Kazutaka Ikeda
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Physiology top 2%
- Cognitive Neuroscience top 2%
- Anesthesiology and Pain Medicine top 0.5%
- Co-authors
- Toru KobayashiIchiro SoraToshiro KumanishiShinya KasaiSoichiro IdeGeorge R. UhlYukio TakamatsuKazuo Washiyama
- Topics
- Receptor Mechanisms and Signaling (63 papers)Neuropeptides and Animal Physiology (54 papers)Neurotransmitter Receptor Influence on Behavior (49 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazutaka Ikeda
256 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 3.6k
- Molecular Biology 3.1k
- Physiology 1.2k
- Cognitive Neuroscience 848
- Anesthesiology and Pain Medicine 645
Countries citing papers authored by Kazutaka Ikeda
This map shows the geographic impact of Kazutaka 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 Kazutaka Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutaka Ikeda more than expected).
Fields of papers citing papers by Kazutaka Ikeda
This network shows the impact of papers produced by Kazutaka 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 Kazutaka Ikeda. The network helps show where Kazutaka Ikeda may publish in the future.
Co-authorship network of co-authors of Kazutaka Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Ikeda. A scholar is included among the top collaborators of Kazutaka 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 Kazutaka Ikeda. Kazutaka 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 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | 48 | |
| 20 | [Preclinical evaluation of several cisplatinum analogs against human esophageal carcinoma by subrenal capsule assay]. | 1 |
About Kazutaka Ikeda
Kazutaka Ikeda is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine and Biological Psychiatry, having authored 265 papers that have together received 6.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (63 papers), Neuropeptides and Animal Physiology (54 papers) and Neurotransmitter Receptor Influence on Behavior (49 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Biological Psychiatry (292 citations) and Anesthesiology and Pain Medicine (645 citations). Kazutaka Ikeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toru Kobayashi, Ichiro Sora, Toshiro Kumanishi, Shinya Kasai, Soichiro Ide, George R. Uhl, Yukio Takamatsu, Kazuo Washiyama, Daisuke Nishizawa and Ryoji Yano. Their work appears in journals such as Cell, Nature Communications and Journal of Neuroscience.
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.