Tamio Mizukami
- Virology top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 13
- Histone Deacetylase Inhibitors Research 11
- Cancer-related gene regulation 9
- Ubiquitin and proteasome pathways 8
- Cancer therapeutics and mechanisms 7
- Glycosylation and Glycoproteins Research 5
- Biotechnology top 5%
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 10
- Toxicology top 5%
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- Peptidase Inhibition and Analysis 5
- Co-authors
- Takayoshi SuzukiRyuzo SasakiMakoto HasegawaShiro AkinagaNaoki MiyataHidehiko NakagawaKoshiki MinoSeiga Itoh
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Tamio Mizukami
73 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Virology 145
- Molecular Biology 1.8k
- Biotechnology 200
- Pharmacology 254
- Toxicology 49
Countries citing papers authored by Tamio Mizukami
This map shows the geographic impact of Tamio Mizukami'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 Tamio Mizukami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamio Mizukami more than expected).
Fields of papers citing papers by Tamio Mizukami
This network shows the impact of papers produced by Tamio Mizukami. 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 Tamio Mizukami. The network helps show where Tamio Mizukami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tamio Mizukami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 4 | |
| 2 | 2015 | 2 | |
| 3 | 2014 | 56 | |
| 4 | 2014 | 1 | |
| 5 | 2010 | 10 | |
| 6 | 2009 | 2 | |
| 7 | 2008 | 13 | |
| 8 | 2006 | 35 | |
| 9 | 2003 | 19 | |
| 10 | 2002 | 87 | |
| 11 | 2002 | 62 | |
| 12 | 2001 | 19 | |
| 13 | 2000 | 15 | |
| 14 | 2000 | 12 | |
| 15 | Characterization of a duocarmycin-DNA adduct-recognizing protein in cancer cells. | 1999 | 9 |
| 16 | 1999 | 5 | |
| 17 | 1999 | 89 | |
| 18 | 1995 | 67 | |
| 19 | 1990 | 40 | |
| 20 | 1984 | 23 |
About Tamio Mizukami
Tamio Mizukami is a scholar working on Biotechnology, Toxicology and Molecular Biology, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Histone Deacetylase Inhibitors Research (11 papers), Microbial Natural Products and Biosynthesis (10 papers), Cancer-related gene regulation (9 papers), Ubiquitin and proteasome pathways (8 papers), Cancer therapeutics and mechanisms (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Virology (145 citations), Molecular Biology (1.8k citations) and Biotechnology (200 citations). Tamio Mizukami has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Takayoshi Suzuki, Ryuzo Sasaki, Makoto Hasegawa, Shiro Akinaga, Naoki Miyata, Hidehiko Nakagawa, Koshiki Mino, Seiga Itoh, Yoshinori Yamashita and Tetsuo Yoshida. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.