Sun Kwang Kim

3.0k total citations
98 papers, 2.2k citations indexed

About

Sun Kwang Kim is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Sun Kwang Kim has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Physiology, 25 papers in Cellular and Molecular Neuroscience and 23 papers in Pharmacology. Recurrent topics in Sun Kwang Kim's work include Pain Mechanisms and Treatments (55 papers), Acupuncture Treatment Research Studies (22 papers) and Healthcare and Venom Research (20 papers). Sun Kwang Kim is often cited by papers focused on Pain Mechanisms and Treatments (55 papers), Acupuncture Treatment Research Studies (22 papers) and Healthcare and Venom Research (20 papers). Sun Kwang Kim collaborates with scholars based in South Korea, Japan and Puerto Rico. Sun Kwang Kim's co-authors include Hyunsu Bae, Junichi Nabekura, Woojin Kim, Byung-Il Min, Schuichi Koizumi, Ji Hwan Lee, Geehoon Chung, Dong Suk Park, Gihyun Lee and Heung Sik Na and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Sun Kwang Kim

96 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Kwang Kim South Korea 29 1.0k 602 586 437 339 98 2.2k
Dae‐Hyun Roh South Korea 33 1.2k 1.1× 716 1.2× 334 0.6× 806 1.8× 1.0k 3.0× 85 2.6k
Yeong‐Ray Wen Taiwan 21 1.7k 1.6× 396 0.7× 284 0.5× 873 2.0× 412 1.2× 55 2.6k
Heung Sik Na South Korea 26 1.4k 1.4× 435 0.7× 276 0.5× 726 1.7× 686 2.0× 60 2.4k
Ceng Luo China 25 1.1k 1.1× 438 0.7× 100 0.2× 667 1.5× 539 1.6× 61 1.7k
Sangsu Bang United States 25 941 0.9× 125 0.2× 158 0.3× 598 1.4× 607 1.8× 39 2.4k
Yasuhiko Kawasaki United States 16 2.7k 2.6× 486 0.8× 128 0.2× 1.6k 3.7× 720 2.1× 22 3.7k
Fabien Marchand France 26 2.6k 2.5× 505 0.8× 104 0.2× 1.7k 3.9× 758 2.2× 52 4.3k
Steve McGaraughty United States 33 1.4k 1.3× 264 0.4× 152 0.3× 911 2.1× 800 2.4× 75 2.8k
Anna K. Clark United Kingdom 26 2.5k 2.4× 379 0.6× 122 0.2× 1.5k 3.5× 726 2.1× 29 3.9k
Dong Kuk Ahn South Korea 30 1.3k 1.2× 184 0.3× 88 0.2× 893 2.0× 516 1.5× 109 2.2k

Countries citing papers authored by Sun Kwang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun Kwang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun Kwang Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Kwang Kim. A scholar is included among the top collaborators of Sun Kwang 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 Sun Kwang Kim. Sun Kwang Kim 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.
Lee, Ji Hwan, Jinhee Baek, Yong‐Seok Lee, et al.. (2025). Cerebellar Bergmann glia integrate noxious information and modulate nocifensive behaviors. Nature Neuroscience. 28(2). 336–345. 1 indexed citations
2.
3.
Kim, Sung Eun, Geehoon Chung, & Sun Kwang Kim. (2025). Phytochemical-based therapeutics from traditional eastern medicine: analgesic effects and ion channel modulation. Frontiers in Pain Research. 6. 1537154–1537154. 1 indexed citations
4.
Lee, Kyungjoon, et al.. (2024). Low-frequency auricular vagus nerve stimulation facilitates cerebrospinal fluid influx by promoting vasomotion. Korean Journal of Physiology and Pharmacology. 29(1). 109–116. 1 indexed citations
5.
6.
Dembitskaya, Yulia, Andrew K. J. Boyce, Misa Arizono, et al.. (2023). Shadow imaging for panoptical visualization of brain tissue in vivo. Nature Communications. 14(1). 6411–6411. 6 indexed citations
7.
Chung, Geehoon, et al.. (2023). Magnolin Inhibits Paclitaxel-Induced Cold Allodynia and ERK1/2 Activation in Mice. Plants. 12(12). 2283–2283. 12 indexed citations
8.
Kim, Doyun, Geehoon Chung, Jae Hyun Park, et al.. (2023). An Automated Cell Detection Method for TH-positive Dopaminergic Neurons in a Mouse Model of Parkinson’s Disease Using Convolutional Neural Networks. Experimental Neurobiology. 32(3). 181–194. 3 indexed citations
9.
10.
Shigetomi, Eiji, Kenji Kobayashi, Tatsuya Ishikawa, et al.. (2022). Transient astrocytic mGluR5 expression drives synaptic plasticity and subsequent chronic pain in mice. The Journal of Experimental Medicine. 219(4). 38 indexed citations
11.
Lee, Jin Su, Ji Hwan Lee, Ji Young Kim, et al.. (2021). Aromatic and Aliphatic Apiuronides from the Bark of Cinnamomum cassia. Journal of Natural Products. 84(3). 553–561. 16 indexed citations
12.
Ryu, Changhyeon, Chang-Eop Kim, Yong Gyu Kim, et al.. (2020). Direct translation of climbing fiber burst-mediated sensory coding into post-synaptic Purkinje cell dendritic calcium. eLife. 9. 12 indexed citations
13.
Heo, Ho Jin, et al.. (2019). Analgesic Effect of Melittin on Oxaliplatin-Induced Peripheral Neuropathy in Rats. Toxins. 11(7). 396–396. 31 indexed citations
14.
Kim, Hyunseong, Hyojung Lee, Gihyun Lee, et al.. (2015). Phospholipase A2 inhibits cisplatin-induced acute kidney injury by modulating regulatory T cells by the CD206 mannose receptor. Kidney International. 88(3). 550–559. 49 indexed citations
15.
Kim, Seong‐Kyu, Seong‐Kyu Kim, Ha‐Neul Kim, et al.. (2014). Gyejigachulbu‐Tang Relieves Oxaliplatin‐Induced Neuropathic Cold and Mechanical Hypersensitivity in Rats via the Suppression of Spinal Glial Activation. Evidence-based Complementary and Alternative Medicine. 2014(1). 436482–436482. 21 indexed citations
16.
Lee, Jihye, et al.. (2014). Serotonergic mechanism of the relieving effect of bee venom acupuncture on oxaliplatin-induced neuropathic cold allodynia in rats. BMC Complementary and Alternative Medicine. 14(1). 471–471. 39 indexed citations
17.
Kim, Sun Kwang & Junichi Nabekura. (2011). Rapid Synaptic Remodeling in the Adult Somatosensory Cortex following Peripheral Nerve Injury and Its Association with Neuropathic Pain. Journal of Neuroscience. 31(14). 5477–5482. 91 indexed citations
18.
Kim, Sun Kwang, Jongyoon Kim, Hyejung Lee, et al.. (2009). Electroacupuncture induces Fos expression in the nucleus tractus solitarius via cholecystokinin A receptor signaling in rats. Neurological Research. 32(sup1). 116–119. 8 indexed citations
19.
Kim, Sun Kwang, Youngseop Lee, Hyunjoo Cho, et al.. (2009). A Parametric Study on the Immunomodulatory Effects of Electroacupuncture in DNP‐KLH Immunized Mice. Evidence-based Complementary and Alternative Medicine. 2011(1). 389063–389063. 12 indexed citations
20.
Kim, Sun Kwang, et al.. (2007). Genes Associated with Individual Variation of Electroacupuncture Anti-allodynic Effects in Rat. 21(5). 1285–1290. 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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