Young‐Gon Kim

46 papers and 252 indexed citations i.

About

Young‐Gon Kim is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Young‐Gon Kim has authored 46 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Young‐Gon Kim’s work include AI in cancer detection (4 papers), Diverse Topics in Contemporary Research (3 papers) and Blood groups and transfusion (2 papers). Young‐Gon Kim is often cited by papers focused on AI in cancer detection (4 papers), Diverse Topics in Contemporary Research (3 papers) and Blood groups and transfusion (2 papers). Young‐Gon Kim collaborates with scholars based in South Korea and United States. Young‐Gon Kim's co-authors include Chae Seung Lim, Myung‐Hyun Nam, Chi Hyun Cho, Seung Gyu Yun, Soo Young Yoon, Chang Kyu Lee, Yunjung Cho, Namkug Kim, Sungchul Kim and So Yeon Park and has published in prestigious journals such as Scientific Reports, Journal of Clinical Microbiology and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Young‐Gon Kim i

Fields of papers citing papers by Young‐Gon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Young‐Gon Kim

Since Specialization
Citations

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