 38

Sun U. Kwon

157 papers receiving 4.6k citations

Peers

Sun U. Kwon
Comparison fields: 5 of 143
  • Internal Medicine 434
  • Rehabilitation 738
  • Neurology 1.6k
  • Epidemiology 2.5k
  • Pulmonary and Respiratory Medicine 1.9k
Replace Enrique C. Leira with:
Enrique C. Leira United States
Hakan Ay United States
Keun‐Sik Hong South Korea
Adrià Arboix Spain
Robert L. Grubb United States
Jukka Putaala Finland
Moon‐Ku Han South Korea
Karl Bjørnar Alstadhaug Norway
Ken Uchino United States
Maurizio Paciaroni Italy
Sun U. Kwon relative to Enrique C. Leira United States Enrique C. Leira's profile →
Citations per field
00.5×1.5×1.9×
Enrique C. Leira · 1×
Citations per year

Countries citing papers authored by Sun U. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sun U. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun U. Kwon. 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 Sun U. Kwon. The network helps show where Sun U. Kwon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20244
5 20230
6 20230
7 20235
8 20223
9 20227
10 202113
11 20217
12 20188
13 20186
14 201741
15 201658
16 20153
17 201428
18 201245
19 201257
20 20106

About Sun U. Kwon

Sun U. Kwon is a scholar working on Internal Medicine, Neurology, Epidemiology, Pulmonary and Respiratory Medicine and Rehabilitation, having authored 168 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (106 papers), Cerebrovascular and Carotid Artery Diseases (85 papers), Intracranial Aneurysms: Treatment and Complications (25 papers), Venous Thromboembolism Diagnosis and Management (23 papers), Atrial Fibrillation Management and Outcomes (22 papers), Stroke Rehabilitation and Recovery (17 papers), Cardiovascular Health and Disease Prevention (16 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). The work is most often cited by research in Internal Medicine (434 citations), Rehabilitation (738 citations), Neurology (1.6k citations), Epidemiology (2.5k citations) and Pulmonary and Respiratory Medicine (1.9k citations). Sun U. Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong‐Wha Kang, Jong S. Kim, Keun‐Sik Hong, Bum Joon Kim, Smi Choi‐Kwon, Hee‐Joon Bae, Sung‐Hee Yoo, Jong S. Kim, Kyung‐Hee Cho and Dae Chul Suh. Their work appears in journals such as Journal of Stroke, Stroke, Cerebrovascular Diseases, Journal of Stroke and Cerebrovascular Diseases and International Journal of Stroke.

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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