Mitsushi Ikemoto
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Pulmonary and Respiratory Medicine
- Cell Biology
- Co-authors
- Toru ImamuraTakeshi OsugiMasatoshi TakitaNaomasa MikiTomoyo OchiishiHideaki SoyaRandeep RakwalHiroyasu Nakata
- Topics
- Neuroscience and Neuropharmacology Research (9 papers)Receptor Mechanisms and Signaling (5 papers)Neuropeptides and Animal Physiology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- JapanChinaUnited States
In The Last Decade
Mitsushi Ikemoto
27 papers receiving 370 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 181
- Cellular and Molecular Neuroscience 125
- Physiology 52
- Pulmonary and Respiratory Medicine 37
- Cell Biology 32
Countries citing papers authored by Mitsushi Ikemoto
This map shows the geographic impact of Mitsushi 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 Mitsushi Ikemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsushi Ikemoto more than expected).
Fields of papers citing papers by Mitsushi Ikemoto
This network shows the impact of papers produced by Mitsushi 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 Mitsushi Ikemoto. The network helps show where Mitsushi Ikemoto may publish in the future.
Co-authorship network of co-authors of Mitsushi Ikemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsushi Ikemoto. A scholar is included among the top collaborators of Mitsushi 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 Mitsushi Ikemoto. Mitsushi 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 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 28 | |
| 9 | 11 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 35 | |
| 13 | 7 | |
| 14 | 28 | |
| 15 | 29 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | 14 | |
| 20 | 2 |
About Mitsushi Ikemoto
Mitsushi Ikemoto is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 28 papers that have together received 380 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (125 citations), Developmental Neuroscience (27 citations) and Physiology (27 citations). Mitsushi Ikemoto has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Toru Imamura, Takeshi Osugi, Masatoshi Takita, Naomasa Miki, Tomoyo Ochiishi, Hideaki Soya, Randeep Rakwal, Hiroyasu Nakata, Bruce S. McEwen and Kanako Takahashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.