Min Gi
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Carcinogens and Genotoxicity Assessment 25
-
- Heavy Metal Exposure and Toxicity 6
- Co-authors
- Hideki Wanibuchi (64 shared papers)Anna Kakehashi (44 shared papers)Masaki Fujioka (41 shared papers)Naomi Ishii (14 shared papers)Takahiro Okuno (12 shared papers)Shugo Suzuki (25 shared papers)Shoji Fukushima (7 shared papers)Satoshi Tamada (4 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Archives of Toxicology (6 papers)Cancer Science (5 papers)Cancers (5 papers)Toxicological Sciences (4 papers)
- Partner nations
- JapanUnited KingdomSouth Korea
In The Last Decade
Min Gi
69 papers receiving 963 citations
Peers
Comparison fields: 5 of 108
- Cancer Research 175
- Health, Toxicology and Mutagenesis 98
- Hepatology 45
- Molecular Biology 409
- Oncology 132
Countries citing papers authored by Min Gi
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).
Fields of papers citing papers by Min Gi
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.
Co-authors
The 25 scholars most cited alongside Min Gi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 57 | |
| 2 | 2016 | 57 | |
| 3 | 2022 | 56 | |
| 4 | 2020 | 50 | |
| 5 | 2021 | 47 | |
| 6 | 2022 | 44 | |
| 7 | 2016 | 35 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2009 | 24 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2017 | 16 |
About Min Gi
Min Gi is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Environmental Chemistry and Immunology, having authored 78 papers that have together received 973 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (25 papers), Genomics, phytochemicals, and oxidative stress (8 papers), Liver Disease Diagnosis and Treatment (7 papers), DNA Repair Mechanisms (6 papers), Arsenic contamination and mitigation (6 papers), Heavy Metal Exposure and Toxicity (6 papers), Glutathione Transferases and Polymorphisms (5 papers) and Bladder and Urothelial Cancer Treatments (5 papers). The work is most often cited by research in Cancer Research (175 citations), Health, Toxicology and Mutagenesis (98 citations), Hepatology (45 citations), Molecular Biology (409 citations) and Oncology (132 citations). Min Gi has collaborated with scholars based in Japan, United Kingdom and South Korea. Frequent co-authors include Hideki Wanibuchi, Anna Kakehashi, Masaki Fujioka, Naomi Ishii, Takahiro Okuno, Shugo Suzuki, Shoji Fukushima, Satoshi Tamada, Shotaro Yamano and Tatsuya Nakatani. Their work appears in journals such as International Journal of Molecular Sciences, Archives of Toxicology, Cancer Science, Cancers and Toxicological Sciences.
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.