Taegyo Kim

478 total citations
9 papers, 210 citations indexed

About

Taegyo Kim is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Taegyo Kim has authored 9 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Taegyo Kim's work include Motor Control and Adaptation (3 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Taegyo Kim is often cited by papers focused on Motor Control and Adaptation (3 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Taegyo Kim collaborates with scholars based in United States and Russia. Taegyo Kim's co-authors include Ilya A. Rybak, Yinghui Zhong, William H. Barnett, Yaroslav I. Molkov, Ravi K. Ponnappan, Zhiling Zhang, Zhicheng Wang, Jia Nong, Veronica J. Tom and Sergey N. Markin and has published in prestigious journals such as PLoS ONE, Biomaterials and eLife.

In The Last Decade

Taegyo Kim

9 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taegyo Kim United States	7	92	80	45	43	28	9	210
Bogdan Ignat Romania	9	58 0.6×	110 1.4×	62 1.4×	21 0.5×	38 1.4×	40	275
Peter L. E. van Kan United States	9	75 0.8×	179 2.2×	58 1.3×	14 0.3×	48 1.7×	11	230
Marisol Soula United States	11	212 2.3×	201 2.5×	30 0.7×	80 1.9×	26 0.9×	19	463
Sara Conti Switzerland	6	86 0.9×	71 0.9×	72 1.6×	91 2.1×	68 2.4×	7	218
Giovanni Savini Italy	9	22 0.2×	60 0.8×	23 0.5×	16 0.4×	46 1.6×	18	183
Yuming Lei United States	8	17 0.2×	98 1.2×	97 2.2×	30 0.7×	45 1.6×	9	357
Siting Wang China	11	183 2.0×	156 1.9×	25 0.6×	14 0.3×	19 0.7×	31	408
Ibrahim T. Mughrabi United States	9	66 0.7×	61 0.8×	27 0.6×	7 0.2×	113 4.0×	13	199
Alf Hutter United States	5	49 0.5×	42 0.5×	141 3.1×	9 0.2×	31 1.1×	7	322
Bradley J. Holinski United States	8	166 1.8×	109 1.4×	151 3.4×	66 1.5×	59 2.1×	10	306

Countries citing papers authored by Taegyo Kim

Since Specialization

Citations

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

Fields of papers citing papers by Taegyo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taegyo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Taegyo Kim. A scholar is included among the top collaborators of Taegyo Kim 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 Taegyo Kim. Taegyo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Barnett, William H., et al.. (2019). The interplay between cerebellum and basal ganglia in motor adaptation: A modeling study. PLoS ONE. 14(4). e0214926–e0214926. 11 indexed citations

2.

Kim, Taegyo, et al.. (2019). Highly Flexible Precisely Braided Multielectrode Probes and Combinatorics for Future Neuroprostheses. Frontiers in Neuroscience. 13. 613–613. 3 indexed citations

3.

Kim, Taegyo, et al.. (2019). The Functional Role of Striatal Cholinergic Interneurons in Reinforcement Learning From Computational Perspective. Frontiers in Neural Circuits. 13. 10–10. 15 indexed citations

4.

Kim, Taegyo, Yinghui Zhong, & Simon F. Giszter. (2019). Precise Tubular Braid Structures of Ultrafine Microwires as Neural Probes: Significantly Reduced Chronic Immune Response and Greater Local Neural Survival in Rat Cortex. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(5). 846–856. 3 indexed citations

5.

Teka, Wondimu, William H. Barnett, Taegyo Kim, et al.. (2017). From the motor cortex to the movement and back again. PLoS ONE. 12(6). e0179288–e0179288. 32 indexed citations

6.

Kim, Taegyo, et al.. (2017). Reward Based Motor Adaptation Mediated by Basal Ganglia. Frontiers in Computational Neuroscience. 11. 15 indexed citations

7.

Kim, Taegyo, et al.. (2016). Mixed-mode oscillations and population bursting in the pre-Bötzinger complex. eLife. 5. e13403–e13403. 35 indexed citations

8.

Wang, Zhicheng, Jia Nong, Zhiling Zhang, et al.. (2016). Local delivery of minocycline from metal ion-assisted self-assembled complexes promotes neuroprotection and functional recovery after spinal cord injury. Biomaterials. 112. 62–71. 74 indexed citations

9.

Kim, Taegyo, Almut Branner, Tanuj Gulati, & Simon F. Giszter. (2013). Braided multi-electrode probes: mechanical compliance characteristics and recordings from spinal cords. Journal of Neural Engineering. 10(4). 45001–45001. 22 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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