Kazunori Ishimura
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Biomaterials top 2%
- Genetics top 5%
- Co-authors
- Michihiro NakamuraKoichiro HayashiHisao FujitaMasahiro AbeToshio MatsumotoShuji OzakiYoshihiro TsuruoHirokazu Miki
- Topics
- Estrogen and related hormone effects (19 papers)Hormonal Regulation and Hypertension (11 papers)Erythrocyte Function and Pathophysiology (9 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kazunori Ishimura
133 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.1k
- Biomedical Engineering 780
- Materials Chemistry 626
- Biomaterials 581
- Genetics 360
Countries citing papers authored by Kazunori Ishimura
This map shows the geographic impact of Kazunori Ishimura'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 Kazunori Ishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazunori Ishimura more than expected).
Fields of papers citing papers by Kazunori Ishimura
This network shows the impact of papers produced by Kazunori Ishimura. 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 Kazunori Ishimura. The network helps show where Kazunori Ishimura may publish in the future.
Co-authorship network of co-authors of Kazunori Ishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Kazunori Ishimura. A scholar is included among the top collaborators of Kazunori Ishimura 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 Kazunori Ishimura. Kazunori Ishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 262 | |
| 3 | 23 | |
| 4 | Dynamic IP-VPN architecture with secure IPsec tunnels | 8 |
| 5 | 21 | |
| 6 | 18 | |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 17 | |
| 11 | 31 | |
| 12 | ANCIENT HUMAN BONES WITH MERCURIC COSMETICS EXCAVATED FROM THE BURIAL MOUND OF KANZO-YAMA IN TOKUSHIMA | 1 |
| 13 | 18 | |
| 14 | 40 | |
| 15 | 1 | |
| 16 | 83 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 19 | |
| 20 | Membrane Events during Release of Peptide Hormones | 1 |
About Kazunori Ishimura
Kazunori Ishimura is a scholar working on Behavioral Neuroscience, Biochemistry and Pharmacology, having authored 133 papers that have together received 3.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Hormonal Regulation and Hypertension (11 papers) and Erythrocyte Function and Pathophysiology (9 papers). The work is most often cited by research in Biomaterials (581 citations), Reproductive Medicine (187 citations) and Behavioral Neuroscience (74 citations). Kazunori Ishimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Michihiro Nakamura, Koichiro Hayashi, Hisao Fujita, Masahiro Abe, Toshio Matsumoto, Shuji Ozaki, Yoshihiro Tsuruo, Hirokazu Miki, H. Fujita and Masayuki Shono. Their work appears in journals such as Journal of Biological Chemistry, Chemistry of Materials and Advanced Functional Materials.
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.