Suji Kim

40 papers and 504 indexed citations i.

About

Suji Kim is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Suji Kim has authored 40 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 10 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Suji Kim’s work include Mycobacterium research and diagnosis (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Adipose Tissue and Metabolism (5 papers). Suji Kim is often cited by papers focused on Mycobacterium research and diagnosis (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Adipose Tissue and Metabolism (5 papers). Suji Kim collaborates with scholars based in South Korea, United States and Norway. Suji Kim's co-authors include Han Sang Yoo, Hong-Tae Park, Kye Won Park, Peter Tontonoz, Ui Jeong Yun, Hironori Waki, Young‐Myeong Kim, Dean Y. Li, Kwon‐Soo Ha and Min‐Tae Jeon and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Suji Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suji Kim

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025