Kazuhiro Ikeda
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 20
- Molecular Biology top 2%
- RNA Research and Splicing 24
- RNA modifications and cancer 21
- Ubiquitin and proteasome pathways 12
- Immunology top 5%
- interferon and immune responses 19
- Genetics top 2%
- Estrogen and related hormone effects 35
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 12
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- Prostate Cancer Treatment and Research 13
- Co-authors
- Satoshi InoueKuniko Horie‐InoueTomohiko UranoKen‐ichi TakayamaTakashi SuzukiYasuyoshi OuchiMasami MuramatsuSatoru Takeda
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (6 papers)Nature Communications (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Kazuhiro Ikeda
141 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 1.3k
- Molecular Biology 3.0k
- Immunology 787
- Genetics 887
- Oncology 721
Countries citing papers authored by Kazuhiro Ikeda
This map shows the geographic impact of Kazuhiro Ikeda'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 Kazuhiro Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Ikeda more than expected).
Fields of papers citing papers by Kazuhiro Ikeda
This network shows the impact of papers produced by Kazuhiro Ikeda. 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 Kazuhiro Ikeda. The network helps show where Kazuhiro Ikeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuhiro Ikeda, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 65 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 64 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 66 | |
| 13 | 2019 | 40 | |
| 14 | 2018 | 39 | |
| 15 | 2014 | 10 | |
| 16 | 2013 | 22 | |
| 17 | 2012 | 0 | |
| 18 | 2009 | 3 | |
| 19 | 2008 | 96 | |
| 20 | 1993 | 2 |
About Kazuhiro Ikeda
Kazuhiro Ikeda is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 145 papers that have together received 4.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (35 papers), RNA Research and Splicing (24 papers), RNA modifications and cancer (21 papers), Cancer-related molecular mechanisms research (20 papers), interferon and immune responses (19 papers), Prostate Cancer Treatment and Research (13 papers), Ubiquitin and proteasome pathways (12 papers) and Cytokine Signaling Pathways and Interactions (12 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (3.0k citations) and Immunology (787 citations). Kazuhiro Ikeda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Satoshi Inoue, Kuniko Horie‐Inoue, Tomohiko Urano, Ken‐ichi Takayama, Takashi Suzuki, Yasuyoshi Ouchi, Masami Muramatsu, Satoru Takeda, Tetsuya Fujimura and Akira Orimo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.