Su Kim

41 papers and 455 indexed citations i.

About

Su Kim is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Su Kim has authored 41 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Plant Science and 10 papers in Epidemiology. Recurrent topics in Su Kim’s work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (5 papers) and Powdery Mildew Fungal Diseases (4 papers). Su Kim is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (5 papers) and Powdery Mildew Fungal Diseases (4 papers). Su Kim collaborates with scholars based in South Korea, United States and Israel. Su Kim's co-authors include Yong Tae Kwon, Chang Hoon Ji, Ah Jung Heo, Aaron Ciechanover, Bo Yeon Kim, Su Hyun Lee, Min Ju Lee, Peter C. Searson, Su Ran Mun and Hee Yeon Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Co-authorship network of co-authors of Su Kim i

Fields of papers citing papers by Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Kim

Since Specialization
Citations

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