Ji‐Young Youn

53 total papers · 3.0k total citations
20 papers, 1.5k citations indexed

About

Ji‐Young Youn is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Ji‐Young Youn has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Plant Science. Recurrent topics in Ji‐Young Youn's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers) and Biotin and Related Studies (5 papers). Ji‐Young Youn is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers) and Biotin and Related Studies (5 papers). Ji‐Young Youn collaborates with scholars based in Canada, United States and Switzerland. Ji‐Young Youn's co-authors include Anne‐Claude Gingras, James D.R. Knight, Marc R. Fabian, Jianping Zhang, Boris J.A. Dyakov, Robert M. Vernon, Julie D. Forman‐Kay, Darrell Desveaux, Simon Eng and Bhavisha Rathod and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Ji‐Young Youn

19 papers receiving 1.5k citations

Hit Papers

High-Density Proximity Ma... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Ji‐Young Youn 1.1k 444 278 68 68 20 1.5k
Nikolaj H.T. Petersen 1.2k 1.1× 675 1.5× 402 1.4× 106 1.6× 68 1.0× 23 2.1k
Daniel Auerbach 1.6k 1.5× 203 0.5× 424 1.5× 70 1.0× 30 0.4× 31 2.1k
Matthias Versele 1.4k 1.3× 289 0.7× 360 1.3× 53 0.8× 18 0.3× 43 1.7k
H.R. Matthews 1.2k 1.1× 178 0.4× 160 0.6× 49 0.7× 82 1.2× 22 1.6k
Tomohisa Hatta 1.1k 1.0× 250 0.6× 487 1.8× 127 1.9× 30 0.4× 36 1.8k
Dorothea Anrather 1.5k 1.4× 480 1.1× 315 1.1× 47 0.7× 41 0.6× 35 1.9k
Joaquín de Navascués 1.5k 1.4× 245 0.6× 241 0.9× 150 2.2× 24 0.4× 27 2.0k
E.M. Quistgaard 785 0.7× 580 1.3× 144 0.5× 64 0.9× 16 0.2× 30 1.7k
Pietri Puustinen 912 0.8× 324 0.7× 128 0.5× 88 1.3× 30 0.4× 17 1.5k
Phil Hieter 1.6k 1.5× 234 0.5× 205 0.7× 146 2.1× 41 0.6× 14 2.0k

Countries citing papers authored by Ji‐Young Youn

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Young Youn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Young Youn. 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 Ji‐Young Youn. The network helps show where Ji‐Young Youn may publish in the future.

Co-authorship network of co-authors of Ji‐Young Youn

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Young Youn. A scholar is included among the top collaborators of Ji‐Young Youn 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 Ji‐Young Youn. Ji‐Young Youn 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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