SungWon Song

7 papers and 1.0k indexed citations i.

About

SungWon Song is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, SungWon Song has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Genetics. Recurrent topics in SungWon Song’s work include Neurogenetic and Muscular Disorders Research (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and CRISPR and Genetic Engineering (2 papers). SungWon Song is often cited by papers focused on Neurogenetic and Muscular Disorders Research (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and CRISPR and Genetic Engineering (2 papers). SungWon Song collaborates with scholars based in United States, Israel and Japan. SungWon Song's co-authors include Brian K. Kaspar, Carlos J. Miranda, Kathrin Meyer, Mark E. Hester, Meghan Rao, Matthew Murtha, Kevin D. Foust, Ashley E. Frakes, Shibi Likhite and Lyndsey Braun and has published in prestigious journals such as Nature Medicine, Neuron and Nature Biotechnology.

In The Last Decade

Co-authorship network of co-authors of SungWon Song i

Fields of papers citing papers by SungWon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by SungWon 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 SungWon Song. The network helps show where SungWon Song may publish in the future.

Countries citing papers authored by SungWon Song

Since Specialization
Citations

This map shows the geographic impact of SungWon 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 SungWon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SungWon Song more than expected).

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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2025