Su Bin Moon

About

Su Bin Moon is a scholar working on Molecular Biology, Immunology and Business and International Management. According to data from OpenAlex, Su Bin Moon has authored 8 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Business and International Management. Recurrent topics in Su Bin Moon’s work include CRISPR and Genetic Engineering (5 papers), RNA regulation and disease (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Su Bin Moon is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA regulation and disease (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Su Bin Moon collaborates with scholars based in South Korea. Su Bin Moon's co-authors include Do Yon Kim, Yong-Sam Kim, Jeong-Heon Ko, Daesik Kim, Yong-Sam Kim, Jeong‐Heon Ko, Seyeon Park, Taeyoung Koo, Jin‐Soo Kim and Jeong Gu Kang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Co-authorship network of co-authors of Su Bin Moon i

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Fields of papers citing papers by Su Bin Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Bin Moon

Since Specialization

Citations

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