Sijung Yun

65 total papers · 1.2k total citations
37 papers, 878 citations indexed

About

Sijung Yun is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Sijung Yun has authored 37 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Sijung Yun's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Traumatic Brain Injury Research (5 papers) and Protein Structure and Dynamics (4 papers). Sijung Yun is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Traumatic Brain Injury Research (5 papers) and Protein Structure and Dynamics (4 papers). Sijung Yun collaborates with scholars based in United States, South Korea and United Kingdom. Sijung Yun's co-authors include Luis Cruz, Gal Bitan, David B. Teplow, Brigita Urbanc, H. Eugene Stanley, Sergey V. Buldyrev, Jessica Gill, H. Robert Guy, Hyungsuk Kim and Michael Krause and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Cell Biology.

In The Last Decade

Sijung Yun

37 papers receiving 870 citations

Author Peers

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

Author Last Decade Papers Cites
Sijung Yun 522 400 101 85 85 37 878
Andreas Müller‐Schiffmann 390 0.7× 345 0.9× 77 0.8× 80 0.9× 62 0.7× 29 797
Catherine K. Xu 463 0.9× 460 1.1× 57 0.6× 37 0.4× 90 1.1× 29 1.0k
Maoping Tang 414 0.8× 272 0.7× 25 0.2× 109 1.3× 69 0.8× 26 907
Zsolt Datki 346 0.7× 431 1.1× 95 0.9× 26 0.3× 94 1.1× 41 828
Ryan Limbocker 382 0.7× 365 0.9× 109 1.1× 9 0.1× 74 0.9× 26 714
Chuchu Wang 408 0.8× 175 0.4× 27 0.3× 41 0.5× 28 0.3× 29 745
Christine M. Roberts 442 0.8× 310 0.8× 42 0.4× 52 0.6× 22 0.3× 28 1.0k
Zsolt Bozsó 418 0.8× 341 0.9× 48 0.5× 29 0.3× 45 0.5× 35 811
Abraham O. Samson 588 1.1× 176 0.4× 50 0.5× 40 0.5× 13 0.2× 57 1.0k
Lara Ordóñez‐Gutiérrez 286 0.5× 339 0.8× 22 0.2× 157 1.8× 106 1.2× 31 794

Countries citing papers authored by Sijung Yun

Since Specialization
Citations

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

Fields of papers citing papers by Sijung Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijung Yun

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