Song Mi Moon

127 total papers · 2.0k total citations
74 papers, 1.0k citations indexed

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 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Epidemiology, 34 papers in Infectious Diseases and 15 papers in Applied Microbiology and Biotechnology. Recurrent topics in Song Mi Moon's work include Antibiotic Use and Resistance (15 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 (15 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, Yong Pil Chong, Ki–Ho Park, Jin‐Yong Jeong and Tark Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Song Mi Moon

68 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Song Mi Moon 546 496 210 194 143 74 1.0k
Marc Dangel 346 0.6× 575 1.2× 294 1.4× 187 1.0× 112 0.8× 47 1.1k
E.G. Smyth 373 0.7× 459 0.9× 139 0.7× 295 1.5× 83 0.6× 62 988
Patrick J. Gavin 481 0.9× 472 1.0× 146 0.7× 107 0.6× 76 0.5× 61 1.2k
Kordo Saeed 385 0.7× 290 0.6× 203 1.0× 146 0.8× 146 1.0× 75 1.0k
Ana Fernández‐Cruz 514 0.9× 707 1.4× 90 0.4× 140 0.7× 122 0.9× 72 1.2k
Tark Kim 485 0.9× 689 1.4× 141 0.7× 88 0.5× 63 0.4× 70 1.2k
Hyo Youl Kim 594 1.1× 359 0.7× 143 0.7× 141 0.7× 77 0.5× 91 1.1k
Eui Chong Kim 468 0.9× 448 0.9× 127 0.6× 174 0.9× 110 0.8× 73 1.1k
Aaron E. Glatt 548 1.0× 676 1.4× 191 0.9× 142 0.7× 49 0.3× 46 1.2k
Cheng‐Mao Ho 445 0.8× 413 0.8× 202 1.0× 211 1.1× 123 0.9× 43 1.2k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Song Mi Moon. A scholar is included among the top collaborators of Song Mi Moon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Song Mi Moon. Song Mi Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026