Sang Beom Jun

3.6k total citations · 1 hit paper
73 papers, 2.5k citations indexed

About

Sang Beom Jun is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sang Beom Jun has authored 73 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cellular and Molecular Neuroscience, 27 papers in Cognitive Neuroscience and 19 papers in Biomedical Engineering. Recurrent topics in Sang Beom Jun's work include Neuroscience and Neural Engineering (43 papers), Photoreceptor and optogenetics research (21 papers) and EEG and Brain-Computer Interfaces (12 papers). Sang Beom Jun is often cited by papers focused on Neuroscience and Neural Engineering (43 papers), Photoreceptor and optogenetics research (21 papers) and EEG and Brain-Computer Interfaces (12 papers). Sang Beom Jun collaborates with scholars based in South Korea, United States and Puerto Rico. Sang Beom Jun's co-authors include David M. Lovinger, Steven S. Vogel, Michael Pham, Rui M. Costa, Guohong Cui, Xin Jin, Sung June Kim, Hyun‐Seuk Moon, Karl Kevala and Jeffrey J. Kim and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

Sang Beom Jun

69 papers receiving 2.5k citations

Hit Papers

Concurrent activation of striatal direct and indirect pat... 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Beom Jun South Korea 22 1.5k 767 468 463 341 73 2.5k
Yuki Hashimotodani Japan 20 3.0k 2.0× 1.5k 1.9× 621 1.3× 394 0.9× 99 0.3× 30 4.7k
Johanna M. Montgomery New Zealand 29 1.3k 0.9× 750 1.0× 1.0k 2.2× 201 0.4× 68 0.2× 80 2.8k
Raag D. Airan United States 24 1.9k 1.3× 1.1k 1.5× 799 1.7× 581 1.3× 283 0.8× 43 3.7k
Youngnam Kang Japan 27 1.4k 1.0× 703 0.9× 890 1.9× 374 0.8× 205 0.6× 95 2.6k
Julie J. Mirzabekov United States 6 2.2k 1.5× 1.4k 1.9× 1.3k 2.7× 478 1.0× 132 0.4× 6 4.5k
Omar S. Mabrouk United States 27 1.3k 0.9× 504 0.7× 909 1.9× 191 0.4× 365 1.1× 48 2.4k
Lisa A. Gunaydin United States 14 3.0k 2.0× 1.8k 2.4× 878 1.9× 422 0.9× 124 0.4× 20 4.3k
Guohong Cui United States 18 1.5k 1.0× 1.0k 1.3× 773 1.7× 85 0.2× 422 1.2× 28 2.7k
A.J. Hodgson Australia 21 1.7k 1.2× 596 0.8× 886 1.9× 342 0.7× 131 0.4× 32 2.8k
Soo‐Hyun Lee South Korea 19 2.8k 1.9× 2.4k 3.1× 1.1k 2.4× 247 0.5× 103 0.3× 42 4.3k

Countries citing papers authored by Sang Beom Jun

Since Specialization
Citations

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

Fields of papers citing papers by Sang Beom Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Beom Jun. 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 Sang Beom Jun. The network helps show where Sang Beom Jun may publish in the future.

Co-authorship network of co-authors of Sang Beom Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Beom Jun. A scholar is included among the top collaborators of Sang Beom Jun 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 Sang Beom Jun. Sang Beom Jun 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
1.
Kong, Chanho, et al.. (2023). Amygdala electrical stimulation for operant conditioning in rat navigation. Biomedical Engineering Letters. 14(2). 291–306.
2.
Noh, Kyungchul, Woo-Hyun Cho, Byung Hun Lee, et al.. (2023). Cortical astrocytes modulate dominance behavior in male mice by regulating synaptic excitatory and inhibitory balance. Nature Neuroscience. 26(9). 1541–1554. 30 indexed citations
3.
Jun, Sang Beom, et al.. (2023). Ultrasound neuromodulation of cultured hippocampal neurons. Biomedical Engineering Letters. 14(1). 79–89. 2 indexed citations
4.
Jun, Sang Beom, et al.. (2023). Pupillometry as a window to detect cognitive aging in the brain. Biomedical Engineering Letters. 14(1). 91–101. 1 indexed citations
5.
Koh, Chin Su, Sang Beom Jun, Jin Woo Chang, et al.. (2023). Liquid Crystal Polymer-Based Miniaturized Fully Implantable Deep Brain Stimulator. Polymers. 15(22). 4439–4439. 1 indexed citations
6.
Cho, Woo-Hyun, Kyungchul Noh, Byung Hun Lee, et al.. (2022). Hippocampal astrocytes modulate anxiety-like behavior. Nature Communications. 13(1). 6536–6536. 78 indexed citations
7.
Kim, Yong-Kweon, et al.. (2022). Silicon optrode array with monolithically integrated SU-8 waveguide and single LED light source. Journal of Neural Engineering. 19(4). 46013–46013. 7 indexed citations
8.
Jun, Sang Beom, et al.. (2022). Co-culture platform for neuron-astrocyte interaction using optogenetic modulation. Biomedical Engineering Letters. 12(4). 401–411. 3 indexed citations
9.
Koh, Chin Su, et al.. (2022). Somatosensory ECoG-based brain–machine interface with electrical stimulation on medial forebrain bundle. Biomedical Engineering Letters. 13(1). 85–95. 1 indexed citations
10.
Jun, Sang Beom, et al.. (2021). Fabrication of Planar Microelectrode Array Using Laser-Patterned ITO and SU-8. Micromachines. 12(11). 1347–1347. 10 indexed citations
11.
Jun, Sang Beom, et al.. (2021). Implantable Optrode Array for Optogenetic Modulation and Electrical Neural Recording. Micromachines. 12(6). 725–725. 6 indexed citations
12.
Jun, Sang Beom, et al.. (2020). Hemispherical Microelectrode Array for Ex Vivo Retinal Neural Recording. Micromachines. 11(5). 538–538. 7 indexed citations
13.
Kong, Chanho, et al.. (2019). Carbon-Fiber Based Microelectrode Array Embedded with a Biodegradable Silk Support for In Vivo Neural Recording. Journal of Korean Medical Science. 34(4). e24–e24. 19 indexed citations
14.
Barcelon, Ellane, Woo-Hyun Cho, Sang Beom Jun, & Sung Joong Lee. (2019). Brain Microglial Activation in Chronic Pain-Associated Affective Disorder. Frontiers in Neuroscience. 13. 213–213. 92 indexed citations
15.
Byun, Kyung Min, et al.. (2018). Theoretical Study on Gold-Nanorod-Enhanced Near-Infrared Neural Stimulation. Biophysical Journal. 115(8). 1481–1497. 23 indexed citations
16.
Kim, Junghoon, Joonsoo Jeong, Sung Yun Lee, et al.. (2016). High Charge Storage Capacity Electrodeposited Iridium Oxide Film on Liquid Crystal Polymer-Based Neural Electrodes. Sensors and Materials. 1–1. 3 indexed citations
17.
Jun, Sang Beom, et al.. (2013). Modiolus-Hugging Intracochlear Electrode Array with Shape Memory Alloy. Computational and Mathematical Methods in Medicine. 2013. 1–9. 14 indexed citations
18.
Jeong, Joonsoo, et al.. (2012). Liquid Crystal Polymer (LCP), an Attractive Substrate for Retinal Implant. Sensors and Materials. 189–189. 36 indexed citations
19.
Kim, Shin Ae, Sung June Kim, Hyowon Moon, & Sang Beom Jun. (2012). In vivo optical neural recording using fiber-based surface plasmon resonance. Optics Letters. 37(4). 614–614. 45 indexed citations
20.
Jun, Sang Beom, Matthew R. Hynd, Natalie Dowell‐Mesfin, et al.. (2005). ANALYSIS OF LOW-DENSITY NEURONAL NETWORKS ON MICROCONTACT PRINTED MICROELECTRODE ARRAYS. Seoul National University Open Repository (Seoul National University). 94. 430–6. 1 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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