Sang Won Seo

410 total papers · 10.9k total citations
239 papers, 4.7k citations indexed

About

Sang Won Seo is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Sang Won Seo has authored 239 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Psychiatry and Mental health, 89 papers in Physiology and 54 papers in Cognitive Neuroscience. Recurrent topics in Sang Won Seo's work include Dementia and Cognitive Impairment Research (122 papers), Alzheimer's disease research and treatments (80 papers) and Functional Brain Connectivity Studies (35 papers). Sang Won Seo is often cited by papers focused on Dementia and Cognitive Impairment Research (122 papers), Alzheimer's disease research and treatments (80 papers) and Functional Brain Connectivity Studies (35 papers). Sang Won Seo collaborates with scholars based in South Korea, United States and United Kingdom. Sang Won Seo's co-authors include Duk L. Na, Yong-il Shin, Juhee Chin, Woo Jin Kwon, Mee Kyung Suh, Hee Jin Kim, Byung Hwa Lee, Hyemin Jang, Geon Ha Kim and Hyunjung Ahn and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sang Won Seo

223 papers receiving 4.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sang Won Seo 1.7k 1.3k 1.0k 700 635 239 4.7k
Frank Seifert 493 0.3× 1.1k 0.9× 991 1.0× 370 0.5× 1.2k 1.9× 190 5.6k
David J. Williamson 1.5k 0.9× 893 0.7× 642 0.6× 376 0.5× 279 0.4× 149 6.0k
Mark Walterfang 2.1k 1.3× 2.0k 1.6× 1.5k 1.4× 411 0.6× 1.0k 1.6× 230 6.1k
Mark E. Schmidt 1.4k 0.9× 1.2k 0.9× 895 0.9× 486 0.7× 864 1.4× 125 4.8k
Kenichi Meguro 4.1k 2.5× 2.5k 2.0× 1.8k 1.8× 1.0k 1.4× 650 1.0× 235 7.6k
Robert Bartha 1.2k 0.7× 738 0.6× 1.4k 1.3× 418 0.6× 2.4k 3.7× 202 5.8k
Kwangsik Nho 1.2k 0.7× 2.1k 1.6× 642 0.6× 957 1.4× 468 0.7× 219 5.5k
Seymour S. Kety 1.6k 1.0× 760 0.6× 1.0k 1.0× 238 0.3× 1.1k 1.8× 100 7.2k
Moon Ho Park 785 0.5× 772 0.6× 287 0.3× 351 0.5× 319 0.5× 200 4.3k
Srdjan Djurovic 1.6k 1.0× 490 0.4× 1.0k 1.0× 305 0.4× 436 0.7× 309 8.0k

Countries citing papers authored by Sang Won Seo

Since Specialization
Citations

This map shows the geographic impact of Sang 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 Sang 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 Sang Won Seo more than expected).

Fields of papers citing papers by Sang Won Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Won Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Won Seo. A scholar is included among the top collaborators of Sang Won Seo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang Won Seo. Sang Won Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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