Kevin Song

3.2k citations
18 papers · 2.2k indexed · 1 hit paper · h-index 9
Topics
Lipid Membrane Structure and Behavior (3 papers)Glycosylation and Glycoproteins Research (2 papers)Spectroscopy and Quantum Chemical Studies (2 papers)

In The Last Decade

Kevin Song

17 papers receiving 2.2k citations

Hit Papers

CHARMM-GUIMembrane Buildertoward realistic biological mem...2014202620182022201450010001.5k

Peers

Kevin Song
Comparison fields: 5 of 141
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 331
  • Atomic and Molecular Physics, and Optics 204
  • Biomedical Engineering 163
  • Spectroscopy 148
Replace Viviana Monje‐Galvan with:
Viviana Monje‐Galvan United States
Emilia L. Wu United States
Joseph B. Lim United States
Huan Rui United States
Ulrich Zachariae United Kingdom
Tao Yuan China
Clément Arnarez Netherlands
Gurpreet Singh India
Lu‐Yun Lian United Kingdom
Dhilon S. Patel United States
Kevin Song relative to Viviana Monje‐Galvan United States Viviana Monje‐Galvan's profile →
Citations per field
00.5×1.5×
Viviana Monje‐Galvan · 1×
Citations per year

Countries citing papers authored by Kevin Song

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin Song

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 3
3 5
4 22
5 6
6 11
7 0
8
CHARMM-GUIMembrane Buildertoward realistic biological membrane simulationsbreakdown →
1836
9 35
10 10
11 2
12 1
13 172
14 4
15 53
16 28
17 4
18 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) and Spectroscopy and Quantum Chemical Studies (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.

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