Kun Na

317 total papers · 14.4k total citations
264 papers, 11.4k citations indexed

About

Kun Na is a scholar working on Biomedical Engineering, Biomaterials and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Na has authored 264 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Biomedical Engineering, 87 papers in Biomaterials and 66 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Na's work include Nanoplatforms for cancer theranostics (89 papers), Nanoparticle-Based Drug Delivery (67 papers) and Photodynamic Therapy Research Studies (50 papers). Kun Na is often cited by papers focused on Nanoplatforms for cancer theranostics (89 papers), Nanoparticle-Based Drug Delivery (67 papers) and Photodynamic Therapy Research Studies (50 papers). Kun Na collaborates with scholars based in South Korea, United States and China. Kun Na's co-authors include You Han Bae, Wooram Park, Eun Seong Lee, Sin‐jung Park, Byoung-chan Bae, Kyoung Sub Kim, Heejun Shin, Hee Sook Hwang, Daishun Ling and Chung‐Sung Lee and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Kun Na

260 papers receiving 11.3k citations

Hit Papers

Super pH-Sensitive Multif... 2005 2026 2012 2019 2005 2014 2021 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun Na 5.2k 4.7k 3.1k 2.3k 1.8k 264 11.4k
Eun Seong Lee 4.6k 0.9× 5.8k 1.2× 3.4k 1.1× 1.5k 0.6× 1.1k 0.6× 217 10.4k
Bin He 4.5k 0.9× 4.2k 0.9× 4.2k 1.4× 2.3k 1.0× 2.4k 1.3× 327 12.4k
Yongzhong Du 4.5k 0.9× 4.1k 0.9× 4.0k 1.3× 1.7k 0.7× 1.2k 0.7× 263 11.9k
Jianliang Shen 4.5k 0.9× 3.5k 0.7× 2.6k 0.8× 2.7k 1.1× 678 0.4× 235 11.7k
Soodabeh Davaran 5.4k 1.0× 6.0k 1.3× 3.6k 1.2× 2.7k 1.2× 496 0.3× 241 14.0k
Xiqun Jiang 5.4k 1.0× 4.9k 1.0× 2.9k 0.9× 3.4k 1.4× 804 0.4× 248 11.7k
Yu Seok Youn 3.0k 0.6× 3.7k 0.8× 3.1k 1.0× 1.2k 0.5× 1.1k 0.6× 239 9.1k
Ilídio J. Correia 5.4k 1.0× 5.3k 1.1× 1.8k 0.6× 1.6k 0.7× 604 0.3× 194 11.8k
Deling Kong 4.2k 0.8× 5.5k 1.2× 4.0k 1.3× 1.7k 0.7× 867 0.5× 192 11.4k
Yu Zhang 3.1k 0.6× 3.3k 0.7× 3.6k 1.2× 1.4k 0.6× 911 0.5× 502 12.3k

Countries citing papers authored by Kun Na

Since Specialization
Citations

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

Fields of papers citing papers by Kun Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Na

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Na. A scholar is included among the top collaborators of Kun Na based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Na. Kun Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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