Dae Yun Seo

91 total papers · 2.3k total citations
64 papers, 1.7k citations indexed

About

Dae Yun Seo is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Dae Yun Seo has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 24 papers in Molecular Biology and 14 papers in Epidemiology. Recurrent topics in Dae Yun Seo's work include Adipose Tissue and Metabolism (20 papers), Mitochondrial Function and Pathology (12 papers) and Exercise and Physiological Responses (10 papers). Dae Yun Seo is often cited by papers focused on Adipose Tissue and Metabolism (20 papers), Mitochondrial Function and Pathology (12 papers) and Exercise and Physiological Responses (10 papers). Dae Yun Seo collaborates with scholars based in South Korea, United States and United Kingdom. Dae Yun Seo's co-authors include Jin Han, Hyo‐Bum Kwak, Byoung Doo Rhee, Kyung Soo Ko, Jun‐Won Heo, Sung Ryul Lee, Nari Kim, Mi‐Hyun No, Arturo Figueroa and Hyun Seok Bang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Dae Yun Seo

58 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Dae Yun Seo 689 575 268 213 200 64 1.7k
Rebecca E. K. MacPherson 1.0k 1.5× 520 0.9× 205 0.8× 232 1.1× 424 2.1× 112 2.0k
O. Pastoris 731 1.1× 617 1.1× 212 0.8× 151 0.7× 184 0.9× 93 2.0k
Sarah Aldred 684 1.0× 441 0.8× 136 0.5× 151 0.7× 220 1.1× 73 2.2k
Baskaran Thyagarajan 620 0.9× 767 1.3× 130 0.5× 210 1.0× 81 0.4× 50 2.1k
Brian R. Kupchak 446 0.6× 350 0.6× 125 0.5× 139 0.7× 114 0.6× 56 1.4k
Saeid Golbidi 743 1.1× 343 0.6× 280 1.0× 254 1.2× 114 0.6× 36 1.9k
Shuangtao Ma 670 1.0× 641 1.1× 516 1.9× 205 1.0× 72 0.4× 70 2.2k
Pascal Sirvent 427 0.6× 476 0.8× 205 0.8× 152 0.7× 380 1.9× 40 1.5k
Cláudia Jacques Lagranha 656 1.0× 727 1.3× 213 0.8× 122 0.6× 52 0.3× 100 2.3k
Sudip Bajpeyi 1.3k 1.8× 755 1.3× 172 0.6× 346 1.6× 148 0.7× 41 1.9k

Countries citing papers authored by Dae Yun Seo

Since Specialization
Citations

This map shows the geographic impact of Dae Yun 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 Yun 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 Yun Seo more than expected).

Fields of papers citing papers by Dae Yun Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Yun Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Yun Seo. A scholar is included among the top collaborators of Dae Yun 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 Dae Yun Seo. Dae Yun 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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2026