Sehyoun Yoon

50 total papers · 1.2k total citations
29 papers, 666 citations indexed

About

Sehyoun Yoon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Sehyoun Yoon has authored 29 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Genetics. Recurrent topics in Sehyoun Yoon's work include Genetics and Neurodevelopmental Disorders (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Receptor Mechanisms and Signaling (7 papers). Sehyoun Yoon is often cited by papers focused on Genetics and Neurodevelopmental Disorders (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Receptor Mechanisms and Signaling (7 papers). Sehyoun Yoon collaborates with scholars based in United States, South Korea and Germany. Sehyoun Yoon's co-authors include Ja‐Hyun Baik, Peter Penzes, Hyo Jin Lee, Se‐Young Choi, Nicolas H. Piguel, Marc P. Forrest, Kristoffer Myczek, Eun Young Kang, Jeffrey N. Savas and Pyung‐Lim Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sehyoun Yoon

28 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Sehyoun Yoon 300 223 125 99 94 29 666
Katerina V. Savelieva 345 1.1× 295 1.3× 128 1.0× 108 1.1× 107 1.1× 24 793
Sara R. Guariglia 302 1.0× 152 0.7× 87 0.7× 78 0.8× 103 1.1× 23 781
Vidar M. Steen 356 1.2× 165 0.7× 96 0.8× 183 1.8× 96 1.0× 15 765
Miriam Fernández 310 1.0× 225 1.0× 63 0.5× 67 0.7× 58 0.6× 29 720
Wanpeng Cui 288 1.0× 347 1.6× 82 0.7× 133 1.3× 138 1.5× 19 748
Mark Dunleavy 299 1.0× 319 1.4× 99 0.8× 93 0.9× 71 0.8× 21 682
Heather A. Mitchell 170 0.6× 161 0.7× 78 0.6× 97 1.0× 147 1.6× 15 728
Zsófia Hoyk 209 0.7× 149 0.7× 81 0.6× 88 0.9× 40 0.4× 31 703
Steven C. Wyler 257 0.9× 172 0.8× 67 0.5× 126 1.3× 37 0.4× 18 626
Britta Schürmann 312 1.0× 204 0.9× 138 1.1× 182 1.8× 108 1.1× 15 784

Countries citing papers authored by Sehyoun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sehyoun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sehyoun Yoon

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