Insu Kwon

26 papers and 482 indexed citations i.

About

Insu Kwon is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Insu Kwon has authored 26 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 11 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Insu Kwon’s work include Autophagy in Disease and Therapy (12 papers), Adipose Tissue and Metabolism (6 papers) and Muscle Physiology and Disorders (6 papers). Insu Kwon is often cited by papers focused on Autophagy in Disease and Therapy (12 papers), Adipose Tissue and Metabolism (6 papers) and Muscle Physiology and Disorders (6 papers). Insu Kwon collaborates with scholars based in United States, South Korea and United Kingdom. Insu Kwon's co-authors include Youngil Lee, Yongchul Jang, Ludmila Cosío-Lima, Joon‐Yong Cho, Eun‐Bum Kang, Jung‐Hoon Koo, Yong‐Woo Lee, Chul‐Hyun Kim, Hideaki Soya and Debra M. Vinci and has published in prestigious journals such as Brain Research, The FASEB Journal and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Insu Kwon i

Fields of papers citing papers by Insu Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Insu Kwon

Since Specialization
Citations

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