Ken‐ichi Kozaki
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Cell Biology top 5%
- Surgery
- Co-authors
- Johji InazawaIssei ImotoKen OmuraSeiki MogiTakashi TakahashiKatsumi KoshikawaKari AlitaloYulong He
- Topics
- MicroRNA in disease regulation (8 papers)Epigenetics and DNA Methylation (7 papers)Cancer-related molecular mechanisms research (5 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Ken‐ichi Kozaki
37 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.1k
- Cancer Research 1.3k
- Oncology 772
- Cell Biology 332
- Surgery 213
Countries citing papers authored by Ken‐ichi Kozaki
This map shows the geographic impact of Ken‐ichi Kozaki'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 Ken‐ichi Kozaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichi Kozaki more than expected).
Fields of papers citing papers by Ken‐ichi Kozaki
This network shows the impact of papers produced by Ken‐ichi Kozaki. 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 Ken‐ichi Kozaki. The network helps show where Ken‐ichi Kozaki may publish in the future.
Co-authorship network of co-authors of Ken‐ichi Kozaki
This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Kozaki. A scholar is included among the top collaborators of Ken‐ichi Kozaki 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 Ken‐ichi Kozaki. Ken‐ichi Kozaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 51 | |
| 3 | 67 | |
| 4 | 25 | |
| 5 | 58 | |
| 6 | 216 | |
| 7 | 185 | |
| 8 | 9 | |
| 9 | 82 | |
| 10 | Exploration of Tumor-Suppressive MicroRNAs Silenced by DNA Hypermethylation in Oral Cancerbreakdown → | 512 |
| 11 | 48 | |
| 12 | 79 | |
| 13 | 26 | |
| 14 | 52 | |
| 15 | Significant growth inhibition of human lung cancer cells both in vitro and in vivo by the combined use of a selective cyclooxygenase 2 inhibitor, JTE-522, and conventional anticancer agents. | 96 |
| 16 | 32 | |
| 17 | 50 | |
| 18 | 47 | |
| 19 | 11 | |
| 20 | 5 |
About Ken‐ichi Kozaki
Ken‐ichi Kozaki is a scholar working on Cancer Research, Aging and Transplantation, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.1k citations) and Oncology (772 citations). Ken‐ichi Kozaki has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Johji Inazawa, Issei Imoto, Ken Omura, Seiki Mogi, Takashi Takahashi, Katsumi Koshikawa, Kari Alitalo, Yulong He, Seppo Ylä‐Herttuala and Terhi Kärpänen. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.