Seung Won Jun

42 total papers · 677 total citations
29 papers, 534 citations indexed

About

Seung Won Jun is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Biomaterials. According to data from OpenAlex, Seung Won Jun has authored 29 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 5 papers in Biomaterials. Recurrent topics in Seung Won Jun's work include Nanoplatforms for cancer theranostics (7 papers), Terahertz technology and applications (5 papers) and Graphene and Nanomaterials Applications (4 papers). Seung Won Jun is often cited by papers focused on Nanoplatforms for cancer theranostics (7 papers), Terahertz technology and applications (5 papers) and Graphene and Nanomaterials Applications (4 papers). Seung Won Jun collaborates with scholars based in South Korea, United States and Germany. Seung Won Jun's co-authors include Y. H. Ahn, Chang‐Seok Kim, Panchanathan Manivasagan, Junghwan Oh, Sudip Mondal, Van Tu Nguyen, Jun‐Young Kwon, Jaebeom Lee, S. Lee and Hyehyun Kim and has published in prestigious journals such as Nature Communications, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Seung Won Jun

27 papers receiving 521 citations

Author Peers

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

Author						Papers	Cites
Seung Won Jun	326	158	151	123	111	29	534
Xuan Xie	144 0.4×	80 0.5×	90 0.6×	159 1.3×	109 1.0×	33	578
Kateryna Levada	170 0.5×	116 0.7×	103 0.7×	59 0.5×	88 0.8×	27	529
Kiyoung Jeong	204 0.6×	292 1.8×	71 0.5×	48 0.4×	80 0.7×	22	549
Christian Nowak	122 0.4×	161 1.0×	136 0.9×	51 0.4×	55 0.5×	31	578
Chenchen Liu	197 0.6×	82 0.5×	377 2.5×	72 0.6×	77 0.7×	23	598
François Gendron	294 0.9×	114 0.7×	173 1.1×	304 2.5×	50 0.5×	21	591
Toru Tsuji	184 0.6×	37 0.2×	115 0.8×	157 1.3×	135 1.2×	26	531
Siyao Yu	221 0.7×	108 0.7×	281 1.9×	56 0.5×	90 0.8×	37	594
Lina Chen	326 1.0×	40 0.3×	149 1.0×	201 1.6×	99 0.9×	19	578
Gunnar Glöckl	413 1.3×	43 0.3×	127 0.8×	226 1.8×	143 1.3×	19	596

Countries citing papers authored by Seung Won Jun

Since Specialization

Citations

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

Fields of papers citing papers by Seung Won Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung Won Jun

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