Kevin Song
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 3
- Glycosylation and Glycoproteins Research 2
- Extracellular vesicles in disease 2
- Protein Structure and Dynamics 2
- Planarian Biology and Electrostimulation 2
- Microbiology top 5%
- Sensory Systems top 10%
- Spectroscopy top 5%
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- Spectroscopy and Quantum Chemical Studies 2
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- Electron Spin Resonance Studies 2
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- MicroRNA in disease regulation 2
- Co-authors
- Wonpil ImSunhwan JoJeffery B. KlaudaYifei QiEmilia L. WuRichard M. VenableJumin LeeViviana Monje‐Galvan
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Kevin Song
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.7k
- Microbiology 123
- Cellular and Molecular Neuroscience 331
- Sensory Systems 49
- Spectroscopy 148
Countries citing papers authored by Kevin Song
This map shows the geographic impact of Kevin 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 Kevin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Song more than expected).
Fields of papers citing papers by Kevin Song
This network shows the impact of papers produced by Kevin 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 Kevin Song. The network helps show where Kevin Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 11 | |
| 7 | 2015 | 0 | |
| 8 | CHARMM-GUIMembrane Buildertoward realistic biological membrane simulationsbreakdown → | 2014 | 1836 |
| 9 | 2014 | 35 | |
| 10 | 2013 | 10 | |
| 11 | 2012 | 2 | |
| 12 | 2011 | 1 | |
| 13 | 2011 | 172 | |
| 14 | 2011 | 4 | |
| 15 | 2011 | 53 | |
| 16 | 2011 | 28 | |
| 17 | 2011 | 4 | |
| 18 | 2003 | 24 |
About Kevin Song
Kevin Song is a scholar working on Biophysics, Sensory Systems and Molecular Biology, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Glycosylation and Glycoproteins Research (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Extracellular vesicles in disease (2 papers), Protein Structure and Dynamics (2 papers), Electron Spin Resonance Studies (2 papers), Planarian Biology and Electrostimulation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Microbiology (123 citations) and Cellular and Molecular Neuroscience (331 citations). Kevin Song has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Wonpil Im, Sunhwan Jo, Jeffery B. Klauda, Yifei Qi, Emilia L. Wu, Richard M. Venable, Jumin Lee, Viviana Monje‐Galvan, Huan Rui and Xi Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physical Chemistry B.
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.