Kazuo Ikeda
- Molecular Biology top 1%
- Cell Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Epidemiology top 1%
- Hepatology top 0.5%
- Co-authors
- J. H. KoenigToshio KosakaNorifumi KawadaC. A. G. WiersmaScott L. FriedmanShizuya SaikaKatsutoshi YoshizatoOsamu Yamanaka
- Topics
- Liver physiology and pathology (37 papers)Neurobiology and Insect Physiology Research (34 papers)Liver Disease Diagnosis and Treatment (23 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kazuo Ikeda
341 papers receiving 11.2k citations
Peers
Comparison fields: 5 of 184
- Molecular Biology 4.4k
- Cell Biology 2.2k
- Cellular and Molecular Neuroscience 2.0k
- Epidemiology 1.9k
- Hepatology 1.6k
Countries citing papers authored by Kazuo Ikeda
This map shows the geographic impact of Kazuo 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 Kazuo Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Ikeda more than expected).
Fields of papers citing papers by Kazuo Ikeda
This network shows the impact of papers produced by Kazuo 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 Kazuo Ikeda. The network helps show where Kazuo Ikeda may publish in the future.
Co-authorship network of co-authors of Kazuo Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Ikeda. A scholar is included among the top collaborators of Kazuo Ikeda 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 Kazuo Ikeda. Kazuo Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 31 | |
| 7 | 25 | |
| 8 | 209 | |
| 9 | [Bone fracture and the healing mechanisms. Application of the extracorporeal shock wave on treatment of fracture]. | 4 |
| 10 | 104 | |
| 11 | Liver Fibrosis and DDR2 Signaling | 1 |
| 12 | Molecular analysis of genetic mutation in electrophoretic variant of human lactate dehydrogenase-A(M) subunit. | 4 |
| 13 | Plexiform neurogenic tumors. | 1 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 6. On Brittle Fracture Initiation (First Report-Deep Notch Test) | 1 |
| 20 | 0 |
About Kazuo Ikeda
Kazuo Ikeda is a scholar working on Hepatology, Cellular and Molecular Neuroscience and Metals and Alloys, having authored 358 papers that have together received 11.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (37 papers), Neurobiology and Insect Physiology Research (34 papers) and Liver Disease Diagnosis and Treatment (23 papers). The work is most often cited by research in Hepatology (1.6k citations), Cell Biology (2.2k citations) and Cellular and Molecular Neuroscience (2.0k citations). Kazuo Ikeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include J. H. Koenig, Toshio Kosaka, Norifumi Kawada, C. A. G. Wiersma, Scott L. Friedman, Shizuya Saika, Katsutoshi Yoshizato, Osamu Yamanaka, Yuji Nakajima and Katsuro Tomita. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.