Minkyung Song

66 papers and 2.7k indexed citations i.

About

Minkyung Song is a scholar working on Molecular Biology, Pharmacology and Materials Chemistry. According to data from OpenAlex, Minkyung Song has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Pharmacology and 8 papers in Materials Chemistry. Recurrent topics in Minkyung Song’s work include Anaerobic Digestion and Biogas Production (6 papers), Fungal Biology and Applications (6 papers) and Dementia and Cognitive Impairment Research (5 papers). Minkyung Song is often cited by papers focused on Anaerobic Digestion and Biogas Production (6 papers), Fungal Biology and Applications (6 papers) and Dementia and Cognitive Impairment Research (5 papers). Minkyung Song collaborates with scholars based in South Korea, United States and France. Minkyung Song's co-authors include Seokhwan Hwang, Juan R. Cubillos‐Ruiz, Yeon‐Tae Yu, Yun-Su Kim, Prabhakar Rai, Ilya Gukovsky, Darleen A. Sandoval, Vjekoslav Zaninovic, Anna S. Gukovskaya and Stephen J. Pandol and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

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

Fields of papers citing papers by Minkyung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minkyung Song

Since Specialization
Citations

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