Uikyu Chae

22 total papers · 541 total citations
16 papers, 374 citations indexed

About

Uikyu Chae is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Uikyu Chae has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Uikyu Chae's work include Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Uikyu Chae is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Uikyu Chae collaborates with scholars based in South Korea, United States and Japan. Uikyu Chae's co-authors include Il‐Joo Cho, C. Justin Lee, Hyogeun Shin, Yakdol Cho, Jiwan Woo, Nakwon Choi, Hyunjoo J. Lee, Jeongyeon Kim, Soo Hyun Yang and Yoojin Son and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cell Metabolism.

In The Last Decade

Uikyu Chae

16 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Uikyu Chae	255	123	105	89	33	16	374
Daniel G. McHail	272 1.1×	125 1.0×	100 1.0×	87 1.0×	121 3.7×	18	398
Minju Jeong	134 0.5×	115 0.9×	150 1.4×	91 1.0×	20 0.6×	19	419
Yingying Fan	82 0.3×	86 0.7×	78 0.7×	56 0.6×	18 0.5×	26	367
Derek R. Oliver	116 0.5×	65 0.5×	90 0.9×	183 2.1×	15 0.5×	39	407
Jean‐Louis Divoux	203 0.8×	137 1.1×	196 1.9×	28 0.3×	35 1.1×	18	440
Chang‐Yeop Jeon	65 0.3×	75 0.6×	196 1.9×	63 0.7×	51 1.5×	22	373
Jelena Petrović	218 0.9×	158 1.3×	28 0.3×	131 1.5×	50 1.5×	21	412
Anne‐Kathrin Gellner	130 0.5×	59 0.5×	77 0.7×	62 0.7×	32 1.0×	20	377
Joel Villalobos	258 1.0×	92 0.7×	51 0.5×	116 1.3×	29 0.9×	24	347
Samsoon Inayat	265 1.0×	145 1.2×	79 0.8×	48 0.5×	14 0.4×	20	404

Countries citing papers authored by Uikyu Chae

Since Specialization

Citations

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

Fields of papers citing papers by Uikyu Chae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uikyu Chae

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