Tatsuki Fukami
- Molecular Biology top 5%
- Pharmacology top 0.05%
- Oncology top 2%
- Cancer Research top 2%
- Physiology top 2%
- Co-authors
- Miki NakajimaTsuyoshi YokoiKoichi TsuneyamaMasataka TakamiyaShingo OdaYasuhiro AokiMasataka NakanoHoward L. McLeod
- Topics
- Pharmacogenetics and Drug Metabolism (62 papers)Drug Transport and Resistance Mechanisms (40 papers)Drug-Induced Hepatotoxicity and Protection (39 papers)
- Cited by
- PharmacologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryPhysical review. B, Condensed matter
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tatsuki Fukami
218 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.4k
- Pharmacology 2.1k
- Oncology 1.3k
- Cancer Research 884
- Physiology 800
Countries citing papers authored by Tatsuki Fukami
This map shows the geographic impact of Tatsuki Fukami'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 Tatsuki Fukami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuki Fukami more than expected).
Fields of papers citing papers by Tatsuki Fukami
This network shows the impact of papers produced by Tatsuki Fukami. 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 Tatsuki Fukami. The network helps show where Tatsuki Fukami may publish in the future.
Co-authorship network of co-authors of Tatsuki Fukami
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuki Fukami. A scholar is included among the top collaborators of Tatsuki Fukami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tatsuki Fukami. Tatsuki Fukami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 189 | |
| 14 | Effects of kaempferol on the mechanisms of drug resistance in the human glioblastoma cell line T98G. | 20 |
| 15 | 23 | |
| 16 | 35 | |
| 17 | Effects of CaTiO 3 on Electrical Properties in LiTaO 3 Ceramics | 1 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 6 |
About Tatsuki Fukami
Tatsuki Fukami is a scholar working on Pharmacology, Condensed Matter Physics and Cancer Research, having authored 225 papers that have together received 6.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (62 papers), Drug Transport and Resistance Mechanisms (40 papers) and Drug-Induced Hepatotoxicity and Protection (39 papers). The work is most often cited by research in Pharmacology (2.1k citations), Cancer Research (884 citations) and Oncology (1.3k citations). Tatsuki Fukami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Miki Nakajima, Tsuyoshi Yokoi, Koichi Tsuneyama, Masataka Takamiya, Shingo Oda, Yasuhiro Aoki, Masataka Nakano, Howard L. McLeod, Yuki Kobayashi and M. Ihara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Physical review. B, Condensed matter.
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.