Sunbin Song
Impact in
- Cognitive Neuroscience top 5%
- Motor Control and Adaptation
- Sleep and Wakefulness Research
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
-
- Motor Control and Adaptation 7
- Neuroscience and Music Perception 6
- Sleep and Wakefulness Research 4
- EEG and Brain-Computer Interfaces 2
-
- Action Observation and Synchronization 5
- Co-authors
- James H. Howard (4 shared papers)Darlene V. Howard (4 shared papers)Leonardo G. Cohen (7 shared papers)Marco Sandrini (1 shared paper)Adam Steel (2 shared papers)Leonardo G. Cohen (1 shared paper)Ethan R. Buch (1 shared paper)Stephen J. Gotts (2 shared papers)
- Journals
- Learning & Memory (2 papers)Behavioural Brain Research (2 papers)Nature Communications (1 paper)Journal of Cognitive Neuroscience (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Sunbin Song
18 papers receiving 722 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 601
- Neurology 94
- Developmental and Educational Psychology 141
- Experimental and Cognitive Psychology 125
- Social Psychology 130
Countries citing papers authored by Sunbin Song
This map shows the geographic impact of Sunbin 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 Sunbin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunbin Song more than expected).
Fields of papers citing papers by Sunbin Song
This network shows the impact of papers produced by Sunbin 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 Sunbin Song. The network helps show where Sunbin Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunbin Song, 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 | 2007 | 156 | |
| 2 | 2007 | 97 | |
| 3 | 2008 | 71 | |
| 4 | 2008 | 65 | |
| 5 | 2015 | 60 | |
| 6 | 2011 | 44 | |
| 7 | 2015 | 44 | |
| 8 | 2011 | 36 | |
| 9 | 2014 | 34 | |
| 10 | 2008 | 28 | |
| 11 | 2001 | 27 | |
| 12 | 2014 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2017 | 13 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2019 | 2 |
About Sunbin Song
Sunbin Song is a scholar working on Cognitive Neuroscience, Social Psychology, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Neurology, having authored 18 papers that have together received 744 indexed citations. Recurring topics across this work include Motor Control and Adaptation (7 papers), Neuroscience and Music Perception (6 papers), Action Observation and Synchronization (5 papers), Sleep and Wakefulness Research (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (601 citations), Neurology (94 citations), Developmental and Educational Psychology (141 citations), Experimental and Cognitive Psychology (125 citations) and Social Psychology (130 citations). Sunbin Song has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include James H. Howard, Darlene V. Howard, Leonardo G. Cohen, Marco Sandrini, Adam Steel, Leonardo G. Cohen, Ethan R. Buch, Stephen J. Gotts, Nikhil Sharma and Lúcia Garrido. Their work appears in journals such as Learning & Memory, Behavioural Brain Research, Nature Communications, Journal of Cognitive Neuroscience and Biochemistry.
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.