Doe Sun Na

38 papers and 1.0k indexed citations i.

About

Doe Sun Na is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Doe Sun Na has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Immunology. Recurrent topics in Doe Sun Na’s work include S100 Proteins and Annexins (11 papers), Chemokine receptors and signaling (8 papers) and Cell Adhesion Molecules Research (7 papers). Doe Sun Na is often cited by papers focused on S100 Proteins and Annexins (11 papers), Chemokine receptors and signaling (8 papers) and Cell Adhesion Molecules Research (7 papers). Doe Sun Na collaborates with scholars based in South Korea, United States and Japan. Doe Sun Na's co-authors include Jesang Ko, Seung Wook Kim, Hae Jin Rhee, Jiyoung Kim, In Sik Kim, Young Min Park, Eung Chil Choi, Kyung‐No Son, Jae‐Hong Kim and Chan Woo Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Doe Sun Na i

Fields of papers citing papers by Doe Sun Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doe Sun Na. 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 Doe Sun Na. The network helps show where Doe Sun Na may publish in the future.

Countries citing papers authored by Doe Sun Na

Since Specialization
Citations

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