Min Gi
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Genomics, phytochemicals, and oxidative stress 8
- DNA Repair Mechanisms 6
- Glutathione Transferases and Polymorphisms 5
-
- Carcinogens and Genotoxicity Assessment 21
- Co-authors
- Hideki Wanibuchi (61 shared papers)Anna Kakehashi (41 shared papers)Masaki Fujioka (38 shared papers)Naomi Ishii (15 shared papers)Takahiro Okuno (12 shared papers)Shugo Suzuki (23 shared papers)Satoshi Tamada (4 shared papers)Tatsuya Nakatani (5 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Cancers (5 papers)Archives of Toxicology (5 papers)Cancer Science (5 papers)Toxicological Sciences (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Min Gi
67 papers receiving 846 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 150
- Hepatology 42
- Molecular Biology 378
- Health, Toxicology and Mutagenesis 74
- Oncology 123
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 57 | |
| 2 | 2022 | 53 | |
| 3 | 2022 | 53 | |
| 4 | 2020 | 51 | |
| 5 | 2021 | 43 | |
| 6 | 2022 | 40 | |
| 7 | 2016 | 33 | |
| 8 | 2018 | 28 | |
| 9 | 2015 | 25 | |
| 10 | 2020 | 25 | |
| 11 | 2017 | 25 | |
| 12 | 2009 | 22 | |
| 13 | 2022 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2015 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2017 | 15 |
About Min Gi
Min Gi is a scholar working on Molecular Biology, Cancer Research, Surgery, Health, Toxicology and Mutagenesis and Epidemiology, having authored 73 papers that have together received 855 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (21 papers), Genomics, phytochemicals, and oxidative stress (8 papers), Liver Disease Diagnosis and Treatment (7 papers), DNA Repair Mechanisms (6 papers), Heavy Metal Exposure and Toxicity (6 papers), Arsenic contamination and mitigation (6 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Glutathione Transferases and Polymorphisms (5 papers). The work is most often cited by research in Cancer Research (150 citations), Hepatology (42 citations), Molecular Biology (378 citations), Health, Toxicology and Mutagenesis (74 citations) and Oncology (123 citations). Min Gi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideki Wanibuchi, Anna Kakehashi, Masaki Fujioka, Naomi Ishii, Takahiro Okuno, Shugo Suzuki, Satoshi Tamada, Tatsuya Nakatani, Shotaro Yamano and Shoji Fukushima. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Archives of Toxicology, Cancer Science 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.