Song E. Kim

532 total citations
19 papers, 384 citations indexed

About

Song E. Kim is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Song E. Kim has authored 19 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Neurology. Recurrent topics in Song E. Kim's work include Transcranial Magnetic Stimulation Studies (4 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (2 papers). Song E. Kim is often cited by papers focused on Transcranial Magnetic Stimulation Studies (4 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (2 papers). Song E. Kim collaborates with scholars based in South Korea, United States and China. Song E. Kim's co-authors include Yoosoo Chang, Hocheol Shin, Hyung‐Lae Kim, Seungho Ryu, Hyang Woon Lee, Seong Gu Heo, Yeojun Yun, Han‐Na Kim, Min‐Jung Kwon and Juhee Cho and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Song E. Kim

16 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song E. Kim South Korea 9 138 98 67 50 45 19 384
Deepika Bagga Austria 11 208 1.5× 90 0.9× 22 0.3× 124 2.5× 72 1.6× 15 467
Rocío Del Pino Spain 13 89 0.6× 43 0.4× 41 0.6× 86 1.7× 65 1.4× 56 539
Zhangying Wu China 14 35 0.3× 86 0.9× 41 0.6× 161 3.2× 47 1.0× 44 492
Margarita Raycheva Bulgaria 11 103 0.7× 110 1.1× 39 0.6× 60 1.2× 13 0.3× 17 367
Turki Abualait Saudi Arabia 11 25 0.2× 40 0.4× 87 1.3× 114 2.3× 46 1.0× 64 408
Tomoko Arakaki Argentina 13 39 0.3× 72 0.7× 40 0.6× 109 2.2× 15 0.3× 27 760
Gonglin Hou China 9 53 0.4× 60 0.6× 41 0.6× 40 0.8× 9 0.2× 22 410
Haiko Schlögl Germany 11 94 0.7× 145 1.5× 19 0.3× 83 1.7× 28 0.6× 34 494
Nélida Garretto Argentina 13 38 0.3× 66 0.7× 33 0.5× 94 1.9× 14 0.3× 28 662
Donald James United States 12 81 0.6× 35 0.4× 80 1.2× 70 1.4× 10 0.2× 15 528

Countries citing papers authored by Song E. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Song E. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song E. Kim

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

All Works

19 of 19 papers shown
2.
Kim, Young Goo, et al.. (2022). Neuromodulation Using Transcranial Focused Ultrasound on the Bilateral Medial Prefrontal Cortex. Journal of Clinical Medicine. 11(13). 3809–3809. 25 indexed citations
3.
Yun, Ji Young, et al.. (2021). Can Corticomuscular Coherence Differentiate between REM Sleep Behavior Disorder with or without Parkinsonism?. Journal of Clinical Medicine. 10(23). 5585–5585. 4 indexed citations
4.
Kim, Hyeon Jin, Regina E. Y. Kim, Soriul Kim, et al.. (2021). Sex differences in deterioration of sleep properties associated with aging: a 12-year longitudinal cohort study. Journal of Clinical Sleep Medicine. 17(5). 964–972. 20 indexed citations
5.
Kim, Song E., et al.. (2021). CLOCK Genetic Variations Are Associated With Age-Related Changes in Sleep Duration and Brain Volume. The Journals of Gerontology Series A. 77(9). 1907–1914. 4 indexed citations
6.
Park, Yae Won, Song E. Kim, Kyunghwa Han, et al.. (2020). Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls. Scientific Reports. 10(1). 19567–19567. 27 indexed citations
7.
Kim, Song E., Young‐Don Son, Hang-Keun Kim, et al.. (2020). Association between human gray matter metabotropic glutamate receptor-5 availability in vivo and white matter properties: a [11C]ABP688 PET and diffusion tensor imaging study. Brain Structure and Function. 225(6). 1805–1816. 3 indexed citations
8.
Kim, Song E., Han‐Na Kim, Yeo-Jun Yun, et al.. (2017). Meta-analysis of genome-wide SNP- and pathway-based associations for facets of neuroticism. Journal of Human Genetics. 62(10). 903–909. 30 indexed citations
9.
Yun, Yeojun, Song E. Kim, Seong Gu Heo, et al.. (2017). Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort. BMC Microbiology. 17(1). 151–151. 139 indexed citations
10.
Yun, Yeojun, Han‐Na Kim, Song E. Kim, et al.. (2017). The Effect of Probiotics, Antibiotics, and Antipyretic Analgesics on Gut Microbiota Modification. Journal of Bacteriology and Virology. 47(1). 64–64. 2 indexed citations
11.
Kim, Song E.. (2017). The Development Of Contemporary Music By Korean Composers: Analyses Of Piano Works By Isang Yun, Young Jo Lee And U Zong Choe. Scholar Commons (University of South Carolina).
12.
Kim, Song E., Han‐Na Kim, Juhee Cho, et al.. (2016). Direct and Indirect Effects of Five Factor Personality and Gender on Depressive Symptoms Mediated by Perceived Stress. PLoS ONE. 11(4). e0154140–e0154140. 50 indexed citations
13.
Kim, Song E., et al.. (2016). Social Behavioral Problems and the Health-Related Quality of Life in Children and Adolescents with Epilepsy. Psychiatry Investigation. 13(5). 488–488. 7 indexed citations
14.
Lee, Jung Hwa, Song E. Kim, Chang-Hyun Park, Jeong Hyun Yoo, & Hyang Woon Lee. (2015). Gray and White Matter Volumes and Cognitive Dysfunction in Drug-Naïve Newly Diagnosed Pediatric Epilepsy. BioMed Research International. 2015. 1–10. 11 indexed citations
15.
Lee, Mina, Song E. Kim, Kyoung‐Gyu Choi, et al.. (2013). Interaction of Motor Training and Intermittent Theta Burst Stimulation in Modulating Motor Cortical Plasticity: Influence of BDNF Val66Met Polymorphism. PLoS ONE. 8(2). e57690–e57690. 35 indexed citations
16.
Kim, Song E., Byung Gon Kim, Dongil Chung, et al.. (2013). Spatiotemporal dynamics and functional correlates of evoked neural oscillations with different spectral powers in human visual cortex. Clinical Neurophysiology. 124(11). 2248–2256. 3 indexed citations
17.
Lee, Mina, Song E. Kim, Jooman Han, et al.. (2013). Cortico-Cortical Modulation Induced by 1-Hz Repetitive Transcranial Magnetic Stimulation of the Temporal Cortex. Journal of Clinical Neurology. 9(2). 75–75. 19 indexed citations
18.
Lee, Mina, Song E. Kim, Jooman Han, et al.. (2013). Cortico-Cortical Modulation Induced by 1-Hz Repetitive Transcranial Magnetic Stimulation of the Temporal Cortex. Journal of Clinical Neurology. 9(2). 75–75.
19.
Lee, Mina, Song E. Kim, Han Jo Kim, et al.. (2012). Acute and chronic effects of repeated 1 Hz rTMS on the temporal cortex. Neuroreport. 23(9). 540–545. 5 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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