Sae‐Yeon Won
Impact in
Papers in
- Co-authors
- Volker Seifert (55 shared papers)Daniel Dubinski (57 shared papers)Juergen Konczalla (44 shared papers)Florian Geßler (43 shared papers)Bedjan Behmanesh (39 shared papers)Thomas M. Freiman (39 shared papers)Christian Senft (20 shared papers)Eva Herrmann (12 shared papers)
- Journals
- Neurosurgical Review (11 papers)Journal of Clinical Medicine (10 papers)World Neurosurgery (8 papers)Acta Neurochirurgica (5 papers)PLoS ONE (5 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Sae‐Yeon Won
74 papers receiving 761 citations
Peers
Comparison fields: 5 of 70
- Neurology 321
- Genetics 87
- Health Informatics 12
- Internal Medicine 23
- Cellular and Molecular Neuroscience 70
Countries citing papers authored by Sae‐Yeon Won
This map shows the geographic impact of Sae‐Yeon 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 Sae‐Yeon Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae‐Yeon Won more than expected).
Fields of papers citing papers by Sae‐Yeon Won
This network shows the impact of papers produced by Sae‐Yeon 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 Sae‐Yeon Won. The network helps show where Sae‐Yeon Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Sae‐Yeon Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2016 | 55 | |
| 3 | 2017 | 47 | |
| 4 | 2019 | 45 | |
| 5 | 2017 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 31 | |
| 8 | 2019 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2024 | 20 | |
| 12 | 2017 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2021 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2023 | 11 |
About Sae‐Yeon Won
Sae‐Yeon Won is a scholar working on Neurology, Surgery, Epidemiology, Cellular and Molecular Neuroscience and Genetics, having authored 82 papers that have together received 770 indexed citations. Recurring topics across this work include Neurosurgical Procedures and Complications (11 papers), Intracranial Aneurysms: Treatment and Complications (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Intracerebral and Subarachnoid Hemorrhage Research (10 papers), Vascular Malformations Diagnosis and Treatment (9 papers), Cerebrospinal fluid and hydrocephalus (6 papers), Acute Ischemic Stroke Management (6 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Neurology (321 citations), Genetics (87 citations), Health Informatics (12 citations), Internal Medicine (23 citations) and Cellular and Molecular Neuroscience (70 citations). Sae‐Yeon Won has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Volker Seifert, Daniel Dubinski, Juergen Konczalla, Florian Geßler, Bedjan Behmanesh, Thomas M. Freiman, Christian Senft, Eva Herrmann, Johanna Quick‐Weller and Adam Strzelczyk. Their work appears in journals such as Neurosurgical Review, Journal of Clinical Medicine, World Neurosurgery, Acta Neurochirurgica and PLoS ONE.
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.