Keiko Ikemoto
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 10%
- Physiology
- Cognitive Neuroscience
- Co-authors
- Ikuko NagatsuAkiyoshi NishimuraKunio KitahamaKatsuji NishiRyohachi AraiAnne JouvetKeiji SatohToshihiro Maeda
- Topics
- Neuroscience and Neuropharmacology Research (29 papers)Neurotransmitter Receptor Influence on Behavior (26 papers)Receptor Mechanisms and Signaling (15 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Keiko Ikemoto
54 papers receiving 802 citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 504
- Molecular Biology 335
- Neurology 125
- Physiology 88
- Cognitive Neuroscience 81
Countries citing papers authored by Keiko Ikemoto
This map shows the geographic impact of Keiko Ikemoto'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 Keiko Ikemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Ikemoto more than expected).
Fields of papers citing papers by Keiko Ikemoto
This network shows the impact of papers produced by Keiko Ikemoto. 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 Keiko Ikemoto. The network helps show where Keiko Ikemoto may publish in the future.
Co-authorship network of co-authors of Keiko Ikemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Ikemoto. A scholar is included among the top collaborators of Keiko Ikemoto 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 Keiko Ikemoto. Keiko Ikemoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | D-neuron in Schizophrenia Research | 0 |
| 4 | ＂D-cell Hypothesis＂ of Schizophrenia: Possible Theory for Mesolimbic Dopamine Hyperactivity | 0 |
| 5 | 18 | |
| 6 | 55 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 10 | |
| 11 | Postmortem diagnosis of brain disorders – The histochemical detection of glycoconjugate deposition with lectins | 3 |
| 12 | 44 | |
| 13 | 14 | |
| 14 | 63 | |
| 15 | 32 | |
| 16 | 32 | |
| 17 | 6 | |
| 18 | 17 | |
| 19 | 21 | |
| 20 | 35 |
About Keiko Ikemoto
Keiko Ikemoto is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Endocrine and Autonomic Systems, having authored 63 papers that have together received 853 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Neurotransmitter Receptor Influence on Behavior (26 papers) and Receptor Mechanisms and Signaling (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (504 citations), Biological Psychiatry (39 citations) and Endocrine and Autonomic Systems (61 citations). Keiko Ikemoto has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Ikuko Nagatsu, Akiyoshi Nishimura, Kunio Kitahama, Katsuji Nishi, Ryohachi Arai, Anne Jouvet, Keiji Satoh, Toshihiro Maeda, Shosuke Ito and Richard A. King. Their work appears in journals such as Brain Research, Neuroscience and Experimental Brain Research.
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.