Mi‐Kyung Song

48 papers and 574 indexed citations i.

About

Mi‐Kyung Song is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Mi‐Kyung Song has authored 48 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Health, Toxicology and Mutagenesis and 15 papers in Cancer Research. Recurrent topics in Mi‐Kyung Song’s work include Carcinogens and Genotoxicity Assessment (12 papers), Air Quality and Health Impacts (8 papers) and Toxic Organic Pollutants Impact (7 papers). Mi‐Kyung Song is often cited by papers focused on Carcinogens and Genotoxicity Assessment (12 papers), Air Quality and Health Impacts (8 papers) and Toxic Organic Pollutants Impact (7 papers). Mi‐Kyung Song collaborates with scholars based in South Korea. Mi‐Kyung Song's co-authors include Jae‐Chun Ryu, Kyuhong Lee, Dong Im Kim, Mee Song, Yong‐Keun Park, Eunil Lee, Youn‐Jung Kim, Hansaem Choi, Youn-Jung Kim and Youn‐Jung Kim and has published in prestigious journals such as Environmental Science & Technology, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Mi‐Kyung Song i

Fields of papers citing papers by Mi‐Kyung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mi‐Kyung Song

Since Specialization
Citations

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