Su Jin Yun

13 total papers · 818 total citations
10 papers, 628 citations indexed

About

Su Jin Yun is a scholar working on Molecular Biology, Immunology and Ophthalmology. According to data from OpenAlex, Su Jin Yun has authored 10 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Ophthalmology. Recurrent topics in Su Jin Yun's work include Autoimmune and Inflammatory Disorders Research (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Galectins and Cancer Biology (3 papers). Su Jin Yun is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Galectins and Cancer Biology (3 papers). Su Jin Yun collaborates with scholars based in South Korea, Czechia and United States. Su Jin Yun's co-authors include Fredrik Kamme, Xiaorong Li, Jingxue Yu, Taraneh Mirzadegan, Timothy W. Lovenberg, Steven W. Sutton, Jessica Zhu, Jonathan Shelton, Curt Mazur and Changlu Liu and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Nanomedicine and Molecular Immunology.

In The Last Decade

Su Jin Yun

10 papers receiving 621 citations

Author Peers

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

Author Last Decade Papers Cites
Su Jin Yun 292 180 103 84 84 10 628
Glen P. Lockwood 187 0.6× 212 1.2× 62 0.6× 114 1.4× 35 0.4× 14 632
Rafaela Bagur 406 1.4× 118 0.7× 45 0.4× 42 0.5× 29 0.3× 7 686
Xi Chen 293 1.0× 112 0.6× 52 0.5× 44 0.5× 30 0.4× 15 619
Yuan Chen 340 1.2× 87 0.5× 71 0.7× 77 0.9× 40 0.5× 19 666
Kyu-Sil Choi 382 1.3× 95 0.5× 104 1.0× 91 1.1× 38 0.5× 13 781
Danielle E. White 336 1.2× 60 0.3× 67 0.7× 88 1.0× 45 0.5× 8 610
H. Seulberger 500 1.7× 156 0.9× 36 0.3× 102 1.2× 41 0.5× 8 731
Renáta Gáspár 284 1.0× 74 0.4× 162 1.6× 56 0.7× 86 1.0× 26 724
Carlos A. Tristan 517 1.8× 83 0.5× 88 0.9× 56 0.7× 25 0.3× 19 748
Danli Wu 376 1.3× 64 0.4× 181 1.8× 61 0.7× 54 0.6× 21 784

Countries citing papers authored by Su Jin Yun

Since Specialization
Citations

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

Fields of papers citing papers by Su Jin Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Jin Yun

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