Min‐Kyu Song

46 papers and 582 indexed citations i.

About

Min‐Kyu Song is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Min‐Kyu Song has authored 46 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Min‐Kyu Song’s work include Advanced Memory and Neural Computing (12 papers), Photoreceptor and optogenetics research (8 papers) and Neuroscience and Neural Engineering (6 papers). Min‐Kyu Song is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Photoreceptor and optogenetics research (8 papers) and Neuroscience and Neural Engineering (6 papers). Min‐Kyu Song collaborates with scholars based in South Korea, United States and China. Min‐Kyu Song's co-authors include Jang‐Yeon Kwon, Seok Daniel Namgung, Ki Tae Nam, Ah-Jin Cho, Daehwan Choi, Dong‐Won Kang, Hyeohn Kim, Soon‐Soo Oh, Y.-S. Kim and Yoon‐Sik Lee and has published in prestigious journals such as Nature, Nature Communications and Nano Letters.

In The Last Decade

Co-authorship network of co-authors of Min‐Kyu Song i

Fields of papers citing papers by Min‐Kyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min‐Kyu Song

Since Specialization
Citations

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