Dae Won Seo

1.7k citations
56 papers · 1.3k · h-index 21

Impact in

Papers in

Dae Won Seo

54 papers receiving 1.3k citations

Peers

Dae Won Seo
Comparison fields: 5 of 84
  • Psychiatry and Mental health 678
  • Cognitive Neuroscience 288
  • Neurology 205
  • Neurology 113
  • Cellular and Molecular Neuroscience 244
Replace Masanori Takeoka with:
Masanori Takeoka United States
Taylor J. Abel United States
Franck Semah France
Michael Koutroumanidis United Kingdom
Yasuhiro Nakata Japan
Rei Enatsu Japan
Frank Kerling Germany
Reinhard Schulz Germany
Wenhan Hu China
András Fogarasi Hungary
Dae Won Seo relative to Masanori Takeoka United States Masanori Takeoka's profile →
Citations per field
00.5×1.7×
Masanori Takeoka · 1×
Citations per year

Countries citing papers authored by Dae Won Seo

Since Specialization
Citations

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

Fields of papers citing papers by Dae Won Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200790
2 200389
3 201486
4 200566
5 200560
6 200659
7 200057
8
Ictal hyperperfusion of cerebellum and basal ganglia in temporal lobe epilepsy: SPECT subtraction with MRI coregistration.
200152
9 200043
10 200543
11
MR findings in Hashimoto encephalopathy.
200441
12 200339
13 200838
14 200536
15 200033
16 199930
17 200429
18 201127
19 201922
20 201221

About Dae Won Seo

Dae Won Seo is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Neurology, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epilepsy research and treatment (29 papers), Neuroscience and Neuropharmacology Research (8 papers), Neurological disorders and treatments (7 papers), Pharmacological Effects and Toxicity Studies (5 papers), Neuroscience and Neural Engineering (4 papers), Transcranial Magnetic Stimulation Studies (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Neurological and metabolic disorders (4 papers). The work is most often cited by research in Psychiatry and Mental health (678 citations), Cognitive Neuroscience (288 citations), Neurology (205 citations), Neurology (113 citations) and Cellular and Molecular Neuroscience (244 citations). Dae Won Seo has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Seung Bong Hong, Eun Yeon Joo, Seung‐Chyul Hong, Woo‐Suk Tae, Sun Jung Han, Munhyang Lee, Sang Eun Kim, Jae-Wook Cho, Yeon‐Lim Suh and Duk L. Na. Their work appears in journals such as Epilepsia, Clinical Neurophysiology, Seizure, European Journal of Nuclear Medicine and Molecular Imaging and Epilepsy & Behavior.

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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