Jun-ichi Hamada
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Developmental Biology and Gene Regulation 5
- Ubiquitin and proteasome pathways 4
- TGF-β signaling in diseases 3
- Oncology 9
- Cancer-related Molecular Pathways 5
- 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 918 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 257
- Molecular Biology 631
- Metals and Alloys 17
- Immunology and Allergy 35
- Oncology 136
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 | 98 | |
| 3 | 2005 | 98 | |
| 4 | 2006 | 77 | |
| 5 | 2007 | 60 | |
| 6 | 2006 | 50 | |
| 7 | 2002 | 43 | |
| 8 | 2007 | 37 | |
| 9 | 2016 | 35 | |
| 10 | 2000 | 35 | |
| 11 | 2006 | 33 | |
| 12 | 2008 | 31 | |
| 13 | 2011 | 26 | |
| 14 | 2015 | 22 | |
| 15 | 2001 | 21 | |
| 16 | 2002 | 19 | |
| 17 | 2008 | 18 | |
| 18 | 2006 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 12 |
About Jun-ichi Hamada
Jun-ichi Hamada is a scholar working on Molecular Biology, Oncology, Mechanical Engineering, Metals and Alloys and Biotechnology, having authored 34 papers that have together received 934 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), Cancer-related Molecular Pathways (5 papers), Developmental Biology and Gene Regulation (5 papers), Cancer Research and Treatments (4 papers), Ubiquitin and proteasome pathways (4 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Cancer Research (257 citations), Molecular Biology (631 citations), Metals and Alloys (17 citations), Immunology and Allergy (35 citations) and Oncology (136 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 Motoki Abe. Their work appears in journals such as ISIJ International, Tetsu-to-Hagane, Oncology Reports, Clinical & Experimental Metastasis 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.