Toshiro Aigaki
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Genetics top 1%
- Insect Science top 0.5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Co-authors
- Takashi MatsuoManabu TsudaMinoru OsanaiHiroko KasugaKi‐Hyeon SeongSatomi TakeoP.S. ChenMarianne Bienz
- Topics
- Neurobiology and Insect Physiology Research (50 papers)Genetics, Aging, and Longevity in Model Organisms (18 papers)Developmental Biology and Gene Regulation (16 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Toshiro Aigaki
136 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.6k
- Cellular and Molecular Neuroscience 1.9k
- Genetics 1.4k
- Insect Science 1.1k
- Ecology, Evolution, Behavior and Systematics 934
Countries citing papers authored by Toshiro Aigaki
This map shows the geographic impact of Toshiro Aigaki'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 Toshiro Aigaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiro Aigaki more than expected).
Fields of papers citing papers by Toshiro Aigaki
This network shows the impact of papers produced by Toshiro Aigaki. 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 Toshiro Aigaki. The network helps show where Toshiro Aigaki may publish in the future.
Co-authorship network of co-authors of Toshiro Aigaki
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiro Aigaki. A scholar is included among the top collaborators of Toshiro Aigaki 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 Toshiro Aigaki. Toshiro Aigaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 11 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 46 | |
| 14 | Neurotic, a GDP-fucose O-fucosyltransferase, regulates Notch turnover and endocytic transportation independently of its enzymatic activity. | 1 |
| 15 | 278 | |
| 16 | 10 | |
| 17 | BIOLOGICAL ACTIVITY OF DROSOPHILA SEX-PEPTIDE EXPRESSED IN E. COLI. | 1 |
| 18 | 34 | |
| 19 | BI34 PURIFICATION OF ARGINASE FROM THE SILKMOTH, BOMBYX MORI.(Biochemistry)(Proceedings of the Fifty-Fifth Annual Meeting of the Zoological Society of Japan) | 1 |
| 20 | 10 |
About Toshiro Aigaki
Toshiro Aigaki is a scholar working on Aging, Cellular and Molecular Neuroscience and Insect Science, having authored 138 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (50 papers), Genetics, Aging, and Longevity in Model Organisms (18 papers) and Developmental Biology and Gene Regulation (16 papers). The work is most often cited by research in Aging (343 citations), Cellular and Molecular Neuroscience (1.9k citations) and Insect Science (1.1k citations). Toshiro Aigaki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Takashi Matsuo, Manabu Tsuda, Minoru Osanai, Hiroko Kasuga, Ki‐Hyeon Seong, Satomi Takeo, P.S. Chen, Marianne Bienz, Elisabeth Stumm‐Zollinger and Peter Böhlen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.