Soo Ki Kim

50 papers and 297 indexed citations i.

About

Soo Ki Kim is a scholar working on Epidemiology, Hepatology and Physiology. According to data from OpenAlex, Soo Ki Kim has authored 50 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 24 papers in Hepatology and 11 papers in Physiology. Recurrent topics in Soo Ki Kim’s work include Liver Disease Diagnosis and Treatment (28 papers), Hepatitis C virus research (15 papers) and Hepatitis B Virus Studies (12 papers). Soo Ki Kim is often cited by papers focused on Liver Disease Diagnosis and Treatment (28 papers), Hepatitis C virus research (15 papers) and Hepatitis B Virus Studies (12 papers). Soo Ki Kim collaborates with scholars based in Japan, South Korea and United States. Soo Ki Kim's co-authors include Soo Ryang Kim, Masatoshi Kudo, Hiroyuki Marusawa, Tsutomu Chiba, Susumu Imoto, Tae Young Kang, Hiroki Nishikawa, Dae‐Hyun Yoo, Shinji Üemoto and Yoshitake Hayashi and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Soo Ki Kim i

Fields of papers citing papers by Soo Ki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soo Ki Kim

Since Specialization
Citations

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