Muneki Ikeda
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 2
-
- Circadian rhythm and melatonin 4
- Co-authors
- Osamu Yamashita (2 shared papers)Yukihiro Sato (2 shared papers)Yasushi Hojo (7 shared papers)Suguru Kawato (7 shared papers)Yoshimasa Komatsuzaki (5 shared papers)H Saito (1 shared paper)Kunio Imai (1 shared paper)Mitsuaki Isobe (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS Computational Biology (2 papers)Brain Research (2 papers)Frontiers in Neural Circuits (2 papers)Cerebral Cortex (1 paper)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Muneki Ikeda
13 papers receiving 618 citations
Peers
Comparison fields: 5 of 80
- Aging 57
- Behavioral Neuroscience 98
- Cellular and Molecular Neuroscience 366
- Endocrine and Autonomic Systems 98
- Insect Science 115
Countries citing papers authored by Muneki Ikeda
This map shows the geographic impact of Muneki 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 Muneki Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muneki Ikeda more than expected).
Fields of papers citing papers by Muneki Ikeda
This network shows the impact of papers produced by Muneki 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 Muneki Ikeda. The network helps show where Muneki Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Muneki Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 173 | |
| 2 | 2014 | 79 | |
| 3 | 1994 | 77 | |
| 4 | 2015 | 73 | |
| 5 | 2015 | 40 | |
| 6 | 2013 | 35 | |
| 7 | 2015 | 32 | |
| 8 | 2020 | 29 | |
| 9 | 2014 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2018 | 14 | |
| 13 | 2021 | 2 | |
| 14 | 2025 | 0 |
About Muneki Ikeda
Muneki Ikeda is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Aging, Endocrinology, Diabetes and Metabolism and Genetics, having authored 14 papers that have together received 622 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Circadian rhythm and melatonin (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Estrogen and related hormone effects (3 papers), Menopause: Health Impacts and Treatments (2 papers), Stress Responses and Cortisol (2 papers), Silk-based biomaterials and applications (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Aging (57 citations), Behavioral Neuroscience (98 citations), Cellular and Molecular Neuroscience (366 citations), Endocrine and Autonomic Systems (98 citations) and Insect Science (115 citations). Muneki Ikeda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Osamu Yamashita, Yukihiro Sato, Yasushi Hojo, Suguru Kawato, Yoshimasa Komatsuzaki, H Saito, Kunio Imai, Mitsuaki Isobe, M Oguchi and Hideo Mukai. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, Brain Research, Frontiers in Neural Circuits and Cerebral Cortex.
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.