Yeon Su Lee

8 papers and 910 indexed citations i.

About

Yeon Su Lee is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Yeon Su Lee has authored 8 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Yeon Su Lee’s work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Protein Tyrosine Phosphatases (1 paper). Yeon Su Lee is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Protein Tyrosine Phosphatases (1 paper). Yeon Su Lee collaborates with scholars based in South Korea, Finland and Germany. Yeon Su Lee's co-authors include Jaakko Perheentupa, Leena Peltonen, Petra Björses, Johanna Aaltonen, Marie‐Laure Yaspo, Aarno Palotie, Cora S. Thiel, Nina Horelli‐Kuitunen, Fiona Francis and Taek-Chin Cheong and has published in prestigious journals such as Nature Genetics, Applied Surface Science and Clinical & Experimental Metastasis.

In The Last Decade

Co-authorship network of co-authors of Yeon Su Lee i

Fields of papers citing papers by Yeon Su Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yeon Su Lee

Since Specialization
Citations

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