Song Mi Moon

71 papers and 977 indexed citations i.

About

Song Mi Moon is a scholar working on Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology. According to data from OpenAlex, Song Mi Moon has authored 71 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Epidemiology, 34 papers in Infectious Diseases and 14 papers in Applied Microbiology and Biotechnology. Recurrent topics in Song Mi Moon’s work include Antibiotic Use and Resistance (14 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Antimicrobial Resistance in Staphylococcus (12 papers). Song Mi Moon is often cited by papers focused on Antibiotic Use and Resistance (14 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Antimicrobial Resistance in Staphylococcus (12 papers). Song Mi Moon collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Song Mi Moon's co-authors include Sang‐Ho Choi, Sung‐Han Kim, Jun Hee Woo, Yang Soo Kim, Sang‐Oh Lee, Mi‐Na Kim, Ki–Ho Park, Yong Pil Chong, Jin‐Yong Jeong and So-Youn Park and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Song Mi Moon i

Fields of papers citing papers by Song Mi Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Mi Moon

Since Specialization
Citations

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