Song E. Kim
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
-
- Functional Brain Connectivity Studies 3
- Co-authors
- Hyung‐Lae Kim (4 shared papers)Yoosoo Chang (4 shared papers)Seungho Ryu (4 shared papers)Hocheol Shin (4 shared papers)Hyang Woon Lee (13 shared papers)Seong Gu Heo (2 shared papers)Yeojun Yun (2 shared papers)Juhee Cho (2 shared papers)
- Journals
- Journal of Clinical Medicine (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)NeuroImage (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Song E. Kim
16 papers receiving 382 citations
Peers
Comparison fields: 5 of 95
- Neurology 67
- Biological Psychiatry 16
- Physiology 98
- Experimental and Cognitive Psychology 40
- Cognitive Neuroscience 50
Countries citing papers authored by Song E. Kim
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
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-authors
The 25 scholars most cited alongside Song E. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 139 | |
| 2 | 2016 | 50 | |
| 3 | 2013 | 35 | |
| 4 | 2017 | 30 | |
| 5 | 2020 | 27 | |
| 6 | 2022 | 25 | |
| 7 | 2021 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2015 | 11 | |
| 10 | 2016 | 7 | |
| 11 | 2012 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2025 | 0 | |
| 18 | The Development Of Contemporary Music By Korean Composers: Analyses Of Piano Works By Isang Yun, Young Jo Lee And U Zong Choe | 2017 | 0 |
| 19 | 2013 | 0 |
About Song E. Kim
Song E. Kim is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Molecular Biology and Experimental and Cognitive Psychology, having authored 19 papers that have together received 384 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (4 papers), Functional Brain Connectivity Studies (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Epilepsy research and treatment (2 papers), Gut microbiota and health (2 papers), Circadian rhythm and melatonin (2 papers), Vestibular and auditory disorders (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Neurology (67 citations), Biological Psychiatry (16 citations), Physiology (98 citations), Experimental and Cognitive Psychology (40 citations) and Cognitive Neuroscience (50 citations). Song E. Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hyung‐Lae Kim, Yoosoo Chang, Seungho Ryu, Hocheol Shin, Hyang Woon Lee, Seong Gu Heo, Yeojun Yun, Juhee Cho, Han‐Na Kim and Min‐Jung Kwon. Their work appears in journals such as Journal of Clinical Medicine, PLoS ONE, Scientific Reports, NeuroImage and Clinical Neurophysiology.
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.