Yu Sam Won

1.1k citations
51 papers · 846 indexed · h-index 17

Yu Sam Won

46 papers receiving 826 citations

Peers

Yu Sam Won
Comparison fields: 5 of 64
  • Neurology 498
  • Ophthalmology 124
  • Pulmonary and Respiratory Medicine 320
  • Rheumatology 123
  • Pathology and Forensic Medicine 96
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Young‐Min Han South Korea
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Randall C. Edgell United States
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H.-M. Chang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Yu Sam Won

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sam Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Sam Won. 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 Yu Sam Won. The network helps show where Yu Sam Won may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20170
3 201714
4 201717
5 20172
6 201717
7 201628
8 201621
9 201575
10 201411
11 201312
12 201312
13 20122
14 201021
15 201022
16 200912
17
Angiographic Characteristics of the Intracranial Saccular Aneurysms to Predict the Rupture.
20071
18 200738
19
Aspect Ratio(dome/neck) of Ruptured and Unruptured Aneurysms in Relation to Their Sizes and Sites and Ages of Patients: Clinical Research.
20060
20
Endovascular Stent Treatment for Traumatic Common Carotid Artery Dissection with Cerebral Infarction : Case Report and Literature Review.
20060

About Yu Sam Won

Yu Sam Won is a scholar working on Neurology, Ophthalmology, Pulmonary and Respiratory Medicine, Internal Medicine and Epidemiology, having authored 51 papers that have together received 846 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (20 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Glaucoma and retinal disorders (9 papers), Acute Ischemic Stroke Management (9 papers), Neurosurgical Procedures and Complications (8 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers) and Vascular Malformations Diagnosis and Treatment (5 papers). The work is most often cited by research in Neurology (498 citations), Ophthalmology (124 citations), Pulmonary and Respiratory Medicine (320 citations), Rheumatology (123 citations) and Pathology and Forensic Medicine (96 citations). Yu Sam Won has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Chun Sik Choi, Byung Moon Kim, Sung Il Park, Eun Chul Chung, Sang Hyun Suh, Pil‐Wook Chung, Dong Joon Kim, Yong Bum Kim, Joon Mo Kim and Heui‐Soo Moon. Their work appears in journals such as Journal of Korean Neurosurgical Society, Journal of neurosurgery, Cerebrovascular Diseases, Neurosurgery and Archives of Medical Research.

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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