Inseon Song
-
- Neuroscience and Neuropharmacology Research 12
- Neuroscience and Neural Engineering 5
- Photoreceptor and optogenetics research 2
- Developmental Neuroscience top 10%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
- Neurology top 10%
-
- Ion channel regulation and function 5
- Lipid Membrane Structure and Behavior 2
-
- Genetics and Neurodevelopmental Disorders 2
-
- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Alexander DityatevDaesoo KimAlexey SemyanovHee‐Sup ShinTaehoon LeeMaureen W. McEnerySehoon KeumLeonid P. Savtchenko
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomJapanSouth Korea
In The Last Decade
Inseon Song
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 752
- Developmental Neuroscience 57
- Cognitive Neuroscience 261
- Neurology 89
- Molecular Biology 579
Countries citing papers authored by Inseon Song
This map shows the geographic impact of Inseon 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 Inseon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inseon Song more than expected).
Fields of papers citing papers by Inseon Song
This network shows the impact of papers produced by Inseon 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 Inseon Song. The network helps show where Inseon Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inseon 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 | 2023 | 2 | |
| 2 | 2021 | 4 | |
| 3 | 2021 | 3 | |
| 4 | 2018 | 64 | |
| 5 | 2017 | 192 | |
| 6 | 2013 | 26 | |
| 7 | 2013 | 46 | |
| 8 | 2013 | 38 | |
| 9 | 2011 | 104 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 14 | |
| 12 | 2008 | 34 | |
| 13 | 2006 | 7 | |
| 14 | 2006 | 91 | |
| 15 | 2004 | 109 | |
| 16 | 2002 | 15 | |
| 17 | 2001 | 410 |
About Inseon Song
Inseon Song is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (6 papers), Ion channel regulation and function (5 papers), Neuroscience and Neural Engineering (5 papers), Photoreceptor and optogenetics research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (752 citations), Developmental Neuroscience (57 citations) and Cognitive Neuroscience (261 citations). Inseon Song has collaborated with scholars based in United Kingdom, Japan and South Korea. Frequent co-authors include Alexander Dityatev, Daesoo Kim, Alexey Semyanov, Hee‐Sup Shin, Taehoon Lee, Maureen W. McEnery, Sehoon Keum, Leonid P. Savtchenko, Hee‐Sup Shin and Soonwook Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.