Tomoatsu Ikeya
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Aging top 0.1%
- Insect Science top 1%
- Immunology top 5%
- Co-authors
- Ernst HafenHugo StockerFelix RintelenRafael FernándezKnud NairzMilos GalicSusan BroughtonLinda Partridge
- Topics
- Neurobiology and Insect Physiology Research (4 papers)DNA Repair Mechanisms (3 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)
- Partner nations
- SwitzerlandJapanUnited Kingdom
In The Last Decade
Tomoatsu Ikeya
9 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 897
- Aging 896
- Insect Science 561
- Immunology 560
Countries citing papers authored by Tomoatsu Ikeya
This map shows the geographic impact of Tomoatsu Ikeya'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 Tomoatsu Ikeya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoatsu Ikeya more than expected).
Fields of papers citing papers by Tomoatsu Ikeya
This network shows the impact of papers produced by Tomoatsu Ikeya. 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 Tomoatsu Ikeya. The network helps show where Tomoatsu Ikeya may publish in the future.
Co-authorship network of co-authors of Tomoatsu Ikeya
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoatsu Ikeya. A scholar is included among the top collaborators of Tomoatsu Ikeya 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 Tomoatsu Ikeya. Tomoatsu Ikeya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 108 | |
| 2 | 158 | |
| 3 | Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligandsbreakdown → | 637 |
| 4 | Nutrient-Dependent Expression of Insulin-like Peptides from Neuroendocrine Cells in the CNS Contributes to Growth Regulation in Drosophilabreakdown → | 602 |
| 5 | An evolutionarily conserved function of the Drosophila insulin receptor and insulin-like peptides in growth controlbreakdown → | 961 |
| 6 | 94 | |
| 7 | 21 | |
| 8 | 13 | |
| 9 | 107 |
About Tomoatsu Ikeya
Tomoatsu Ikeya is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), DNA Repair Mechanisms (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (896 citations), Cellular and Molecular Neuroscience (1.6k citations) and Insect Science (561 citations). Tomoatsu Ikeya has collaborated with scholars based in Switzerland, Japan and United Kingdom. Frequent co-authors include Ernst Hafen, Hugo Stocker, Felix Rintelen, Rafael Fernández, Knud Nairz, Milos Galic, Susan Broughton, Linda Partridge, Timothy M. Bass and Yasmine Driege. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.