Saemee Song

29 papers and 985 indexed citations i.

About

Saemee Song is a scholar working on Genetics, Molecular Medicine and Endocrinology. According to data from OpenAlex, Saemee Song has authored 29 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 13 papers in Molecular Medicine and 12 papers in Endocrinology. Recurrent topics in Saemee Song’s work include Bacterial Genetics and Biotechnology (16 papers), Antibiotic Resistance in Bacteria (13 papers) and Vibrio bacteria research studies (8 papers). Saemee Song is often cited by papers focused on Bacterial Genetics and Biotechnology (16 papers), Antibiotic Resistance in Bacteria (13 papers) and Vibrio bacteria research studies (8 papers). Saemee Song collaborates with scholars based in South Korea, United States and New Zealand. Saemee Song's co-authors include Nam‐Chul Ha, H. M. Jennings, Donggy Sohn, Thomas O. Mason, Kangseok Lee, Heather W. Pinkett, Jinsik Kim, Kevin M. Mason, Inseong Jo and In-Young Chung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

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

Fields of papers citing papers by Saemee Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saemee Song

Since Specialization
Citations

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