Uikyu Chae

559 total citations
17 papers, 382 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 17 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 14 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 (12 papers), Neural dynamics and brain function (7 papers) and Photoreceptor and optogenetics research (5 papers). Uikyu Chae is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Neural dynamics and brain function (7 papers) and Photoreceptor and optogenetics research (5 papers). Uikyu Chae collaborates with scholars based in South Korea, Japan and United States. Uikyu Chae's co-authors include Il‐Joo Cho, C. Justin Lee, Hyogeun Shin, Yakdol Cho, Jiwan Woo, Nakwon Choi, Jeongyeon Kim, Hyunjoo J. Lee, 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 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Uikyu Chae South Korea	10	258	123	107	92	33	17	382
Daniel G. McHail United States	10	273 1.1×	125 1.0×	100 0.9×	88 1.0×	28 0.8×	18	401
Chi Ren United States	12	385 1.5×	335 2.7×	69 0.6×	140 1.5×	45 1.4×	24	678
Lihui Lu China	6	121 0.5×	110 0.9×	77 0.7×	41 0.4×	33 1.0×	6	324
Smrithi Sunil United States	11	247 1.0×	132 1.1×	97 0.9×	48 0.5×	38 1.2×	16	403
Chang‐Yeop Jeon South Korea	9	69 0.3×	75 0.6×	198 1.9×	65 0.7×	62 1.9×	22	381
Jelena Petrović Serbia	11	221 0.9×	158 1.3×	28 0.3×	131 1.4×	14 0.4×	21	416
Halvor Juul United States	5	306 1.2×	115 0.9×	201 1.9×	190 2.1×	21 0.6×	7	510
Samsoon Inayat United States	11	270 1.0×	146 1.2×	79 0.7×	49 0.5×	19 0.6×	20	409
Gil S. Rind Australia	14	443 1.7×	307 2.5×	118 1.1×	88 1.0×	36 1.1×	28	661
Kate L. Parent United States	12	232 0.9×	56 0.5×	30 0.3×	114 1.2×	23 0.7×	13	395

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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17 of 17 papers shown

Chae, Uikyu, Heejung Chun, Jiwoon Lim, et al.. (2024). KDS2010, a reversible MAO‐B inhibitor, extends the lifetime of neural probes by preventing glial scar formation. Glia. 72(4). 748–758. 3 indexed citations

Jeong, Jinmo, Tae Hee Kim, Sang Un Park, et al.. (2023). Hybrid neural interfacing devices based on Au wires with nanogranular Au shell and hydrogel layer for anti-inflammatory and bi-directional neural communications. Chemical Engineering Journal. 465. 142966–142966. 12 indexed citations

Chae, Uikyu, Jiwan Woo, Yakdol Cho, et al.. (2023). A neural probe for concurrent real-time measurement of multiple neurochemicals with electrophysiology in multiple brain regions in vivo. Proceedings of the National Academy of Sciences. 120(28). e2219231120–e2219231120. 21 indexed citations

Ju, Yeon Ha, Mridula Bhalla, Seung Jae Hyeon, et al.. (2022). Astrocytic urea cycle detoxifies Aβ-derived ammonia while impairing memory in Alzheimer’s disease. Cell Metabolism. 34(8). 1104–1120.e8. 70 indexed citations

Chou, Namsun, Hyogeun Shin, Kanghwan Kim, et al.. (2022). A Multimodal Multi‐Shank Fluorescence Neural Probe for Cell‐Type‐Specific Electrophysiology in Multiple Regions across a Neural Circuit (Adv. Sci. 2/2022). Advanced Science. 9(2).

Lee, Jungpyo, Namsun Chou, Kanghwan Kim, et al.. (2021). A minimally invasive flexible electrode array for simultaneous recording of ECoG signals from multiple brain regions. Lab on a Chip. 21(12). 2383–2397. 14 indexed citations

Chae, Uikyu, Hyogeun Shin, Nakwon Choi, et al.. (2021). Bimodal neural probe for highly co-localized chemical and electrical monitoring of neural activities in vivo. Biosensors and Bioelectronics. 191. 113473–113473. 16 indexed citations

Kim, June Hoan, Jae Ryun Ryu, Boram Lee, et al.. (2021). Interpreting the Entire Connectivity of Individual Neurons in Micropatterned Neural Culture With an Integrated Connectome Analyzer of a Neuronal Network (iCANN). Frontiers in Neuroanatomy. 15. 746057–746057. 11 indexed citations

Chou, Namsun, Hyogeun Shin, Kanghwan Kim, et al.. (2021). A Multimodal Multi‐Shank Fluorescence Neural Probe for Cell‐Type‐Specific Electrophysiology in Multiple Regions across a Neural Circuit. Advanced Science. 9(2). e2103564–e2103564. 12 indexed citations

10.

Chae, Uikyu, Jeongsoo Park, Jeong‐Geun Kim, Hyun‐Yong Yu, & Il‐Joo Cho. (2021). CMOS voltage-controlled oscillator with high-performance MEMS tunable inductor. Micro and Nano Systems Letters. 9(1). 3 indexed citations

11.

Chae, Uikyu, Hyun‐Yong Yu, Changhyuk Lee, & Il‐Joo Cho. (2020). A Hybrid RF MEMS Switch Actuated by the Combination of Bidirectional Thermal Actuations and Electrostatic Holding. IEEE Transactions on Microwave Theory and Techniques. 68(8). 3461–3470. 19 indexed citations

12.

Shin, Hyogeun, Yoojin Son, Uikyu Chae, et al.. (2019). Multifunctional multi-shank neural probe for investigating and modulating long-range neural circuits in vivo. Nature Communications. 10(1). 3777–3777. 123 indexed citations

13.

Chae, Uikyu, Hyogeun Shin, & Il‐Joo Cho. (2019). Multifunctional neural probe integrated with push–pull microfluidic channels and microelectrode and biosensors for real-time monitoring of neurochemicals with neural spikes. IBRO Reports. 6. S264–S265. 1 indexed citations

14.

Kim, Hong Nam, Harpreet Singh Grewal, Uikyu Chae, et al.. (2019). Internal-Flow-Mediated, Tunable One-dimensional Cassie-to-Wenzel Wetting Transition on Superhydrophobic Microcavity Surfaces during Evaporation. Nanoscale and Microscale Thermophysical Engineering. 23(4). 275–288. 5 indexed citations

15.

Ryu, Jae Ryun, June Hoan Kim, Hyo Min Cho, et al.. (2018). A monitoring system for axonal growth dynamics using micropatterns of permissive and Semaphorin 3F chemorepulsive signals. Lab on a Chip. 19(2). 291–305. 9 indexed citations

16.

Chae, Uikyu, Hyunjoo J. Lee, Jungpyo Lee, et al.. (2016). A new MEMS neural probe system integrated with push-pull microfluidic channels and biosensors for real-time monitoring of neurochemicals. 329–332. 2 indexed citations

17.

Shin, Hyogeun, Hyunjoo J. Lee, Uikyu Chae, et al.. (2015). Neural probes with multi-drug delivery capability. Lab on a Chip. 15(18). 3730–3737. 61 indexed citations

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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