Min Gi

69 papers and 685 indexed citations i.

About

Min Gi is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Min Gi has authored 69 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Cancer Research and 12 papers in Surgery. Recurrent topics in Min Gi’s work include Carcinogens and Genotoxicity Assessment (21 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Min Gi is often cited by papers focused on Carcinogens and Genotoxicity Assessment (21 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Min Gi collaborates with scholars based in Japan, South Korea and United States. Min Gi's co-authors include Hideki Wanibuchi, Anna Kakehashi, Masaki Fujioka, Naomi Ishii, Takahiro Okuno, Satoshi Tamada, Shotaro Yamano, Tatsuya Nakatani, Shugo Suzuki and Shoji Fukushima and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Pollution.

In The Last Decade

Co-authorship network of co-authors of Min Gi i

Fields of papers citing papers by Min Gi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Gi

Since Specialization
Citations

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