Jun-ichi Hamada
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Developmental Biology and Gene Regulation
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
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- Developmental Biology and Gene Regulation 5
- Ubiquitin and proteasome pathways 4
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- Microstructure and Mechanical Properties of Steels 9
- High Temperature Alloys and Creep 6
- Co-authors
- Tetsuya Moriuchi (17 shared papers)Mitsuhiro Tada (14 shared papers)Yōko Takahashi (7 shared papers)Satoshi Kondo (4 shared papers)Hiroyuki Katoh (3 shared papers)Masaki Miyamoto (3 shared papers)Minoru Takada (2 shared papers)Katsuhiko Murakawa (2 shared papers)
In The Last Decade
Jun-ichi Hamada
33 papers receiving 925 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 222
- Molecular Biology 545
- Metals and Alloys 17
- Immunology and Allergy 30
- Oncology 112
Countries citing papers authored by Jun-ichi Hamada
This map shows the geographic impact of Jun-ichi Hamada'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 Jun-ichi Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-ichi Hamada more than expected).
Fields of papers citing papers by Jun-ichi Hamada
This network shows the impact of papers produced by Jun-ichi Hamada. 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 Jun-ichi Hamada. The network helps show where Jun-ichi Hamada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-ichi Hamada, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 132 | |
| 2 | 2005 | 99 | |
| 3 | 2005 | 98 | |
| 4 | 2006 | 77 | |
| 5 | 2007 | 60 | |
| 6 | 2006 | 50 | |
| 7 | 2002 | 44 | |
| 8 | 2007 | 37 | |
| 9 | 2016 | 36 | |
| 10 | 2000 | 35 | |
| 11 | 2006 | 34 | |
| 12 | 2008 | 31 | |
| 13 | 2011 | 26 | |
| 14 | 2015 | 22 | |
| 15 | 2001 | 21 | |
| 16 | 2002 | 19 | |
| 17 | 2006 | 18 | |
| 18 | 2008 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2021 | 13 |
About Jun-ichi Hamada
Jun-ichi Hamada is a scholar working on Molecular Biology, Mechanical Engineering, Oncology, Metals and Alloys and Materials Chemistry, having authored 34 papers that have together received 940 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (9 papers), High Temperature Alloys and Creep (6 papers), Hydrogen embrittlement and corrosion behaviors in metals (6 papers), Developmental Biology and Gene Regulation (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers), Climate variability and models (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (222 citations), Molecular Biology (545 citations), Metals and Alloys (17 citations), Immunology and Allergy (30 citations) and Oncology (112 citations). Jun-ichi Hamada has collaborated with scholars based in Japan, Australia and Sri Lanka. Frequent co-authors include Tetsuya Moriuchi, Mitsuhiro Tada, Yōko Takahashi, Satoshi Kondo, Hiroyuki Katoh, Masaki Miyamoto, Minoru Takada, Katsuhiko Murakawa, Keiji Furuuchi and Jun Matsumoto. Their work appears in journals such as ISIJ International, Tetsu-to-Hagane, Clinical & Experimental Metastasis, Oncology Reports and Journal of the Meteorological Society of Japan Ser II.
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.