Yoon‐Kyu Song

2.6k total citations
86 papers, 1.9k citations indexed

About

Yoon‐Kyu Song is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Yoon‐Kyu Song has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cellular and Molecular Neuroscience, 32 papers in Electrical and Electronic Engineering and 31 papers in Cognitive Neuroscience. Recurrent topics in Yoon‐Kyu Song's work include Neuroscience and Neural Engineering (40 papers), Photoreceptor and optogenetics research (22 papers) and GaN-based semiconductor devices and materials (21 papers). Yoon‐Kyu Song is often cited by papers focused on Neuroscience and Neural Engineering (40 papers), Photoreceptor and optogenetics research (22 papers) and GaN-based semiconductor devices and materials (21 papers). Yoon‐Kyu Song collaborates with scholars based in United States, South Korea and Ethiopia. Yoon‐Kyu Song's co-authors include A. V. Nurmikko, Jung Han, Hao Zhou, A. V. Nurmikko, Farah Laiwalla, William R. Patterson, Christopher W. Bull, Ilker Ozden, Barry W. Connors and M. Diagne and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied Physics Letters.

In The Last Decade

Yoon‐Kyu Song

80 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon‐Kyu Song United States 24 811 675 652 574 442 86 1.9k
Lan Luan United States 21 963 1.2× 483 0.7× 298 0.5× 513 0.9× 538 1.2× 44 1.9k
Michele Dipalo Italy 25 684 0.8× 479 0.7× 315 0.5× 1.0k 1.8× 109 0.2× 63 1.9k
Yael Hanein Israel 34 1.5k 1.8× 1.1k 1.6× 279 0.4× 1.3k 2.3× 567 1.3× 123 3.5k
Yen‐Chung Chang Taiwan 25 541 0.7× 926 1.4× 212 0.3× 246 0.4× 145 0.3× 78 1.8k
Hieu Pham Trung Nguyen United States 28 338 0.4× 825 1.2× 2.0k 3.0× 848 1.5× 489 1.1× 161 3.9k
David Bono United States 24 371 0.5× 944 1.4× 455 0.7× 370 0.6× 295 0.7× 57 3.1k
Tatsuo Yoshinobu Japan 36 244 0.3× 2.1k 3.2× 159 0.2× 876 1.5× 129 0.3× 201 3.6k
Jörg Scholvin United States 11 542 0.7× 425 0.6× 167 0.3× 408 0.7× 279 0.6× 24 1.6k
Tianzhun Wu China 26 300 0.4× 672 1.0× 67 0.1× 555 1.0× 114 0.3× 102 2.1k
Sen Wai Kwok United States 18 138 0.2× 366 0.5× 254 0.4× 1.1k 1.9× 114 0.3× 22 2.7k

Countries citing papers authored by Yoon‐Kyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Yoon‐Kyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon‐Kyu Song

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

All Works

20 of 20 papers shown
2.
Hwang, Kihwan, et al.. (2024). Nucleolin-Targeting AS1411 Aptamer-Conjugated Nanospheres for Targeted Treatment of Glioblastoma. Pharmaceutics. 16(4). 566–566. 6 indexed citations
3.
Kim, Chae‐Yong, et al.. (2024). DDEL-09. AS1411 APTAMER-CONJUGATED NANOSPHERES FOR TARGETING GLIOBLASTOMA THERAPY. Neuro-Oncology. 26(Supplement_8). viii122–viii123. 1 indexed citations
4.
Kang, Jeongmin, et al.. (2022). Eco-Friendly Keratin-Based Additives in the Polymer Matrix to Enhance the Output of Triboelectric Nanogenerators. ACS Applied Bio Materials. 5(12). 5706–5715. 11 indexed citations
5.
Song, Yoon‐Kyu, et al.. (2022). A trafficking motif alters GEVI activity implicating persistent protein interactions at the membrane. SHILAP Revista de lepidopterología. 2(2). 100047–100047. 2 indexed citations
6.
Kim, Sunhyo, et al.. (2020). Investigation of stereotactic surgery for avian brain stimulation by a fully implanted wireless system. Neurosurgical FOCUS. 49(1). E10–E10. 3 indexed citations
7.
Song, Yoon‐Kyu, et al.. (2020). An efficient cell type specific conjugating method for incorporating various nanostructures to genetically encoded AviTag expressed optogenetic opsins. Biochemical and Biophysical Research Communications. 530(3). 581–587. 1 indexed citations
8.
Kim, Sunhyo, Sunhyo Kim, Jeong Hoan Park, et al.. (2019). A handheld neural stimulation controller for avian navigation guided by remote control. Bio-Medical Materials and Engineering. 30(5-6). 497–507. 10 indexed citations
9.
Song, Yoon‐Kyu, et al.. (2019). Engineering Photoactivatability in Genetically Encoded Voltage and pH Indicators. Frontiers in Cellular Neuroscience. 13. 482–482. 4 indexed citations
10.
Kim, Sunhyo, Jungmin Seo, Kangmoon Seo, et al.. (2019). A Fully Implantable Wireless Stimulation System for Pigeon Navigation. PubMed. 2019. 5310–5313. 3 indexed citations
11.
Sung, Uhna, et al.. (2016). Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors. Journal of Visualized Experiments.
12.
Lee, Joonhee, Ilker Ozden, Yoon‐Kyu Song, & A. V. Nurmikko. (2015). Transparent intracortical microprobe array for simultaneous spatiotemporal optical stimulation and multichannel electrical recording. Nature Methods. 12(12). 1157–1162. 98 indexed citations
13.
Park, Jeong, Jin Kim, Yoon‐Kyu Song, et al.. (2013). Design of an Analog Front End for a Bio-Inspired Auditory Sensor of a Novel Totally Implantable Cochlear Implant. Sensors and Materials. 553–553. 2 indexed citations
14.
Song, Yoon‐Kyu, David A. Borton, William R. Patterson, et al.. (2009). Active Microelectronic Neurosensor Arrays for Implantable Brain Communication Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 17(4). 339–345. 67 indexed citations
15.
Borton, David A., Yoon‐Kyu Song, William R. Patterson, et al.. (2009). Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem. PubMed. 13. 5531–5534. 13 indexed citations
16.
Davitt, Kristina, et al.. (2004). Fluorescence spectra from individual microsized bioaerosols excited by a sequentially fired UV-LED linear array. 1 indexed citations
17.
Patterson, William R., Yoon‐Kyu Song, Christopher W. Bull, et al.. (2004). A Microelectrode/Microelectronic Hybrid Device for Brain Implantable Neuroprosthesis Applications. IEEE Transactions on Biomedical Engineering. 51(10). 1845–1853. 81 indexed citations
18.
Peng, Hongbo, Eleni Makarona, Yoon‐Kyu Song, et al.. (2004). Ultraviolet light-emitting diodes operating in the 340nm wavelength range and application to time-resolved fluorescence spectroscopy. Applied Physics Letters. 85(8). 1436–1438. 35 indexed citations
19.
Song, Yoon‐Kyu, Hao Zhou, M. Diagne, et al.. (2000). A quasi-continuous wave, optically pumped violet vertical cavity surface emitting laser. 37–38. 1 indexed citations
20.
Han, Jung, Mary H. Crawford, R. J. Shul, et al.. (1998). AlGaN/GaN quantum well ultraviolet light emitting diodes. Applied Physics Letters. 73(12). 1688–1690. 191 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026