Daesik Kim

88 papers and 6.5k indexed citations i.

About

Daesik Kim is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Daesik Kim has authored 88 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 13 papers in Biomedical Engineering and 8 papers in Plant Science. Recurrent topics in Daesik Kim’s work include CRISPR and Genetic Engineering (31 papers), RNA regulation and disease (12 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). Daesik Kim is often cited by papers focused on CRISPR and Genetic Engineering (31 papers), RNA regulation and disease (12 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). Daesik Kim collaborates with scholars based in South Korea, United States and United Kingdom. Daesik Kim's co-authors include Jin‐Soo Kim, Sojung Kim, Jung‐Eun Kim, Seung Woo Cho, Seokjoong Kim, Eunji Kim, Kyoungmi Kim, Jeongbin Park, Sun-heui Yoon and Junho K. Hur and has published in prestigious journals such as Nature, Nucleic Acids Research and Advanced Materials.

In The Last Decade

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

Fields of papers citing papers by Daesik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daesik Kim

Since Specialization
Citations

This map shows the geographic impact of Daesik 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 Daesik Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daesik 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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2025