Dong‐Seung Seen

14 total papers · 680 total citations
7 papers, 479 citations indexed

About

Dong‐Seung Seen is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dong‐Seung Seen has authored 7 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Dong‐Seung Seen's work include Receptor Mechanisms and Signaling (2 papers), Chemokine receptors and signaling (2 papers) and Ubiquitin and proteasome pathways (1 paper). Dong‐Seung Seen is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Chemokine receptors and signaling (2 papers) and Ubiquitin and proteasome pathways (1 paper). Dong‐Seung Seen collaborates with scholars based in South Korea, Puerto Rico and United States. Dong‐Seung Seen's co-authors include Jae-Yeon Jeong, Hyun Sook Lee, Hyung‐Soon Yim, Jung-Hyun Lee, Sung Gyun Kang, Kun Ho Lee, Gi Hoon Son, Kyungjin Kim, Sehyung Cho and Tae Hwan Oh and has published in prestigious journals such as Applied and Environmental Microbiology, Cancer Research and Scientific Reports.

In The Last Decade

Dong‐Seung Seen

7 papers receiving 473 citations

Author Peers

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

Author Last Decade Papers Cites
Dong‐Seung Seen 302 81 69 56 37 7 479
William L. Muth 403 1.3× 92 1.1× 27 0.4× 31 0.6× 27 0.7× 12 521
Michael Frochaux 278 0.9× 64 0.8× 34 0.5× 29 0.5× 36 1.0× 10 484
Mark F.P. Heschl 330 1.1× 59 0.7× 57 0.8× 38 0.7× 35 0.9× 10 496
Lan-Yang Ch’ang 215 0.7× 39 0.5× 25 0.4× 45 0.8× 30 0.8× 12 420
Timothy Flynn 167 0.6× 137 1.7× 63 0.9× 32 0.6× 43 1.2× 10 410
Rodolfo Bova 166 0.5× 147 1.8× 33 0.5× 30 0.5× 14 0.4× 9 478
Yagiz Alp Aksoy 245 0.8× 71 0.9× 23 0.3× 20 0.4× 17 0.5× 11 523
Sora Enya 246 0.8× 80 1.0× 36 0.5× 39 0.7× 11 0.3× 11 444
Jacques Delort 267 0.9× 87 1.1× 34 0.5× 14 0.3× 32 0.9× 5 407
Didier Goidin 312 1.0× 73 0.9× 32 0.5× 13 0.2× 21 0.6× 10 467

Countries citing papers authored by Dong‐Seung Seen

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Seung Seen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Seung Seen. 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 Dong‐Seung Seen. The network helps show where Dong‐Seung Seen may publish in the future.

Co-authorship network of co-authors of Dong‐Seung Seen

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Seung Seen. A scholar is included among the top collaborators of Dong‐Seung Seen 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 Dong‐Seung Seen. Dong‐Seung Seen 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